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Two-dimensional surface maps of the cortex (neocortex and part of the allocortex) of 6 mice. They are arranged according to the macroscopic location of the injection: central region of the dorsolateral convexity ( a -- c ), lateral ( d ), anterior ( e ), posterior ( f ). Right and left maps correspond to right and left hemispheres, respectively, rostral is at the top. The straight vertical line in each map corresponds to the border between dorsal and medial cortex, the elongated gray field medially corresponds to the corpus callosum (cc), the elongated gray field laterally is the olfactory tract (ot). The pyriform and entorhinal cortex are located laterally of the dotted line (the dotted line marks the dorsal border of the dark layer II of these allocortical areas, except for the most rostral part where it marks the location of the rhinal fissure). The medial piece caudally of the corpus callosum is the transition zone to the subiculum and hippocampus, both of which are not included on the maps. The white spot within the black field indicates the region of uptake. In ( a ) and ( b ), the injection was placed into the left hemisphere, in the other cases into the right hemisphere. The black region indicates the region of highest fiber density, and the regions of dense and wide hatching correspond to middle and low fiber densities, respectively. 

Two-dimensional surface maps of the cortex (neocortex and part of the allocortex) of 6 mice. They are arranged according to the macroscopic location of the injection: central region of the dorsolateral convexity ( a -- c ), lateral ( d ), anterior ( e ), posterior ( f ). Right and left maps correspond to right and left hemispheres, respectively, rostral is at the top. The straight vertical line in each map corresponds to the border between dorsal and medial cortex, the elongated gray field medially corresponds to the corpus callosum (cc), the elongated gray field laterally is the olfactory tract (ot). The pyriform and entorhinal cortex are located laterally of the dotted line (the dotted line marks the dorsal border of the dark layer II of these allocortical areas, except for the most rostral part where it marks the location of the rhinal fissure). The medial piece caudally of the corpus callosum is the transition zone to the subiculum and hippocampus, both of which are not included on the maps. The white spot within the black field indicates the region of uptake. In ( a ) and ( b ), the injection was placed into the left hemisphere, in the other cases into the right hemisphere. The black region indicates the region of highest fiber density, and the regions of dense and wide hatching correspond to middle and low fiber densities, respectively. 

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This study provides neuroanatomical data relevant to models and simulations of the propagation of activity over the cortex. We administered small injections of the anterograde tracer biotinylated dextran amine to various regions of the mouse cortex (1 per animal). Two-dimensional reconstructions of the cortical surface were made, showing the distri...

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... Figure 3 shows a coronal section close to the site of injection in the right hemisphere. Axon collaterals radiate from the injection site within the gray matter, and distant terminal fields can be seen in the cortex of both hemispheres and in the thalamus. The axons are completely filled up to—and probably also within—their terminal fields. Figures 4 and 5 show patterns of anterograde staining on maps of the flattened cortex as described in Methods. For each animal, both hemispheres are shown. In 6 animals, the injection was administered into the right, and in 2 animals into the left hemisphere. The black regions correspond to the highest density of staining, dense and wide hatching to progressively lower densities. The white spot in each figure shows the location of the injection site. Its size indicates the extent of the region of uptake as defined in Methods. In spite of the large variation in projection patterns, some properties are common to the various injections: a large field of stained fibers around the injection and patches or bands at more distant places, numbering between 1 and 8 in the injected hemisphere. In the large field around the injection site, the overall density of stained fibers decreases toward the periphery, although denser patches sometimes appear within regions of lower density. The core of highest density (black on Figs. 4 and 5) extends about 500 l m (sometimes more) from the injection site and is due to the bulk of axon collaterals of the neurons affected by the injection. The adjacent hatched regions are fed by fibers running horizontally over long distances and by other fibers that take a bow-shaped course through layer VI, some of them scratching the white matter. In distant terminal fields, individual axons can ramify such that they contribute fibers to several spots located closely to each other. This is, for example, the case in the 3 densely hatched lateral spots in the right hemisphere in Figure 5 a . It is, of course desirable to have some idea of the cortical areas involved in Figures 4 and 5. Figure 6 a shows the classical map in which Caviness (1975) has adapted the scheme of Brodmann (1909) to the mouse neocortex. On this map, we have marked the locations of the injection sites of the brains in Figures 4 and 5 (Fig. 6 b ). The localization was made by identifying the cortical areas on the Nissl sections according to the cytoarchitectonic criteria used by Caviness (1975). The shape of the map differs from that of the neocortex in our maps by its larger rostrocaudal extent. This is due to the different treatment of the frontal and occipital pole regions: flattening by distortion in the Caviness map, cutting the tip of the poles, and keeping the rest metrically correct as far as possible in our maps. By means of the landmarks indicated in Figure 6 b , it is possible to localize approximately some of the terminal fields. Some observations shall be mentioned. 1) Although the dark field around the injection site can be restricted to the corresponding cortical area, the large terminal field in continuity with it always extends over adjacent areas. 2) There is a striking similarity in the projection patterns in Figure 4b , c . This is obviously due to the fact that these injections were located in the same cytoarchitectonic area. Both injection sites project to a rostromedial region (area 6/8) and laterally to an elongated field comprising the border between area 35 and the adjacent entorhinal cortex and to a shorter elongated field of higher density, which according to the cytoarchitectonic criteria described by Caviness is at least partly contained in area 14. Both injections are located just caudally to the barrel field. 3) The 3 lateral spots in the right hemisphere in Figure 5 a are located in different areas: areas 40 and 14. 4) No fiber stain could be found in the pyriform cortex, and in the entorhinal cortex fiber stain was restricted to its lateral border (e.g., Fig. 4 b , c ). Fiber stain was occasionally found in area 27, the presubiculum (medially posteriorly in Fig. 4 f ). 5) The small hatched field close to the olfactory tract in the right hemisphere of Figure 5 b is located in the orbital region of the frontal pole (area 11). Measurements on the size of the terminal fields in the injected hemisphere were made on the maps shown in Figures 4 and 5. The field in continuity with the injection site was always larger than the sum of the remaining terminal fields (Table 1). In some cases, nearly all projections merged into one large field (Fig. 4 e and 5 b ). Table 1 shows the results of the measurements (not corrected for shrinkage). In column 1, the sum of the areas of all terminal fields in the injected hemisphere is reported for each of the 8 brains. Columns 2 and 3 show separate values for the areal size of the large terminal field in continuity with the injection site and the sum of the distant terminal fields. Columns 4--6 show separate values for the sums of the strong (i.e., black), middle, and weakly stained regions. The table also shows the approximate diameter of the region of uptake, as well as the cytoarchitectonic area in which the injection site was located. The total area of the terminal fields ranges between about 2 2 7 and 22 mm , with an average of 12 mm . The difference in size can largely be explained by the inevitable variation in the strength of the injections and the corresponding variation in the size of the regions of uptake, with their diameters rang- ing between 200 and 400 l m (200 l m is the diameter of the dendritic extension of a large pyramidal cell in the mouse). 2 The region of uptake ranged between about 0.03 and 0.1 mm in area. As can be seen from Table 1, in all injections the main part of the terminal field consisted of weak projections (widely hatched regions in Figs. 4 and 5). If we exclude these, the size of the terminal fields (medium plus strong) ranges between 2.5 and 8.8 mm 2 , with an average of 4.7 mm 2 . The average size of the surface area of the entire neocortex of one hemisphere was 64 mm 2 . Thus, the neurons from a middle-sized column of about 300 l m in diameter can reach about 7% of the total neocortex by projections of high plus middle strength, and even about 19% if the weak projections are included. If we translate the measurements of Table 1 into degrees of divergence by dividing the area of the terminal fields by the area of the region of uptake, we get an average factor of 73 (with individual values between 45 and 122) for the strong plus middle projections and an average factor of 182 (with individual values between 122 and 298) if we include the weak connections. (The large range in the individual values may be partly due to the fact that the values for the size of the region of uptake are approximations only.) In 2 of the brains (Fig. 5) we quantified the densities of stained fibers in distant projections. The contralateral projection in Figure 5 b was one of the densest projections in our material (see micrograph in Fig. 7), whereas the rostral spot in the ipsilateral hemisphere was one of the weakest (see Fig. 8). We therefore took these 2 spots as instances of an upper and a lower limit. The densities of the 2 projections measured in Figure 5 a were in between. The results are shown in Figure 5 and Table 2. For comparison with other data (see Discussion), we express these densities in fiber length per cubic millimeters. Table 2 shows the raw data. The data in Figure 5 indicate the maximum densities measured in each spot because the maximum value may be relevant for the question of how strongly distant places in the cortex can influence each other functionally. These maximum values range 3 between 4.6 and 21 m/mm . The higher value may be an underestimate by some meters per cubic millimeters because in dense regions some intersections with the test line may escape the observer. Thus, the maximum density in the contralateral spot in Figure 5 b may be rounded up to 25 m/mm 3 . We also counted the number of axons entering a terminal field from below. Assuming that each of these axons comes from a different pyramidal cell, this number is a measure of the number of neurons projecting from the injection site to that terminal field. The results of these counts are also reported in Figures 5 a , b . In Figure 5 b , the number of axons entering a terminal field ranged between 14 for the weak spot to about 890 fibers running toward the dense and middle dense region of the callosal spot. The number for the contralateral spot in Figure 5 a was about 230 and for one of the ipsilateral spots 540. We also made an estimate of the number of neurons that had taken up the tracer in the brains in Figure 5. To a first approximation, one can calculate the number of neurons within the region of uptake. This calculation is made on the basis of the diameter of the region of uptake given in Table 1 and the number of neurons under 1 mm 2 of cortical surface area, which is about 10 5 in the mouse (Rockel and others 1980; Schu ̈ z and Palm 1989). However, not all the neurons within the region of uptake defined by the bundles of stained descending axons have necessarily taken up the tracer. In the core region, all neurons appeared to have taken up the tracer because the density of stained cell bodies there was as high as the known cell density in the mouse (Schu ̈ z and Palm 1989). Toward the periphery, the density of stained cells decreases relatively sharply. According to our estimates, an ...
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... variation in the strength of the injections and the corresponding variation in the size of the regions of uptake, with their diameters rang- ing between 200 and 400 l m (200 l m is the diameter of the dendritic extension of a large pyramidal cell in the mouse). 2 The region of uptake ranged between about 0.03 and 0.1 mm in area. As can be seen from Table 1, in all injections the main part of the terminal field consisted of weak projections (widely hatched regions in Figs. 4 and 5). If we exclude these, the size of the terminal fields (medium plus strong) ranges between 2.5 and 8.8 mm 2 , with an average of 4.7 mm 2 . The average size of the surface area of the entire neocortex of one hemisphere was 64 mm 2 . Thus, the neurons from a middle-sized column of about 300 l m in diameter can reach about 7% of the total neocortex by projections of high plus middle strength, and even about 19% if the weak projections are included. If we translate the measurements of Table 1 into degrees of divergence by dividing the area of the terminal fields by the area of the region of uptake, we get an average factor of 73 (with individual values between 45 and 122) for the strong plus middle projections and an average factor of 182 (with individual values between 122 and 298) if we include the weak connections. (The large range in the individual values may be partly due to the fact that the values for the size of the region of uptake are approximations only.) In 2 of the brains (Fig. 5) we quantified the densities of stained fibers in distant projections. The contralateral projection in Figure 5 b was one of the densest projections in our material (see micrograph in Fig. 7), whereas the rostral spot in the ipsilateral hemisphere was one of the weakest (see Fig. 8). We therefore took these 2 spots as instances of an upper and a lower limit. The densities of the 2 projections measured in Figure 5 a were in between. The results are shown in Figure 5 and Table 2. For comparison with other data (see Discussion), we express these densities in fiber length per cubic millimeters. Table 2 shows the raw data. The data in Figure 5 indicate the maximum densities measured in each spot because the maximum value may be relevant for the question of how strongly distant places in the cortex can influence each other functionally. These maximum values range 3 between 4.6 and 21 m/mm . The higher value may be an underestimate by some meters per cubic millimeters because in dense regions some intersections with the test line may escape the observer. Thus, the maximum density in the contralateral spot in Figure 5 b may be rounded up to 25 m/mm 3 . We also counted the number of axons entering a terminal field from below. Assuming that each of these axons comes from a different pyramidal cell, this number is a measure of the number of neurons projecting from the injection site to that terminal field. The results of these counts are also reported in Figures 5 a , b . In Figure 5 b , the number of axons entering a terminal field ranged between 14 for the weak spot to about 890 fibers running toward the dense and middle dense region of the callosal spot. The number for the contralateral spot in Figure 5 a was about 230 and for one of the ipsilateral spots 540. We also made an estimate of the number of neurons that had taken up the tracer in the brains in Figure 5. To a first approximation, one can calculate the number of neurons within the region of uptake. This calculation is made on the basis of the diameter of the region of uptake given in Table 1 and the number of neurons under 1 mm 2 of cortical surface area, which is about 10 5 in the mouse (Rockel and others 1980; Schu ̈ z and Palm 1989). However, not all the neurons within the region of uptake defined by the bundles of stained descending axons have necessarily taken up the tracer. In the core region, all neurons appeared to have taken up the tracer because the density of stained cell bodies there was as high as the known cell density in the mouse (Schu ̈ z and Palm 1989). Toward the periphery, the density of stained cells decreases relatively sharply. According to our estimates, an equivalent cylinder, containing as many neurons as stained in the core region and its halo of lesser staining, has a diameter about 60 l m lesser than the region of uptake defined by the stained descending axons. With this reduced region of uptake, we end up with a number of about 9074 stained neurons in the brain in Figure 5 b . Because we are concerned with the pyramidal cells that project over larger distances, we subtract from this number 15% nonpyramidal cells (Peters and others 1985; Braak H and Braak E 1986), which leads to an estimate of about 7700 pyramidal cells. The injection in Figure 5 a was smaller, and some of the cortical gray substance was mechanically destroyed by the injection. The number of stained pyramidal cells was about 2900 in this case. In all cases (with the exception of the brain in Fig. 4 f ) fiber stain could also be found in the contralateral hemisphere in a position symmetrical to the place of injection. In some of the injections, additional stain could be found in other (i.e., nonhomotopic) positions on the contralateral side. When such projections were present in the contralateral hemisphere, terminal fields were always found in the corresponding position in the injected hemisphere. This raised the question as to whether these nonhomotopic callosal projections come directly from the injection site or rather are mediated by neurons stained retrogradely through one of their axonal branches and reaching the opposite side through another. In some cases, marked by an asterisk in Figures 4 and 5, the latter possibility could not be excluded entirely because in these cases some retrogradely stained neurons were found on the side of the injection. Nor can we fully exclude that some of the weakly hatched regions around the homotopic contralateral spots are slightly enlarged due to fibers coming from retrogradely stained neurons in the vicinity of the injection site. However, in other cases it was clear that nonhomotopic terminal fields were fed directly from the injection site. For example, in the brain in Figure 5 a , some 230 fibers entered the contralateral terminal field symmetrical to the injection site, whereas at least twice as many crossed the corpus callosum. The rest of the stained fibers bypassed the homotopic site to reach the terminal field located more laterally. Occasionally, an individual axon could be seen to ramify in the other hemisphere to reach 2 closely located contralateral terminal fields (e.g., brain in Fig. 4 e ) or to supply both the symmetrical contralateral field and its weakly stained surround- ings (e.g., brain in Fig. 4 b ). Wherever axons run in the plane of sectioning, they could be followed in their entirety. They showed rich ramifications upon reentering the cortex. This makes it probable that the tracer filled the axonal trees completely. When employing anterograde tracers one should be aware of the possibility of a certain amount of aberrant staining: transneuronal staining, retrograde staining, or staining of fibers passing the injection site. This raises the question of the extent to which the pictures in Figures 4 and 5 are partly the result of such aberrant staining. We scrutinized our whole collection of BDA tracer preparations, which included deep cortical and subcortical injections, but found no evidence for transneuronal staining. However, evidence could be found for staining of fibers passing an injection site in both retrograde and anterograde directions. In our material, this phenomenon seemed to have been restricted to fibers injured by the electrode. The existence of a limited number of Golgi-like retrogradely stained neurons has already been mentioned, a phenomenon that may be activity dependent (Jiang and others 1993). Both the fiber stain due to retrogradely stained neurons and the staining of injured fibers of passage are, however, responsible for a small percentage of stained fibers only. We can exclude that these artifacts had any effects on the size of the middle and densely stained terminal fields. Nor do we believe that they increased the size of the weak projection fields more than slightly because we had taken the precautions described in The Problem of Retrograde Staining. The location of the tip of the electrode varied between layers III/IV and V. This had some influence on the width of the region of uptake in the various layers, but in each case, neurons in all layers had taken up the tracer, as could be gathered from the distribution of darkly stained cell bodies. The existence of nonhomotopic callosal projections in rodents has been debated. For a review see Innocenti (1986). The presence of such projections is evident in our material. The complete lack of contralateral fiber stain in Figure 4 f requires some explanation. This map shows an injection into area 17, the main part of which is known to be ‘‘acallosal’’ (also in the mouse; Yorke and Caviness 1975). In addition, as can be seen on the figure, this brain had an exceptionally small corpus callosum, possibly lacking some of the normal callosal fiber components. The axonal tree of a typical pyramidal cell is divided into local axon collaterals radiating in all directions within the gray matter and a main axon running through the white matter to a selected distant location. In the small brain of the mouse, this neat distinction into gray matter axon collaterals and white matter main axons can only be made with respect to the callosal and subcortical projections. In the large terminal field continuous with the injection site, the 2 systems cannot be separated because the main axons do not enter the white matter and can therefore often not be distinguished from long axon collaterals. Even in more distant projections within the same hemisphere, the main axons tend ...
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... in Fig. 7), whereas the rostral spot in the ipsilateral hemisphere was one of the weakest (see Fig. 8). We therefore took these 2 spots as instances of an upper and a lower limit. The densities of the 2 projections measured in Figure 5 a were in between. The results are shown in Figure 5 and Table 2. For comparison with other data (see Discussion), we express these densities in fiber length per cubic millimeters. Table 2 shows the raw data. The data in Figure 5 indicate the maximum densities measured in each spot because the maximum value may be relevant for the question of how strongly distant places in the cortex can influence each other functionally. These maximum values range 3 between 4.6 and 21 m/mm . The higher value may be an underestimate by some meters per cubic millimeters because in dense regions some intersections with the test line may escape the observer. Thus, the maximum density in the contralateral spot in Figure 5 b may be rounded up to 25 m/mm 3 . We also counted the number of axons entering a terminal field from below. Assuming that each of these axons comes from a different pyramidal cell, this number is a measure of the number of neurons projecting from the injection site to that terminal field. The results of these counts are also reported in Figures 5 a , b . In Figure 5 b , the number of axons entering a terminal field ranged between 14 for the weak spot to about 890 fibers running toward the dense and middle dense region of the callosal spot. The number for the contralateral spot in Figure 5 a was about 230 and for one of the ipsilateral spots 540. We also made an estimate of the number of neurons that had taken up the tracer in the brains in Figure 5. To a first approximation, one can calculate the number of neurons within the region of uptake. This calculation is made on the basis of the diameter of the region of uptake given in Table 1 and the number of neurons under 1 mm 2 of cortical surface area, which is about 10 5 in the mouse (Rockel and others 1980; Schu ̈ z and Palm 1989). However, not all the neurons within the region of uptake defined by the bundles of stained descending axons have necessarily taken up the tracer. In the core region, all neurons appeared to have taken up the tracer because the density of stained cell bodies there was as high as the known cell density in the mouse (Schu ̈ z and Palm 1989). Toward the periphery, the density of stained cells decreases relatively sharply. According to our estimates, an equivalent cylinder, containing as many neurons as stained in the core region and its halo of lesser staining, has a diameter about 60 l m lesser than the region of uptake defined by the stained descending axons. With this reduced region of uptake, we end up with a number of about 9074 stained neurons in the brain in Figure 5 b . Because we are concerned with the pyramidal cells that project over larger distances, we subtract from this number 15% nonpyramidal cells (Peters and others 1985; Braak H and Braak E 1986), which leads to an estimate of about 7700 pyramidal cells. The injection in Figure 5 a was smaller, and some of the cortical gray substance was mechanically destroyed by the injection. The number of stained pyramidal cells was about 2900 in this case. In all cases (with the exception of the brain in Fig. 4 f ) fiber stain could also be found in the contralateral hemisphere in a position symmetrical to the place of injection. In some of the injections, additional stain could be found in other (i.e., nonhomotopic) positions on the contralateral side. When such projections were present in the contralateral hemisphere, terminal fields were always found in the corresponding position in the injected hemisphere. This raised the question as to whether these nonhomotopic callosal projections come directly from the injection site or rather are mediated by neurons stained retrogradely through one of their axonal branches and reaching the opposite side through another. In some cases, marked by an asterisk in Figures 4 and 5, the latter possibility could not be excluded entirely because in these cases some retrogradely stained neurons were found on the side of the injection. Nor can we fully exclude that some of the weakly hatched regions around the homotopic contralateral spots are slightly enlarged due to fibers coming from retrogradely stained neurons in the vicinity of the injection site. However, in other cases it was clear that nonhomotopic terminal fields were fed directly from the injection site. For example, in the brain in Figure 5 a , some 230 fibers entered the contralateral terminal field symmetrical to the injection site, whereas at least twice as many crossed the corpus callosum. The rest of the stained fibers bypassed the homotopic site to reach the terminal field located more laterally. Occasionally, an individual axon could be seen to ramify in the other hemisphere to reach 2 closely located contralateral terminal fields (e.g., brain in Fig. 4 e ) or to supply both the symmetrical contralateral field and its weakly stained surround- ings (e.g., brain in Fig. 4 b ). Wherever axons run in the plane of sectioning, they could be followed in their entirety. They showed rich ramifications upon reentering the cortex. This makes it probable that the tracer filled the axonal trees completely. When employing anterograde tracers one should be aware of the possibility of a certain amount of aberrant staining: transneuronal staining, retrograde staining, or staining of fibers passing the injection site. This raises the question of the extent to which the pictures in Figures 4 and 5 are partly the result of such aberrant staining. We scrutinized our whole collection of BDA tracer preparations, which included deep cortical and subcortical injections, but found no evidence for transneuronal staining. However, evidence could be found for staining of fibers passing an injection site in both retrograde and anterograde directions. In our material, this phenomenon seemed to have been restricted to fibers injured by the electrode. The existence of a limited number of Golgi-like retrogradely stained neurons has already been mentioned, a phenomenon that may be activity dependent (Jiang and others 1993). Both the fiber stain due to retrogradely stained neurons and the staining of injured fibers of passage are, however, responsible for a small percentage of stained fibers only. We can exclude that these artifacts had any effects on the size of the middle and densely stained terminal fields. Nor do we believe that they increased the size of the weak projection fields more than slightly because we had taken the precautions described in The Problem of Retrograde Staining. The location of the tip of the electrode varied between layers III/IV and V. This had some influence on the width of the region of uptake in the various layers, but in each case, neurons in all layers had taken up the tracer, as could be gathered from the distribution of darkly stained cell bodies. The existence of nonhomotopic callosal projections in rodents has been debated. For a review see Innocenti (1986). The presence of such projections is evident in our material. The complete lack of contralateral fiber stain in Figure 4 f requires some explanation. This map shows an injection into area 17, the main part of which is known to be ‘‘acallosal’’ (also in the mouse; Yorke and Caviness 1975). In addition, as can be seen on the figure, this brain had an exceptionally small corpus callosum, possibly lacking some of the normal callosal fiber components. The axonal tree of a typical pyramidal cell is divided into local axon collaterals radiating in all directions within the gray matter and a main axon running through the white matter to a selected distant location. In the small brain of the mouse, this neat distinction into gray matter axon collaterals and white matter main axons can only be made with respect to the callosal and subcortical projections. In the large terminal field continuous with the injection site, the 2 systems cannot be separated because the main axons do not enter the white matter and can therefore often not be distinguished from long axon collaterals. Even in more distant projections within the same hemisphere, the main axons tend to be reluctant to enter the white matter. In the following discussion, we shall therefore use the terms ‘‘local connections’’ for those fibers constituting the black field around the injection site in Figures 4 and 5 and ‘‘distant connections’’ for all those constituting the hatched regions. The term ‘‘distant spots’’ refers exclusively to the spots of terminal fields disconnected from the large field in continuity with the injection site. Let us assume that a nest of neurons has been activated somewhere in the cortex, for example due to thalamic input. The activity will be relatively strong in the immediate vicinity of the activated neurons because all of them contribute axon collaterals to the local field. A particular distant spot will, however, only be reached by some of the activated neurons because only some of the pyramidal cells at a given place will project to the same distant spot. Most pyramidal cells probably have only one main axon projecting to a distant spot in the cortex. This assumption is supported by double-labeling experiments that show that callosally and intrahemispherically projecting neurons are largely separate populations (Andersen and others 1982; Schwartz and Goldman-Rakic 1982; however, for evidence of ramifying main axons in subcortically projecting pyramidal cells see Cowan and Wilson 1994; Desche ˆ nes and others 1994; Levesque and others 1996). What then are the chances that the activity at a given place A transmitted to a particular distant spot B can activate neurons in B? We leave the final answer to the neurophysiologist or the theoretician modeling cortical activity but will deal with this question below as ...
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... these 2 spots as instances of an upper and a lower limit. The densities of the 2 projections measured in Figure 5 a were in between. The results are shown in Figure 5 and Table 2. For comparison with other data (see Discussion), we express these densities in fiber length per cubic millimeters. Table 2 shows the raw data. The data in Figure 5 indicate the maximum densities measured in each spot because the maximum value may be relevant for the question of how strongly distant places in the cortex can influence each other functionally. These maximum values range 3 between 4.6 and 21 m/mm . The higher value may be an underestimate by some meters per cubic millimeters because in dense regions some intersections with the test line may escape the observer. Thus, the maximum density in the contralateral spot in Figure 5 b may be rounded up to 25 m/mm 3 . We also counted the number of axons entering a terminal field from below. Assuming that each of these axons comes from a different pyramidal cell, this number is a measure of the number of neurons projecting from the injection site to that terminal field. The results of these counts are also reported in Figures 5 a , b . In Figure 5 b , the number of axons entering a terminal field ranged between 14 for the weak spot to about 890 fibers running toward the dense and middle dense region of the callosal spot. The number for the contralateral spot in Figure 5 a was about 230 and for one of the ipsilateral spots 540. We also made an estimate of the number of neurons that had taken up the tracer in the brains in Figure 5. To a first approximation, one can calculate the number of neurons within the region of uptake. This calculation is made on the basis of the diameter of the region of uptake given in Table 1 and the number of neurons under 1 mm 2 of cortical surface area, which is about 10 5 in the mouse (Rockel and others 1980; Schu ̈ z and Palm 1989). However, not all the neurons within the region of uptake defined by the bundles of stained descending axons have necessarily taken up the tracer. In the core region, all neurons appeared to have taken up the tracer because the density of stained cell bodies there was as high as the known cell density in the mouse (Schu ̈ z and Palm 1989). Toward the periphery, the density of stained cells decreases relatively sharply. According to our estimates, an equivalent cylinder, containing as many neurons as stained in the core region and its halo of lesser staining, has a diameter about 60 l m lesser than the region of uptake defined by the stained descending axons. With this reduced region of uptake, we end up with a number of about 9074 stained neurons in the brain in Figure 5 b . Because we are concerned with the pyramidal cells that project over larger distances, we subtract from this number 15% nonpyramidal cells (Peters and others 1985; Braak H and Braak E 1986), which leads to an estimate of about 7700 pyramidal cells. The injection in Figure 5 a was smaller, and some of the cortical gray substance was mechanically destroyed by the injection. The number of stained pyramidal cells was about 2900 in this case. In all cases (with the exception of the brain in Fig. 4 f ) fiber stain could also be found in the contralateral hemisphere in a position symmetrical to the place of injection. In some of the injections, additional stain could be found in other (i.e., nonhomotopic) positions on the contralateral side. When such projections were present in the contralateral hemisphere, terminal fields were always found in the corresponding position in the injected hemisphere. This raised the question as to whether these nonhomotopic callosal projections come directly from the injection site or rather are mediated by neurons stained retrogradely through one of their axonal branches and reaching the opposite side through another. In some cases, marked by an asterisk in Figures 4 and 5, the latter possibility could not be excluded entirely because in these cases some retrogradely stained neurons were found on the side of the injection. Nor can we fully exclude that some of the weakly hatched regions around the homotopic contralateral spots are slightly enlarged due to fibers coming from retrogradely stained neurons in the vicinity of the injection site. However, in other cases it was clear that nonhomotopic terminal fields were fed directly from the injection site. For example, in the brain in Figure 5 a , some 230 fibers entered the contralateral terminal field symmetrical to the injection site, whereas at least twice as many crossed the corpus callosum. The rest of the stained fibers bypassed the homotopic site to reach the terminal field located more laterally. Occasionally, an individual axon could be seen to ramify in the other hemisphere to reach 2 closely located contralateral terminal fields (e.g., brain in Fig. 4 e ) or to supply both the symmetrical contralateral field and its weakly stained surround- ings (e.g., brain in Fig. 4 b ). Wherever axons run in the plane of sectioning, they could be followed in their entirety. They showed rich ramifications upon reentering the cortex. This makes it probable that the tracer filled the axonal trees completely. When employing anterograde tracers one should be aware of the possibility of a certain amount of aberrant staining: transneuronal staining, retrograde staining, or staining of fibers passing the injection site. This raises the question of the extent to which the pictures in Figures 4 and 5 are partly the result of such aberrant staining. We scrutinized our whole collection of BDA tracer preparations, which included deep cortical and subcortical injections, but found no evidence for transneuronal staining. However, evidence could be found for staining of fibers passing an injection site in both retrograde and anterograde directions. In our material, this phenomenon seemed to have been restricted to fibers injured by the electrode. The existence of a limited number of Golgi-like retrogradely stained neurons has already been mentioned, a phenomenon that may be activity dependent (Jiang and others 1993). Both the fiber stain due to retrogradely stained neurons and the staining of injured fibers of passage are, however, responsible for a small percentage of stained fibers only. We can exclude that these artifacts had any effects on the size of the middle and densely stained terminal fields. Nor do we believe that they increased the size of the weak projection fields more than slightly because we had taken the precautions described in The Problem of Retrograde Staining. The location of the tip of the electrode varied between layers III/IV and V. This had some influence on the width of the region of uptake in the various layers, but in each case, neurons in all layers had taken up the tracer, as could be gathered from the distribution of darkly stained cell bodies. The existence of nonhomotopic callosal projections in rodents has been debated. For a review see Innocenti (1986). The presence of such projections is evident in our material. The complete lack of contralateral fiber stain in Figure 4 f requires some explanation. This map shows an injection into area 17, the main part of which is known to be ‘‘acallosal’’ (also in the mouse; Yorke and Caviness 1975). In addition, as can be seen on the figure, this brain had an exceptionally small corpus callosum, possibly lacking some of the normal callosal fiber components. The axonal tree of a typical pyramidal cell is divided into local axon collaterals radiating in all directions within the gray matter and a main axon running through the white matter to a selected distant location. In the small brain of the mouse, this neat distinction into gray matter axon collaterals and white matter main axons can only be made with respect to the callosal and subcortical projections. In the large terminal field continuous with the injection site, the 2 systems cannot be separated because the main axons do not enter the white matter and can therefore often not be distinguished from long axon collaterals. Even in more distant projections within the same hemisphere, the main axons tend to be reluctant to enter the white matter. In the following discussion, we shall therefore use the terms ‘‘local connections’’ for those fibers constituting the black field around the injection site in Figures 4 and 5 and ‘‘distant connections’’ for all those constituting the hatched regions. The term ‘‘distant spots’’ refers exclusively to the spots of terminal fields disconnected from the large field in continuity with the injection site. Let us assume that a nest of neurons has been activated somewhere in the cortex, for example due to thalamic input. The activity will be relatively strong in the immediate vicinity of the activated neurons because all of them contribute axon collaterals to the local field. A particular distant spot will, however, only be reached by some of the activated neurons because only some of the pyramidal cells at a given place will project to the same distant spot. Most pyramidal cells probably have only one main axon projecting to a distant spot in the cortex. This assumption is supported by double-labeling experiments that show that callosally and intrahemispherically projecting neurons are largely separate populations (Andersen and others 1982; Schwartz and Goldman-Rakic 1982; however, for evidence of ramifying main axons in subcortically projecting pyramidal cells see Cowan and Wilson 1994; Desche ˆ nes and others 1994; Levesque and others 1996). What then are the chances that the activity at a given place A transmitted to a particular distant spot B can activate neurons in B? We leave the final answer to the neurophysiologist or the theoretician modeling cortical activity but will deal with this question below as far as possible from an anatomical point of view. The percentage of pyramidal cells that project from a given injection ...
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... the density of stained cell bodies there was as high as the known cell density in the mouse (Schu ̈ z and Palm 1989). Toward the periphery, the density of stained cells decreases relatively sharply. According to our estimates, an equivalent cylinder, containing as many neurons as stained in the core region and its halo of lesser staining, has a diameter about 60 l m lesser than the region of uptake defined by the stained descending axons. With this reduced region of uptake, we end up with a number of about 9074 stained neurons in the brain in Figure 5 b . Because we are concerned with the pyramidal cells that project over larger distances, we subtract from this number 15% nonpyramidal cells (Peters and others 1985; Braak H and Braak E 1986), which leads to an estimate of about 7700 pyramidal cells. The injection in Figure 5 a was smaller, and some of the cortical gray substance was mechanically destroyed by the injection. The number of stained pyramidal cells was about 2900 in this case. In all cases (with the exception of the brain in Fig. 4 f ) fiber stain could also be found in the contralateral hemisphere in a position symmetrical to the place of injection. In some of the injections, additional stain could be found in other (i.e., nonhomotopic) positions on the contralateral side. When such projections were present in the contralateral hemisphere, terminal fields were always found in the corresponding position in the injected hemisphere. This raised the question as to whether these nonhomotopic callosal projections come directly from the injection site or rather are mediated by neurons stained retrogradely through one of their axonal branches and reaching the opposite side through another. In some cases, marked by an asterisk in Figures 4 and 5, the latter possibility could not be excluded entirely because in these cases some retrogradely stained neurons were found on the side of the injection. Nor can we fully exclude that some of the weakly hatched regions around the homotopic contralateral spots are slightly enlarged due to fibers coming from retrogradely stained neurons in the vicinity of the injection site. However, in other cases it was clear that nonhomotopic terminal fields were fed directly from the injection site. For example, in the brain in Figure 5 a , some 230 fibers entered the contralateral terminal field symmetrical to the injection site, whereas at least twice as many crossed the corpus callosum. The rest of the stained fibers bypassed the homotopic site to reach the terminal field located more laterally. Occasionally, an individual axon could be seen to ramify in the other hemisphere to reach 2 closely located contralateral terminal fields (e.g., brain in Fig. 4 e ) or to supply both the symmetrical contralateral field and its weakly stained surround- ings (e.g., brain in Fig. 4 b ). Wherever axons run in the plane of sectioning, they could be followed in their entirety. They showed rich ramifications upon reentering the cortex. This makes it probable that the tracer filled the axonal trees completely. When employing anterograde tracers one should be aware of the possibility of a certain amount of aberrant staining: transneuronal staining, retrograde staining, or staining of fibers passing the injection site. This raises the question of the extent to which the pictures in Figures 4 and 5 are partly the result of such aberrant staining. We scrutinized our whole collection of BDA tracer preparations, which included deep cortical and subcortical injections, but found no evidence for transneuronal staining. However, evidence could be found for staining of fibers passing an injection site in both retrograde and anterograde directions. In our material, this phenomenon seemed to have been restricted to fibers injured by the electrode. The existence of a limited number of Golgi-like retrogradely stained neurons has already been mentioned, a phenomenon that may be activity dependent (Jiang and others 1993). Both the fiber stain due to retrogradely stained neurons and the staining of injured fibers of passage are, however, responsible for a small percentage of stained fibers only. We can exclude that these artifacts had any effects on the size of the middle and densely stained terminal fields. Nor do we believe that they increased the size of the weak projection fields more than slightly because we had taken the precautions described in The Problem of Retrograde Staining. The location of the tip of the electrode varied between layers III/IV and V. This had some influence on the width of the region of uptake in the various layers, but in each case, neurons in all layers had taken up the tracer, as could be gathered from the distribution of darkly stained cell bodies. The existence of nonhomotopic callosal projections in rodents has been debated. For a review see Innocenti (1986). The presence of such projections is evident in our material. The complete lack of contralateral fiber stain in Figure 4 f requires some explanation. This map shows an injection into area 17, the main part of which is known to be ‘‘acallosal’’ (also in the mouse; Yorke and Caviness 1975). In addition, as can be seen on the figure, this brain had an exceptionally small corpus callosum, possibly lacking some of the normal callosal fiber components. The axonal tree of a typical pyramidal cell is divided into local axon collaterals radiating in all directions within the gray matter and a main axon running through the white matter to a selected distant location. In the small brain of the mouse, this neat distinction into gray matter axon collaterals and white matter main axons can only be made with respect to the callosal and subcortical projections. In the large terminal field continuous with the injection site, the 2 systems cannot be separated because the main axons do not enter the white matter and can therefore often not be distinguished from long axon collaterals. Even in more distant projections within the same hemisphere, the main axons tend to be reluctant to enter the white matter. In the following discussion, we shall therefore use the terms ‘‘local connections’’ for those fibers constituting the black field around the injection site in Figures 4 and 5 and ‘‘distant connections’’ for all those constituting the hatched regions. The term ‘‘distant spots’’ refers exclusively to the spots of terminal fields disconnected from the large field in continuity with the injection site. Let us assume that a nest of neurons has been activated somewhere in the cortex, for example due to thalamic input. The activity will be relatively strong in the immediate vicinity of the activated neurons because all of them contribute axon collaterals to the local field. A particular distant spot will, however, only be reached by some of the activated neurons because only some of the pyramidal cells at a given place will project to the same distant spot. Most pyramidal cells probably have only one main axon projecting to a distant spot in the cortex. This assumption is supported by double-labeling experiments that show that callosally and intrahemispherically projecting neurons are largely separate populations (Andersen and others 1982; Schwartz and Goldman-Rakic 1982; however, for evidence of ramifying main axons in subcortically projecting pyramidal cells see Cowan and Wilson 1994; Desche ˆ nes and others 1994; Levesque and others 1996). What then are the chances that the activity at a given place A transmitted to a particular distant spot B can activate neurons in B? We leave the final answer to the neurophysiologist or the theoretician modeling cortical activity but will deal with this question below as far as possible from an anatomical point of view. The percentage of pyramidal cells that project from a given injection site to some distant spot may be taken as an indication of the relative strength of distant connections. In Figure 5 b the number of pyramidal cells projecting to the contralateral spot (ignoring the weak halo) is about 890. This is 12% of the about 7700 pyramidal cells that have taken up the tracer. In the case of Figure 5 a , 540 out of 2900, that is, 19% of the stained pyramidal cells, project to the distant ipsilateral spot investigated. This means that 1/8 to 1/5 of the neurons from a given injection site can contribute fibers to a distant spot. Let us now investigate how this translates in fiber densities. The maximum density of stained fibers measured in a distant spot in the brain in Figure 5 b was about 25 m/mm 3 . This is very 3 little compared with the total axonal length in 1 mm , which is about 4 km in the mouse (Braitenberg and Schu ̈ z 1991; for comparable values in the cat see Foh and others 1973), that is, only about 0.6%. (If we take into account a volume shrinkage to 74% in the BDA preparations [see Methods], the maximum density reduces to 19 m/mm 3 , corresponding to 0.5% of the total axonal population.) In view of the overall arrangement of synapses along axons (Braitenberg 1978 b ; Amir and others 1993; Hellwig and others 1994; Houzel and others 1994; Anderson and others 2002), we take fiber density as a direct indication of synaptic density. Functionally speaking, this implies that of the 8000 postsynaptic sites on a dendritic tree of a pyramidal cell in the mouse (Braitenberg and Schu ̈ z 1991), about 48 synapses can be activated from a distant site of activation (in the event of a strong projection from that site). How do these values compare with the situation in the local terminal field in the vicinity of the injection site? This question cannot be answered by direct measurement because the density of stained fibers in the black regions in Figures 4 and 5 is too high to be measured by stereological methods. However, the density of fibers in the black region can be estimated as follows. In former work we came to the conclusion that individual pyramidal cells in the mouse have a total ...
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... Figure 3 shows a coronal section close to the site of injection in the right hemisphere. Axon collaterals radiate from the injection site within the gray matter, and distant terminal fields can be seen in the cortex of both hemispheres and in the thalamus. The axons are completely filled up to—and probably also within—their terminal fields. Figures 4 and 5 show patterns of anterograde staining on maps of the flattened cortex as described in Methods. For each animal, both hemispheres are shown. In 6 animals, the injection was administered into the right, and in 2 animals into the left hemisphere. The black regions correspond to the highest density of staining, dense and wide hatching to progressively lower densities. The white spot in each figure shows the location of the injection site. Its size indicates the extent of the region of uptake as defined in Methods. In spite of the large variation in projection patterns, some properties are common to the various injections: a large field of stained fibers around the injection and patches or bands at more distant places, numbering between 1 and 8 in the injected hemisphere. In the large field around the injection site, the overall density of stained fibers decreases toward the periphery, although denser patches sometimes appear within regions of lower density. The core of highest density (black on Figs. 4 and 5) extends about 500 l m (sometimes more) from the injection site and is due to the bulk of axon collaterals of the neurons affected by the injection. The adjacent hatched regions are fed by fibers running horizontally over long distances and by other fibers that take a bow-shaped course through layer VI, some of them scratching the white matter. In distant terminal fields, individual axons can ramify such that they contribute fibers to several spots located closely to each other. This is, for example, the case in the 3 densely hatched lateral spots in the right hemisphere in Figure 5 a . It is, of course desirable to have some idea of the cortical areas involved in Figures 4 and 5. Figure 6 a shows the classical map in which Caviness (1975) has adapted the scheme of Brodmann (1909) to the mouse neocortex. On this map, we have marked the locations of the injection sites of the brains in Figures 4 and 5 (Fig. 6 b ). The localization was made by identifying the cortical areas on the Nissl sections according to the cytoarchitectonic criteria used by Caviness (1975). The shape of the map differs from that of the neocortex in our maps by its larger rostrocaudal extent. This is due to the different treatment of the frontal and occipital pole regions: flattening by distortion in the Caviness map, cutting the tip of the poles, and keeping the rest metrically correct as far as possible in our maps. By means of the landmarks indicated in Figure 6 b , it is possible to localize approximately some of the terminal fields. Some observations shall be mentioned. 1) Although the dark field around the injection site can be restricted to the corresponding cortical area, the large terminal field in continuity with it always extends over adjacent areas. 2) There is a striking similarity in the projection patterns in Figure 4b , c . This is obviously due to the fact that these injections were located in the same cytoarchitectonic area. Both injection sites project to a rostromedial region (area 6/8) and laterally to an elongated field comprising the border between area 35 and the adjacent entorhinal cortex and to a shorter elongated field of higher density, which according to the cytoarchitectonic criteria described by Caviness is at least partly contained in area 14. Both injections are located just caudally to the barrel field. 3) The 3 lateral spots in the right hemisphere in Figure 5 a are located in different areas: areas 40 and 14. 4) No fiber stain could be found in the pyriform cortex, and in the entorhinal cortex fiber stain was restricted to its lateral border (e.g., Fig. 4 b , c ). Fiber stain was occasionally found in area 27, the presubiculum (medially posteriorly in Fig. 4 f ). 5) The small hatched field close to the olfactory tract in the right hemisphere of Figure 5 b is located in the orbital region of the frontal pole (area 11). Measurements on the size of the terminal fields in the injected hemisphere were made on the maps shown in Figures 4 and 5. The field in continuity with the injection site was always larger than the sum of the remaining terminal fields (Table 1). In some cases, nearly all projections merged into one large field (Fig. 4 e and 5 b ). Table 1 shows the results of the measurements (not corrected for shrinkage). In column 1, the sum of the areas of all terminal fields in the injected hemisphere is reported for each of the 8 brains. Columns 2 and 3 show separate values for the areal size of the large terminal field in continuity with the injection site and the sum of the distant terminal fields. Columns 4--6 show separate values for the sums of the strong (i.e., black), middle, and weakly stained regions. The table also shows the approximate diameter of the region of uptake, as well as the cytoarchitectonic area in which the injection site was located. The total area of the terminal fields ranges between about 2 2 7 and 22 mm , with an average of 12 mm . The difference in size can largely be explained by the inevitable variation in the strength of the injections and the corresponding variation in the size of the regions of uptake, with their diameters rang- ing between 200 and 400 l m (200 l m is the diameter of the dendritic extension of a large pyramidal cell in the mouse). 2 The region of uptake ranged between about 0.03 and 0.1 mm in area. As can be seen from Table 1, in all injections the main part of the terminal field consisted of weak projections (widely hatched regions in Figs. 4 and 5). If we exclude these, the size of the terminal fields (medium plus strong) ranges between 2.5 and 8.8 mm 2 , with an average of 4.7 mm 2 . The average size of the surface area of the entire neocortex of one hemisphere was 64 mm 2 . Thus, the neurons from a middle-sized column of about 300 l m in diameter can reach about 7% of the total neocortex by projections of high plus middle strength, and even about 19% if the weak projections are included. If we translate the measurements of Table 1 into degrees of divergence by dividing the area of the terminal fields by the area of the region of uptake, we get an average factor of 73 (with individual values between 45 and 122) for the strong plus middle projections and an average factor of 182 (with individual values between 122 and 298) if we include the weak connections. (The large range in the individual values may be partly due to the fact that the values for the size of the region of uptake are approximations only.) In 2 of the brains (Fig. 5) we quantified the densities of stained fibers in distant projections. The contralateral projection in Figure 5 b was one of the densest projections in our material (see micrograph in Fig. 7), whereas the rostral spot in the ipsilateral hemisphere was one of the weakest (see Fig. 8). We therefore took these 2 spots as instances of an upper and a lower limit. The densities of the 2 projections measured in Figure 5 a were in between. The results are shown in Figure 5 and Table 2. For comparison with other data (see Discussion), we express these densities in fiber length per cubic millimeters. Table 2 shows the raw data. The data in Figure 5 indicate the maximum densities measured in each spot because the maximum value may be relevant for the question of how strongly distant places in the cortex can influence each other functionally. These maximum values range 3 between 4.6 and 21 m/mm . The higher value may be an underestimate by some meters per cubic millimeters because in dense regions some intersections with the test line may escape the observer. Thus, the maximum density in the contralateral spot in Figure 5 b may be rounded up to 25 m/mm 3 . We also counted the number of axons entering a terminal field from below. Assuming that each of these axons comes from a different pyramidal cell, this number is a measure of the number of neurons projecting from the injection site to that terminal field. The results of these counts are also reported in Figures 5 a , b . In Figure 5 b , the number of axons entering a terminal field ranged between 14 for the weak spot to about 890 fibers running toward the dense and middle dense region of the callosal spot. The number for the contralateral spot in Figure 5 a was about 230 and for one of the ipsilateral spots 540. We also made an estimate of the number of neurons that had taken up the tracer in the brains in Figure 5. To a first approximation, one can calculate the number of neurons within the region of uptake. This calculation is made on the basis of the diameter of the region of uptake given in Table 1 and the number of neurons under 1 mm 2 of cortical surface area, which is about 10 5 in the mouse (Rockel and others 1980; ...
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... Figure 3 shows a coronal section close to the site of injection in the right hemisphere. Axon collaterals radiate from the injection site within the gray matter, and distant terminal fields can be seen in the cortex of both hemispheres and in the thalamus. The axons are completely filled up to—and probably also within—their terminal fields. Figures 4 and 5 show patterns of anterograde staining on maps of the flattened cortex as described in Methods. For each animal, both hemispheres are shown. In 6 animals, the injection was administered into the right, and in 2 animals into the left hemisphere. The black regions correspond to the highest density of staining, dense and wide hatching to progressively lower densities. The white spot in each figure shows the location of the injection site. Its size indicates the extent of the region of uptake as defined in Methods. In spite of the large variation in projection patterns, some properties are common to the various injections: a large field of stained fibers around the injection and patches or bands at more distant places, numbering between 1 and 8 in the injected hemisphere. In the large field around the injection site, the overall density of stained fibers decreases toward the periphery, although denser patches sometimes appear within regions of lower density. The core of highest density (black on Figs. 4 and 5) extends about 500 l m (sometimes more) from the injection site and is due to the bulk of axon collaterals of the neurons affected by the injection. The adjacent hatched regions are fed by fibers running horizontally over long distances and by other fibers that take a bow-shaped course through layer VI, some of them scratching the white matter. In distant terminal fields, individual axons can ramify such that they contribute fibers to several spots located closely to each other. This is, for example, the case in the 3 densely hatched lateral spots in the right hemisphere in Figure 5 a . It is, of course desirable to have some idea of the cortical areas involved in Figures 4 and 5. Figure 6 a shows the classical map in which Caviness (1975) has adapted the scheme of Brodmann (1909) to the mouse neocortex. On this map, we have marked the locations of the injection sites of the brains in Figures 4 and 5 (Fig. 6 b ). The localization was made by identifying the cortical areas on the Nissl sections according to the cytoarchitectonic criteria used by Caviness (1975). The shape of the map differs from that of the neocortex in our maps by its larger rostrocaudal extent. This is due to the different treatment of the frontal and occipital pole regions: flattening by distortion in the Caviness map, cutting the tip of the poles, and keeping the rest metrically correct as far as possible in our maps. By means of the landmarks indicated in Figure 6 b , it is possible to localize approximately some of the terminal fields. Some observations shall be mentioned. 1) Although the dark field around the injection site can be restricted to the corresponding cortical area, the large terminal field in continuity with it always extends over adjacent areas. 2) There is a striking similarity in the projection patterns in Figure 4b , c . This is obviously due to the fact that these injections were located in the same cytoarchitectonic area. Both injection sites project to a rostromedial region (area 6/8) and laterally to an elongated field comprising the border between area 35 and the adjacent entorhinal cortex and to a shorter elongated field of higher density, which according to the cytoarchitectonic criteria described by Caviness is at least partly contained in area 14. Both injections are located just caudally to the barrel field. 3) The 3 lateral spots in the right hemisphere in Figure 5 a are located in different areas: areas 40 and 14. 4) No fiber stain could be found in the pyriform cortex, and in the entorhinal cortex fiber stain was restricted to its lateral border (e.g., Fig. 4 b , c ). Fiber stain was occasionally found in area 27, the presubiculum (medially posteriorly in Fig. 4 f ). 5) The small hatched field close to the olfactory tract in the right hemisphere of Figure 5 b is located in the orbital region of the frontal pole (area 11). Measurements on the size of the terminal fields in the injected hemisphere were made on the maps shown in Figures 4 and 5. The field in continuity with the injection site was always larger than the sum of the remaining terminal fields (Table 1). In some cases, nearly all projections merged into one large field (Fig. 4 e and 5 b ). Table 1 shows the results of the measurements (not corrected for shrinkage). In column 1, the sum of the areas of all terminal fields in the injected hemisphere is reported for each of the 8 brains. Columns 2 and 3 show separate values for the areal size of the large terminal field in continuity with the injection site and the sum of the distant terminal fields. Columns 4--6 show separate values for the sums of the strong (i.e., black), middle, and weakly stained regions. The table also shows the approximate diameter of the region of uptake, as well as the cytoarchitectonic area in which the injection site was located. The total area of the terminal fields ranges between about 2 2 7 and 22 mm , with an average of 12 mm . The difference in size can largely be explained by the inevitable variation in the strength of the injections and the corresponding variation in the size of the regions of uptake, with their diameters rang- ing between 200 and 400 l m (200 l m is the diameter of the dendritic extension of a large pyramidal cell in the mouse). 2 The region of uptake ranged between about 0.03 and 0.1 mm in area. As can be seen from Table 1, in all injections the main part of the terminal field consisted of weak projections (widely hatched regions in Figs. 4 and 5). If we exclude these, the size of the terminal fields (medium plus strong) ranges between 2.5 and 8.8 mm 2 , with an average of 4.7 mm 2 . The average size of the surface area of the entire neocortex of one hemisphere was 64 mm 2 . Thus, the neurons from a middle-sized column of about 300 l m in diameter can reach about 7% of the total neocortex by projections of high plus middle strength, and even about 19% if the weak projections are included. If we translate the measurements of Table 1 into degrees of divergence by dividing the area of the terminal fields by the area of the region of uptake, we get an average factor of 73 (with individual values between 45 and 122) for the strong plus middle projections and an average factor of 182 (with individual values between 122 and 298) if we include the weak connections. (The large range in the individual values may be partly due to the fact that the values for the size of the region of uptake are approximations only.) In 2 of the brains (Fig. 5) we quantified the densities of stained fibers in distant projections. The contralateral projection in Figure 5 b was one of the densest projections in our material (see micrograph in Fig. 7), whereas the rostral spot in the ipsilateral hemisphere was one of the weakest (see Fig. 8). We therefore took these 2 spots as instances of an upper and a lower limit. The densities of the 2 projections measured in Figure 5 a were in between. The results are shown in Figure 5 and Table 2. For comparison with other data (see Discussion), we express these densities in fiber length per cubic millimeters. Table 2 shows the raw data. The data in Figure 5 indicate the maximum densities measured in each spot because the maximum value may be relevant for the question of how strongly distant places in the cortex can influence each other functionally. These maximum values range 3 between 4.6 and 21 m/mm . The higher value may be an underestimate by some meters per cubic millimeters because in dense regions some intersections with the test line may escape the observer. Thus, the maximum density in the contralateral spot in Figure 5 b may be rounded up to 25 m/mm 3 . We also counted the number of axons entering a terminal field from below. Assuming that each of these axons comes from a different pyramidal cell, this number is a measure of the number of neurons projecting from the injection site to that terminal field. The results of these counts are also reported in Figures 5 a , b . In Figure 5 b , the number of axons entering a terminal field ranged between 14 for the weak spot to about 890 fibers running toward the dense and middle dense region of the callosal spot. The number for the contralateral spot in Figure 5 a was about 230 and for one of the ipsilateral spots 540. We also made an estimate of the number of neurons that had taken up the tracer in the brains in Figure 5. To a first approximation, one can calculate the number of neurons within the region of uptake. This calculation is made on the basis of the diameter of the region of uptake given in Table 1 and the number of ...
Context 8
... 5. Two further maps, showing terminal fields as in Figure 4, but containing, in addition, measurements of 1) the number of pyramidal cells that have taken up the tracer (long arrows), 2) the number of stained fibers entering some of the terminal fields, and 3) maximum densities of stained fibers in these terminal fields.  ...

Citations

... A principle of neocortical wiring is that there are abundant local connections and sparse long-range connections (see e.g. Batardiere et al. 1998;Barone et al. 2000;Schüz et al. 2006;Stepanyants et al. 2009;Markov et al. 2011Markov et al. , 2013aMarkov and Kennedy 2013;Anderson and Martin 2016;Horvát et al. 2016). From the perspective of wiring cost, if the vast majority of a neuron's postsynaptic partners are in its immediate vicinity, long-distance connections and hence brain volume are significantly reduced and signal transmission distances are optimized. ...
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The cat primary visual cortex (V1) is a cortical area for which we have one of the most detailed estimates of the connection ‘weights’ (expressed as number of synapses) between different neural populations in different layers (Binzegger et al in J Neurosci 24:8441–8453, 2004). Nevertheless, the majority of excitatory input sources to layer 6, the deepest layer in a local translaminar excitatory feedforward loop, was not accounted for by the known neuron types used to generate the quantitative Binzegger diagram. We aimed to fill this gap by using a retrograde tracer that would label neural cell bodies in and outside V1 that directly connect to layer 6 of V1. We found that more than 80% of labeled neurons projecting to layer 6 were within V1 itself. Our data indicate that a substantial fraction of the missing input is provided by a previously unidentified population of layer 3/4 border neurons, laterally distributed and connecting more strongly to layer 6 than the typical superficial layer pyramidal neurons considered by Binzegger et al. (Binzegger et al in J Neurosci 24:8441–8453, 2004). This layer 3/4 to layer 6 connection may be a parallel route to the layer 3 – layer 5 – layer 6 feedforward pathway, be associated with the fast-conducting, movement-related Y pathway and provide convergent input from distant (5–10 degrees) regions of the visual field.
... Superficial white matter (SWM) is the layer of white matter immediately beneath the cortex, and is composed of short-range association U-shaped fibers, or Ufibers, that primarily connect adjacent gyri (Guevara et al., 2020). As summarized in (Kirilina et al., 2020), these connections are unique, as they occupy a majority of the total white matter volume , account for a majority of the connections of the human brain , are among the last parts of the brain to myelinate (Barkovich, 2000;Maricich et al., 2007;Schuz et al., 2006;Wu et al., 2014), and contain a relatively high density of neurons relative to other white matter systems (Suarez-Sola et al., 2009). Further, SWM has been shown to play a critical role in brain function, cognition, and disease (Guevara et al., 2020;Kirilina et al., 2020). ...
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Superficial white matter (SWM) represents a significantly understudied part of the human brain, despite comprising a large portion of brain volume and making up a majority of cortico-cortical white matter connections. Using multiple, high-quality datasets with large sample sizes (N = 2421, age range 5–100) in combination with methodological advances in tractography, we quantified features of SWM volume and thickness across the brain and across development, young adulthood, and aging. We had four primary aims: (1) characterize SWM thickness across brain regions (2) describe associations between SWM volume and age (3) describe associations between SWM thickness and age, and (4) quantify relationships between SWM thickness and cortical features. Our main findings are that (1) SWM thickness varies across the brain, with patterns robust across individuals and across the population at the region-level and vertex-level; (2) SWM volume shows unique volumetric trajectories with age that are distinct from gray matter and other white matter trajectories; (3) SWM thickness shows nonlinear cross-sectional changes across the lifespan that vary across regions; and (4) SWM thickness is associated with features of cortical thickness and curvature. For the first time, we show that SWM volume follows a similar trend as overall white matter volume, peaking at a similar time in adolescence, leveling off throughout adulthood, and decreasing with age thereafter. Notably, the relative fraction of total brain volume of SWM continuously increases with age, and consequently takes up a larger proportion of total white matter volume, unlike the other tissue types that decrease with respect to total brain volume. This study represents the first characterization of SWM features across the large portion of the lifespan and provides the background for characterizing normal aging and insight into the mechanisms associated with SWM development and decline.
... While a number of detailed models have been proposed to learn such representations from natural scene statistics in a sparse coding framework (with varying levels of biological plausibility) [49,73,60], these models of sensory cortices largely ignore the fact that cortical regions are generally connected by very limited fiber projections. Specifically, there are often information bottlenecks where fewer fibers connect cortical areas than the number of neurons encoding the representation in each area [65], meaning that plausible learning algorithms must account for the fact that the sensory data has undergone some type of compression. For example, despite the original formulation of sparse coding for images nominally constituting a model of neural coding in primary visual cortex [49,51], the pathway carrying that information from retina to cortex (via the lateral geniculate nucleus of the thalamus) has already undergone a significant reduction in the number of neurons carrying visual information transduced by the retinal photoreceptors [68]. ...
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Sparse coding is an important method for unsupervised learning of task-independent features in theoretical neuroscience models of neural coding. While a number of algorithms exist to learn these representations from the statistics of a dataset, they largely ignore the information bottlenecks present in fiber pathways connecting cortical areas. For example, the visual pathway has many fewer neurons transmitting visual information to cortex than the number of photoreceptors. Both empirical and analytic results have recently shown that sparse representations can be learned effectively after performing dimensionality reduction with randomized linear operators, producing latent coefficients that preserve information. Unfortunately, current proposals for sparse coding in the compressed space require a centralized compression process (i.e., dense random matrix) that is biologically unrealistic due to local wiring constraints observed in neural circuits. The main contribution of this paper is to leverage recent results on structured random matrices to propose a theoretical neuroscience model of randomized projections for communication between cortical areas that is consistent with the local wiring constraints observed in neuroanatomy. We show analytically and empirically that unsupervised learning of sparse representations can be performed in the compressed space despite significant local wiring constraints in compression matrices of varying forms (corresponding to different local wiring patterns). Our analysis verifies that even with significant local wiring constraints, the learned representations remain qualitatively similar, have similar quantitative performance in both training and generalization error, and are consistent across many measures with measured macaque V1 receptive fields.
... Following the reasoning of (Buzsáki & Wang, 2012), the activity of local neural populations in the brain shows gamma oscillations (30-90 Hz) with cycle duration between 11 ms and 33 ms. Let us consider the axonal lengths (20 mm to 40 mm) between lateral areas of two hemispheres in mice (Schüz et al., 2006). The effective conduction speed should be less than 3.6 m/s (for the extreme with the longest axon (40 mm) and the fastest local activity (11 ms), assuming that the timescales of transmission delays have to be similar to the characteristic timescales of local brain activity. ...
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Resting-state functional networks such as the default mode network (DMN) dominate spontaneous brain dynamics. To date, the mechanisms linking brain structure and brain dynamics and functions in cognition, perception, and action remain unknown, mainly due to the uncontrolled and erratic nature of the resting state. Here we used a stimulation paradigm to probe the brain’s resting behavior, providing insights on state-space stability and multiplicity of network trajectories after stimulation. We performed explorations on a mouse model to map spatiotemporal brain dynamics as a function of the stimulation site. We demonstrated the emergence of known functional networks in brain responses. Several responses heavily relied on the DMN and were suggestive of the DMN playing a mechanistic role between functional networks. We probed the simulated brain responses to the stimulation of regions along the information processing chains of sensory systems from periphery up to primary sensory cortices. Moreover, we compared simulated dynamics against in-vivo brain responses to optogenetic stimulation. Our results underwrite the importance of anatomical connectivity in the functional organization of brain networks and demonstrate how functionally differentiated information processing chains arise from the same system.
... We found that decoding models could be fit using fewer single-units, at no cost to classification accuracy, implying that task-relevant information can be confined to a very small fraction of a neural circuit. This has implications for communication between brain areas: wiring constraints often restrict information transmission through a relatively smaller number of projection neurons, suggesting that these neurons contain the relevant information required to "decode" a given signal [100,101]. These results, in which we identified a very small fraction of the neurons capable of accurate decoding, raise the possibility that these selected neurons are, in fact, the projection neurons. ...
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A central goal of systems neuroscience is to understand the relationships amongst constituent units in neural populations and their modulation by external factors using high-dimensional and stochastic neural recordings. Statistical models, particularly parametric models, play an instrumental role in accomplishing this goal, because their fitted parameters can provide insight into the underlying biological processes that generated the data. However, extracting conclusions from a parametric model requires that it is fit using an inference procedure capable of selecting the correct parameters and properly estimating their values. Traditional approaches to parameter inference have been shown to suffer from failures in both selection and estimation. Recent development of algorithms that ameliorate these deficiencies raises the question of whether past work relying on such inference procedures have produced inaccurate systems neuroscience models, thereby impairing their interpretation. Here, we used the Union of Intersections, a statistical inference framework capable of state-of-the-art selection and estimation performance, to fit functional coupling, encoding, and decoding models across a battery of neural datasets. We found that, compared to baseline procedures, UoI inferred models with increased sparsity, improved stability, and qualitatively different parameter distributions, while maintaining predictive performance across recording modality, brain region, and task. Specifically, we obtained highly sparse functional coupling networks with substantially different community structure, more parsimonious encoding models, and decoding models that rely on fewer single-units. Together, these results demonstrate that accurate parameter inference reshapes interpretation in diverse neuroscience contexts. The ubiquity of model-based data-driven discovery in biology suggests that analogous results would be seen in other fields.
... A study conducted in C57BL/6 mice concluded that slow waves occur regularly during REM sleep especially in primary sensory and motor cortices, and mainly in layer 4 (Funk et al., 2016). A vast majority of cortical projections in carnivores and primates, but not in rodents are patchy, local, and intracortical (Gilbert and Wiesel, 1983;Rockland, 1985;Lund et al., 1993Lund et al., , 1994Schuz et al., 2006;Van Hooser et al., 2006). Such difference in corticocortical circuitry could explain regional differences in the expression of sleep in mice, specifically slow waves which should be expressed more locally throughout the cortex. ...
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Sleep plays a key role in multiple cognitive functions and sleep pattern changes with aging. Human studies revealed that aging decreases sleep efficiency and reduces the total sleep time, the time spent in slow-wave sleep (SWS), and the delta power (1–4 Hz) during sleep; however, some studies of sleep and aging in mice reported opposing results. The aim of our work is to estimate how features of sleep–wake state in mice during aging could correspond to age-dependent changes observed in human. In this study, we investigated the sleep/wake cycle in young (3 months old) and older (12 months old) C57BL/6 mice using local-field potentials (LFPs). We found that older adult mice sleep more than young ones but only during the dark phase of sleep-wake cycle. Sleep fragmentation and sleep during the active phase (dark phase of cycle), homologous to naps, were higher in older mice. Older mice show a higher delta power in frontal cortex, which was accompanied with similar trend for age differences in slow wave density. We also investigated regional specificity of sleep–wake electrographic activities and found that globally posterior regions of the cortex show more rapid eye movement (REM) sleep whereas somatosensory cortex displays more often SWS patterns. Our results indicate that the effects of aging on the sleep–wake activities in mice occur mainly during the dark phase and the electrode location strongly influence the state detection. Despite some differences in sleep–wake cycle during aging between human and mice, some features of mice sleep share similarity with human sleep during aging.
... Following the reasoning of Buzáki and Wang (2012) the local brain activity, that is, 597 of neural populations shows gamma oscillations (30-90 Hz) with cycle durations between 11 598 ms and 33 ms. Considering that the average length of axonal tracts between lateral areas of 599 one isocortex and contralateral isocortical areas in mice ranges between 20 mm and 40 mm 600 (Schüz et al., 2006) and assuming that the time scales of transmission delays have to be 601 similar to the characteristic time scales of local brain activity, result in an effective conduction 602 speed smaller than 3.6 m/s for the extreme, that is, the longest axon (40 mm) and the fastest 603 0.31818 m/s = 3.5 mm / 11 ms). Transmission delays are assumed to hardly affect intrinsic 614 local activity, that is, gamma waves, which are most apparent at a frequency of >40 Hz across 615 the brain. ...
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Sensory and direct stimulation of the brain probes its functional repertoire and the information processing capacity of networks. However, a systematic exploration can only be performed in silico. Stimulation takes the system out of its attractor states and samples the environment of the flow to gain insight into the stability and multiplicity of trajectories. It is the only means of obtaining a complete understanding of the healthy brain network's dynamic properties. We built a whole mouse brain model with connectivity derived from tracer studies. We systematically varied the stimulation location, the ratio of long- to short-range interactions, and the range of short connections. Functional networks appeared in the spatial motifs of simulated brain activity. Several motifs included the default mode network, suggesting a junction of functional networks. The model explains processing in sensory systems and replicates the in vivo dynamics after stimulation without parameter tuning, emphasizing the role of connectivity.
... As expected from its importance as a model animal for neuroscience studies, there have been many efforts to elucidate the cortical connectivities in rodents (e.g., Schüz et al. 2006;Oh et al. 2014;Paxinos 2014;Zingg et al. 2014; Akiya Watakabe and Junya Hirokawa contributed equally to this work. ...
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In primates, proximal cortical areas are interconnected via within-cortex "intrinsic" pathway, whereas distant areas are connected via "extrinsic" white matter pathway. To date, such distinction has not been clearly done for small-brained mammals like rodents. In this study, we systematically analyzed the data of Allen Mouse Brain Connectivity Atlas to answer this question and found that the ipsilateral cortical connections in mice are almost exclusively contained within the gray matter, although we observed exceptions for projections from the retrosplenial area and the medial/orbital frontal areas. By analyzing axonal projections within the gray matter using Cortical Box method, which enabled us to investigate the layer patterns across different cortical areas, we obtained the following results. First, widespread axonal projections were observed in both upper and lower layers in the vicinity of injections, whereas highly specific "point-to-point" projections were observed toward remote areas. Second, such long-range projections were predominantly aligned in the anteromedial-posterolateral direction. Third, in the majority of these projections, the connecting axons traveled through layer 6. Finally, the projections from the primary and higher order areas to distant targets preferentially terminated in the middle and superficial layers, respectively, suggesting hierarchical connections similar to those of primates. Overall, our study demonstrated conspicuous differences in gray/white matter segregation of axonal projections between rodents and primates, despite certain similarities in the hierarchical cortical organization.
... As expected from its importance as a model animal for neuroscience studies, there have been many efforts to elucidate the cortical connectivities in rodents (e.g., Schüz et al. 2006;Oh et al. 2014;Paxinos 2014;Zingg et al. 2014; Akiya Watakabe and Junya Hirokawa contributed equally to this work. ...
Preprint
In primates, proximal cortical areas are interconnected via within-cortex “intrinsic” pathway, whereas distant areas are connected via “extrinsic” white matter pathway. It is not well known how cortical areas are interconnected in small-brained mammals like rodents. In this study, we systematically analyzed the data of Allen Mouse Brain Connectivity Atlas to answer this question and found that the ipsilateral cortical connections in mice are almost exclusively contained within the grey matter with the exception of the retrosplenial area. We analyzed the layer-specific distribution of axonal projections within the grey matter using Cortical Box method and obtained the following results. First, widespread axonal projections were observed in both upper and lower layers in the vicinity of injections, whereas highly specific “point-to-point” projections were observed toward remote areas. Second, such long-range projections were predominantly aligned in the anteromedial-posterolateral direction. Third, in majority of these projections, the connecting axons traveled through layer 6. Finally, the projections from the primary and higher order areas to distant targets preferentially terminated in the middle and superficial layers, respectively, suggesting hierarchical connections similar to those of primates. Overall, our study suggests the conserved nature of neocortical organization across species despite conspicuous differences in wiring strategy.
... Following the reasoning of (Buzsáki & Wang, 2012), the activity of local neural populations in the brain shows gamma oscillations (30-90 Hz) with cycle duration between 11 ms and 33 ms. Let us consider the axonal lengths (20 mm to 40 mm) between lateral areas of two hemispheres in mice (Schüz et al., 2006). The effective conduction speed should be less than 3.6 m/s (for the extreme with the longest axon (40 mm) and the fastest local activity (11 ms), assuming that the timescales of transmission delays have to be similar to the characteristic timescales of local brain activity. ...