ArticlePDF Available

Specific cerebellar and cortical degeneration correlates with ataxia severity in spinocerebellar ataxia type 7

Authors:

Abstract and Figures

Spinocerebellar ataxia type 7 (SCA7) is a progressive neurodegenerative disorder that is accompanied by loss of motor control and macular degeneration. Previous studies have shown cerebellar and pons atrophy as well as functional connectivity changes across the whole brain. Although different MRI modalities have been used to study the degenerative process, little is known about the relationship between the motor symptoms and cerebral atrophy. Twenty-four patients with molecular diagnosis of SCA7 where invited to participate in this study. Ataxia severity was evaluated using the scale for the assessment and rating of ataxia (SARA). Structural magnetic resonance imaging (MRI) brain images were used to obtain the grey matter volume of each participant. As expected, we found a significant negative correlation between the SARA score and the grey matter volume in distinct regions of the cerebellum in the patient group. Additionally, we found significant correlations between the ataxia degree and the degeneration of specific cortical areas in these patients. These findings provide a better understanding of the relationship between gray matter atrophy and ataxia related symptoms that result from the SCA7 mutation.
Content may be subject to copyright.
BRIEF COMMUNICATION
Specific cerebellar and cortical degeneration correlates
with ataxia severity in spinocerebellar ataxia type 7
Carlos R. Hernandez-Castillo
1
&Victor Galvez
2
&Rosalinda Diaz
3
&
Juan Fernandez-Ruiz
2,3
#Springer Science+Business Media New York 2015
Abstract Spinocerebellar ataxia type 7 (SCA7) is a progres-
sive neurodegenerative disorder that is accompanied by loss
of motor control and macular degeneration. Previous studies
have shown cerebellar and pons atrophy as well as functional
connectivity changes across the whole brain. Although differ-
ent MRI modalities have been used to study the degenerative
process, little is known about the relationship between the
motor symptoms and cerebral atrophy. Twenty-four patients
with molecular diagnosis of SCA7 where invited to participate
in this study. Ataxia severity was evaluated using the scale for
the assessment and rating of ataxia (SARA). Structural mag-
netic resonance imaging (MRI) brain images were used to
obtain the grey matter volume of each participant. As expect-
ed, we found a significant negative correlation between the
SARA score and the grey matter volume in distinct regions of
the cerebellum in the patient group. Additionally, we found
significant correlations between the ataxia degree and the de-
generation of specific cortical areas in these patients. These
findings provide a better understanding of the relationship
between gray matter atrophy and ataxia related symptoms that
result from the SCA7 mutation.
Keywords Spinocerebellar ataxia .Motor impairment .
VBM .Cerebellum .Precentral gyrus
Background
Spinocerebellar ataxia 7 (SCA7) is a neurodegenerative
disorder caused by the abnormal expansion of the
cytosine-adenine-guanine (CAG) trinucleotide encoding
the protein ataxin7 (Garden and La Spada 2008). SCA7
is characterized by a combination of cerebellar ataxia and
macular degeneration that causes permanent blindness
(Michalik et al. 2004; Miller et al. 2009). Furthermore,
patients may eventually develop other neurological defi-
cits, including loss of manual dexterity, speech dysar-
thria, dysphagia and eye movement abnormalities
(Hugosson et al. 2009). Brain atrophy associated with
SCA7 has been documented in different neuropathologi-
cal studies using both postmortem and imaging tech-
niques. These techniques have identified severe neuronal
loss in a broad range of cerebellar and cerebral regions,
including the cerebellar cortex, the inferior olivary com-
plex tracts, the subthalamic nucleus, the pallidum, and
the substantia nigra. SCA7 is also associated with degen-
eration of cortical regions such as the pre/postcentral
gyri, cuneus, precuneus, inferior occipital gyrus, insula,
and inferior frontal gyrus (Alcauter et al. 2011;Bang
et al. 2004; Döhlinger et al. 2008; Hernandez-Castillo
et al. 2013; Masciullo et al. 2007). Resting state func-
tional magnetic resonance imaging (fMRI) techniques
have been used to analyze the effect of SCA7 related
degeneration on functional connectivity patterns, finding
synchrony changes between degenerated and non-
degenerated areas across the brain (Hernandez-Castillo
et al. 2013,2014). However, there is a lack of
Electronic supplementary material The online version of this article
(doi:10.1007/s11682-015-9389-1) contains supplementary material,
which is available to authorized users.
*Juan Fernandez-Ruiz
jfr@unam.mx
1
Consejo Nacional de Ciencia y Tecnología Cátedras - Instituto de
Neuroetologia, Universidad Veracruzana, Xalapa, México
2
Instituto de Neuroetologia, Universidad Veracruzana,
Xalapa, México
3
Departamento de Fisiología, Facultad de Medicina, Universidad
Nacional Autónoma de México, Distrito Federal, México
Brain Imaging and Behavior
DOI 10.1007/s11682-015-9389-1
information regarding the relationship between brain at-
rophy and the motor impairments in SCA7. Therefore,
we correlated gray matter volume in specific brain areas
targeted by SCA7 pathology with measures of ataxia
severity using the scale for the assessment and rating of
ataxia (SARA) in a large set of people with SCA7.
Methods
Participants
Twenty-four patients with a molecular diagnosis of SCA7 and
a CAG expansion higher than 40 participated in this study (11
female; right-handed; mean age/SD, 39.4/14.7 years). Motor
impairment was measured using the Scale for the assessment
and rating of ataxia (SARA) (Schmitz-Hübsch et al. 2006).
The SARA has eight items, including tests of gait, stance,
sitting, and speech, as well as the finger-chase test, finger-
nose test, fast alternating movements, and heel-shin test. The
control group consisted of 24 healthy volunteers that were
matched for age and sex to the SCA7 group (Further
demographic information of the two groups can be found
in supplementary Table 1). The procedures carried out were
in accordance with the ethical standards of the committees
on human experimentation of the Universidad Nacional
Autonoma de Mexico.
Image acquisition
All images were acquired using a 3.0-T Achieva MRI scanner
(Phillips Medical Systems, Eindhoven, The Netherlands) at
the Instituto Nacional de Psiquiatria BRamon de la Fuente
Muñiz^in Mexico City. The high-resolution anatomical ac-
quisition consisted of a 3-D T1 Fast Field-Echo sequence,
with TR/TE of 8/3.7 ms, FOVof 256×256 mm, and an acqui-
sition and reconstruction matrix of 256×256, resulting in an
isometric resolution of 1×1 mm.
Voxel-based morphometry
Gray matter volume measurements were performed using
voxel based morphometry (VBM) (Ashburner and Friston
2000) implemented on FSL (Smith et al. 2004). First, voxels
that did not represent cerebral tissue were excluded. Then,
tissues were segmented into grey matter, white matter, and
cerebrospinal fluid. The images corresponding to the gray
matter were aligned to Neurological Institute of Montreal
MNI152 standard space by means of a nonlinear co-registra-
tion. The average of these co-registered images was obtained
to generate a specific standard for this study. The individual
gray matter images were co-registered to this specific standard
space through a non-linear co-registration, and local changes
in expansion or contraction were corrected through a process
known as modulation (Good et al. 2002). Smoothing was
applied with a Gaussian isotropic kernel with a sigma of
2 mm. Using the FSL randomise tool, (Winkler et al. 2014)
atwo-samplettest was performed between the SCA7 group
and controls . Significance was defined as p<0.05 after
correcting for multiple comparisons using the randomized per-
mutation method (Hayasaka and Nichols 2004). For the SCA7
group, whole-brain correlation maps were created by calculat-
ing the Pearsons partial correlation between the gray matter
volume (GMV) and SARA scores. Since prior studies using
imaging measures have described age-associated changes
across the cerebral cortex (Raz 1997; Salat et al. 2004), we
included the age data in the partial correlation. The standard-
ized SCA7 GMV images were loaded in MATLAB 2014a
(The Mathworks, Inc., Natick, MA) and a voxelwise partial
correlation were calculated using in-house functions. Partial
correlation maps were corrected for multiple comparisons by
using the false discovery rate (FDR) with a pvalue< 0.05. For
every significant cluster in the final map, GMV values were
extracted for each participant using a Bsphere^of 15 voxels
centered in the peak correlation voxel.
Results
The VBM analysis showed extensive regions of decreased
brain volumein patients with SCA7 in comparison to controls,
involving both neocortical and allocortical regions. As previ-
ously reported, the right anterior cerebellum showed the
greatest amount of atrophy, followed by the left posterior cer-
ebellum. Other regions showing gray matter decreases in the
SCA7 group compared to controls were the cuneus,
precuneus, pre/post central gyri, inferior frontal gyrus, and
temporal regions (Fig. 1a).
Significant negative correlations were found between
GMV and SARA scores in the SCA7 group (Table 1and
Fig. 1b). These regions include the bilateral anterior and pos-
terior cerebellum, the left parahippocampal gyrus, bilateral
precentral gyri, bilateral cingulate gyri, bilateral insula, and
bilateral inferior frontal gyri. Scatter plots of the significant
correlations are shown in the supplementary Fig. 1.
Discussion
In this study we analyzed the relationship between gray matter
loss and SARA scores in people with SCA7. As expected,
significant negative correlations between SARA scores and
GMV were found in the cerebellum and precentral gyri, but
also in the parahippocampal, cingulate, insular and inferior
frontal cortices.
Brain Imaging and Behavior
The cerebellum, which is fundamental for movement and
balance (Middleton and Strick 1998), is the most structurally
affected region in SCA7 (Alcauter et al. 2011; Horton et al.
2013). Different studies have shown motor deficits after dam-
age to the cerebellum (Schmahmann 2014). A number of
SCAs studies including SCA1 and SCA7 have reported that
the extent of cerebellar neurodegeneration correlates with a
variety of clinical motor features, like ataxia scores and extra-
pyramidal signs (Goel et al. 2011; Lasek et al. 2006; Reetz
et al. 2011). Our results show a significant correlation between
ataxia severity and decreased GMV in the anterior and poste-
rior cerebellar hemispheres, bilaterally. Previous studies have
measure the amount of cerebellar atrophy in SCA7 (Alcauter
et al. 2011;Hernandez-Castilloetal.2013), but our results
show for the first time the close relationship between cerebel-
lar volume and the motor impairment in people with SCA7.
A number of cortical areas where GMV correlated with the
SARA score could reflect the motor deficits in gait and gen-
eral movement in people with SCA7 (Martin 2012). As ex-
pected, based on previous volumetric studies, volume of the
precentral gyrus showed significant correlation with higher
SARA scores in the SCA7 group. Another region where
GMV correlated with SARA scores was the anterior cingulate
cortex. This region has been related to emotional self-control,
Fig. 1 Comparison of brain
regions showing gray matter
atrophy and SARA-GMV
correlation. aSignificant gray
matter atrophy in patients
compared with controls; b
significant partial correlations
between patientsGMV and
SARA controlling for age. Warm
colors indicate for a)thetvalue
and b) the Pearsonspartial
correlation coefficient pr value.
Parametric maps corrected at
p<0.05 (see Methods)
Tab l e 1 Significant correlations between gray matter volume and
SARA score
Anatomical region X Y Z pr BA
Right anterior cerebellum culmen 22 62 22 0.817
Left parahippocampal gyrus 24 56 40.805 19
Left precentral gyrus 46 4320.799 6
Right cingulate gyrus 4 20 40 0.793 32
Right insula 36 18 8 0.773 13
Right precentral gyrus 32 12 52 0.761 4
Left anterior cerebellum culmen 30 52 18 0.759
Right precentral gyrus 60 12 4 0.742 44
Right posterior cerebellum tonsil 24 52 46 0.740
Right inferior frontal gyrus 38 30 14 0.725 47
Left cingulate gyrus 14 34 38 0.724
Right inferior frontal gyrus 54 10 26 0.723 9
Left insula 32 8 12 0.696 13
Left posterior cerebellum semi-lunar 30 68 44 0.640
Coordinates for peak correlations in MNI space in mm. Anatomical
regions and BA were obtained using Talairach daemon
BA Brodmann Area
p<0.05 FDR corrected
Brain Imaging and Behavior
focused problem solving, error recognition, and adaptive re-
sponse to changing conditions, and is also known to have
numerous projections to motor systems (Allman et al. 2006).
The motor areas of the cingulate cortex have connections not
only to the spinal cord and red nucleus, but also to the primary
motor cortex and the supplementary motor area (Devinsky
et al. 1995). Patients with lesions in this area often show def-
icits in spontaneous initiation of movement and speech, as
well as inability to suppress externally triggered motor sub-
routines (Paus et al. 2001). Like the cingulate and primary
motor cortices, insula GMV also correlated with SARA
scores. Structurally, the anterior insular cortex is connected
with limbic and paralimbic regions including the anterior cin-
gulate area and anterior inferior frontal cortex, whereas the
posterior insula cortex is more densely connected with poste-
rior temporal, parietal, and frontal areas including somatosen-
sory, motor, and premotor cortices (Cerliani et al. 2012;Jakab
et al. 2012). Moreover, the insula also supports pre-
articulatory functions of speech motor control such as the
Bprogramming^of vocal tract gestures (Ackermann and
Riecker 2004). Another region where GMV correlates with
SARA scores was the inferior frontal cortex. This area con-
tributes to different cognitive processes including decision
making, response inhibition, stimulus-based switching of at-
tention (Freedman 1998;Szatkowskaetal.2007), as well as
performance on go/no go tasks (Aron et al. 2003). Aside from
response inhibition (Swick et al. 2008), the left inferior frontal
gyrus is extremely important for language production and
verb comprehension (Costafreda et al. 2006). Overall, loss
of gray matter volume in these areas probably represents an
advanced stage of the neurodegenerative process, the clinical
consequences of which are gait, speech, and coordination def-
icits that worsen with disease progression.
The significant correlation between SARA scores and
GMV found in the left parahippocampal gyrus was unexpect-
ed. This area has been associated with many cognitive pro-
cesses, including visuospatial processing and episodic mem-
ory (Aminoff et al. 2013). For example, the parahippocampal
gyrus is involved in the visuospatial storage of stimulus rep-
resentations across long delays (Maguire et al. 2003)andin
the production of allocentric sense of position. Lesions in this
region can lead to topographical disorientation (Aguirre et al.
1996; Bohbot et al. 1998). Taking into account that the
parahippocampal area is affected in different subtypes of
SCAs such SCA2, SCA6, SCA7 (Hernandez-Castillo et al.
2013;Ishikawaetal.1999;Mercadilloetal.2014) and that
it has been related to the progression of motor symptoms in
SCA17 (Reetz et al. 2010), we believe that its possible in-
volvement in the ataxia severity should be explored further.
Finally, it is important to note that significant decreases in
GMV in the SCA7 group compared to controls were found in
other brain regions including the occipital, parietal and tem-
poral cortices (Fig. 1a). However, in those cases GMV loss did
not correlate with SARA scores (Fig. 1b), suggesting that not
all the areas that degenerate during the SCA7 course are relat-
ed to ataxia severity.
Conclusion
Our results show specific brain regions where GMV correlates
with the severity of ataxia in SCA7. All of these regions, with
the exception of the parahippocampal cortex, are closely re-
lated to movement coordination and speech deficits that pa-
tients with SCA7 usually develop. Our results provide novel
and relevant information for the understanding of SCA7.
Acknowledgments This study was supported in part by: Universidad
Nacional Autonoma de Mexico (PAPIIT IN221413) and Consejo
Nacional de Ciencia y Tecnologia (220871) grants to Juan Fernandez
Ruiz, as well as the National Ataxia Foundation (USA) grant to Carlos
R. Hernandez-Castillo.
Conflict of Interest Carlos R. Hernandez-Castillo, Victor Galvez,
Rosalinda Diaz, and Juan Fernandez-Ruiz declare that they have no con-
flicts of interest.
Informed consent All procedures followed were in accordance with
the ethical standards of the responsible committee on human experimen-
tation (institutional and national) and with the Helsinki Declaration of
1975, and the applicable revisions at the time of the investigation.
Informed consent was obtained from all patients for being included in
the study.
References
Ackermann, H., & Riecker, A. (2004). The contribution of the insula to
motor aspects of speech production: a review and a hypothesis.
Brain and Language, 89(2), 320328. doi:10.1016/S0093-
934X(03)00347-X.
Aguirre, G. K., Detre, J. A., Alsop, D. C., & DEsposito, M. (1996). The
parahippocampus subserves topographical learning in man.
Cerebral Cortex, 6(6), 823829. doi:10.1093/cercor/6.6.823.
Alcauter, S., Barrios, F. A., Díaz, R., & Fernández-Ruiz, J. (2011). Gray
and white matter alterations in spinocerebellar ataxia type 7: an
in vivo DTI and VBM study. NeuroImage, 55(1), 17. doi:10.
1016/j.neuroimage.2010.12.014.
Allman, J. M., Hakeem, A., Erwin, J. M., Nimchinsky, E., & Hof, P.
(2006). The anterior cingulate cortex. Annals of the New York
Academy of Sciences, 935(1), 107117. doi:10.1111/j.1749-6632.
2001.tb03476.x.
Aminoff, E. M., Kveraga, K., & Bar, M. (2013). The role of the
parahippocampal cortex in cognition. Trends in Cognitive
Sciences, 17(8), 379390. doi:10.1016/j.tics.2013.06.009.
Aron, A. R., Fletcher, P. C., Bullmore, E. T., Sahakian, B. J., & Robbins,
T. W. (2003). Stop-signal inhibition disrupted by damage to right
inferior frontal gyrus in humans. Nature Neuroscience, 6(2), 115
116. doi:10.1038/nn1003.
Ashburner, J., & Friston, K. J. (2000). Voxel-based morphometrythe
methods. NeuroImage, 11(6 Pt 1), 805821. doi:10.1006/nimg.
2000.0582.
Brain Imaging and Behavior
Bang, O. Y., Lee, P. H., Kim, S.Y., Kim, H. J., & Huh, K. (2004). Pontine
atrophy precedes cerebellar degeneration in spinocerebellar ataxia 7:
MRI-based volumetric analysis. Journal of Neurology,
Neurosurgery, and Psychiatry, 75(10), 14521456. doi:10.1136/
jnnp.2003.029819.
Bohbot, V. D., Kalina, M., Stepankova, K., Spackova, N., Petrides, M., &
Nadel, L. (1998). Spatial memory deficits in patients with lesions to
the right hippocampus and to the right parahippocampal cortex.
Neuropsychologia, 36(11), 12171238. doi:10.1016/S0028-
3932(97)00161-9.
Cerliani, L., Thomas, R. M., Jbabdi, S., Siero, J. C. W., Nanetti, L.,
Crippa, A., & Keysers, C. (2012). Probabilistic tractography re-
covers a rostrocaudal trajectory of connectivity variability in the
human insular cortex. Human Brain Mapping, 33(9), 20052034.
doi:10.1002/hbm.21338.
Costafreda, S. G., Fu, C. H. Y., Lee, L., Everitt, B., Brammer, M. J., &
David, A. S. (2006). A systematic review and quantitative appraisal
of fMRI studies of verbal fluency: role of the left inferior frontal
gyrus. Human Brain Mapping, 27(10), 799810. doi:10.1002/hbm.
20221.
Devinsky, O., Morrell, M. J., & Vogt, B. A. (1995). Review article. Brain,
118 (1), 279306. doi:10.1093/brain/118.1.279.
Döhlinger, S., Hauser, T.-K., Borkert, J., Luft, A. R., & Schulz, J. B.
(2008). Magnetic resonance imaging in spinocerebellar ataxias.
Cerebellum (London, England), 7(2), 204214. doi:10.1007/
s12311-008-0025-0.
Freedman, M. (1998). Orbitofrontal function, object alternation and per-
severation. Cerebral Cortex, 8(1), 1827. doi:10.1093/cercor/8.1.
18.
Garden, G. A., & La Spada, A. R. (2008). Molecular pathogenesis and
cellular pathology of spinocerebellar ataxia type 7 neurodegenera-
tion. Cerebellum (London, England), 7(2), 138149. doi:10.1007/
s12311-008-0027-y.
Goel, G., Pal, P. K., Ravishankar, S., Venkatasubramanian, G.,
Jayakumar, P. N., Krishna, N., & Jain, S. (2011). Gray matter vol-
ume deficits in spinocerebellar ataxia: an optimized voxel based
morphometric study. Parkinsonism & Related Disorders, 17(7),
521527. doi:10.1016/j.parkreldis.2011.04.008.
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K.
J., & Frackowiak, R. S. J. (2002). A voxel-based morphometric
study of ageing in 465 normal adult human brains. In 5th IEEE
EMBS International Summer School on Biomedical Imaging,
2002. (p. II_5_1II_5_16). IEEE. 10.1109/SSBI.2002.1233974.
Hayasaka, S., & Nichols, T. E. (2004). Combining voxel intensity and
cluster extent with permutation test framework. NeuroImage, 23(1),
5463. doi:10.1016/j.neuroimage.2004.04.035.
Hernandez-Castillo, C. R., Alcauter, S., Galvez, V., Barrios, F. A., Yescas,
P., Ochoa, A., & Fernandez-Ruiz, J. (2013). Disruption of visual and
motor connectivity in spinocerebellar ataxia type 7. Movement
Disorders, 28(12), 17081716. doi:10.1002/mds.25618.
Hernandez-Castillo, C. R., Galvez, V., Morgado-Valle, C., & Fernandez-
Ruiz, J. (2014). Whole-brain connectivity analysis and classification
of spinocerebellar ataxia type 7 by functional MRI. Cerebellum &
Ataxias, 1(1), 2. doi:10.1186/2053-8871-1-2.
Horton, L. C., Frosch, M. P., Vangel, M. G., Weigel-DiFranco, C.,
Berson, E. L., & Schmahmann, J. D. (2013). Spinocerebellar ataxia
type 7: clinical course, phenotype-genotype correlations, and neuro-
pathology. Cerebellum (London, England), 12(2), 176193. doi:10.
1007/s12311-012-0412-4.
Hugosson, T., Gränse, L., Ponjavic, V., & Andréasson, S. (2009).
Macular dysfunction and morphology in spinocerebellar ataxia type
7(SCA7).Ophthalmic Genetics, 30(1), 16. doi:10.1080/
13816810802454081.
Ishikawa, K., Watanabe, M., Yoshizawa, K., Fujita, T., Iwamoto, H.,
Yoshizawa, T., & Mizusawa,H. (1999). Clinical, neuropathological,
and molecular study in two families with spinocerebellar ataxia type
6(SCA6).Journal of Neurology, Neurosurgery & Psychiatry, 67(1),
8689. doi:10.1136/jnnp.67.1.86.
Jakab, A., Molnár, P. P., Bogner, P., Béres, M., & Berényi, E. L. (2012).
Connectivity-based parcellation reveals interhemispheric differ-
ences in the insula. Brain Topography, 25(3), 264271. doi:10.
1007/s10548-011-0205-y.
Lasek, K., Lencer, R., Gaser, C., Hagenah, J., Walter, U., Wolters, A., &
Binkofski, F. (2006). Morphological basis for the spectrum of clin-
ical deficits in spinocerebellar ataxia 17 (SCA17). Brain: A Journal
of Neurology, 129(Pt 9), 23412352. doi:10.1093/brain/awl148.
Maguire, E. A., Valentine, E. R., Wilding, J. M., & Kapur, N. (2003).
Routes to remembering: the brains behind superior memory. Nature
Neuroscience, 6(1), 9095. doi:10.1038/nn988.
Martin, J.-J. (2012). Spinocerebellar ataxia type 7. Handbook of Clinical
Neurology, 103,475491. doi:10.1016/B978-0-444-51892-7.
00030-9.
Masciullo, M., Modoni, A., Pomponi, M. G., Tartaglione, T., Falsini, B.,
Tonali, P., & Silvestri, G. (2007). Evidence of white matter involve-
ment in SCA 7. Journal of Neurology, 254(4), 536538. doi:10.
1007/s00415-006-0274-0.
Mercadillo, R. E., Galvez, V., Díaz, R., Hernández-Castillo, C. R.,
Campos-Romo, A., Boll, M.-C., & Fernandez-Ruiz, J. (2014).
Parahippocampal gray matter alterations in Spinocerebellar Ataxia
Type 2 identified by voxel based morphometry. Journal of the
Neurological Sciences, 347(1-2), 5058. doi:10.1016/j.jns.2014.
09.018.
Michalik, A., Martin, J.-J., & Van Broeckhoven, C. (2004).
Spinocerebellar ataxia type 7 associated with pigmentary retinal
dystrophy. European Journal of Human Genetics, 12(1), 215.
doi:10.1038/sj.ejhg.5201108.
Middleton, F. A., & Strick, P. L. (1998). The cerebellum: an overview.
Trends in Cognitive Sciences, 2(9), 305306.
Miller, R. C., Tewari, A., Miller, J. A., Garbern, J., & Van Stavern, G. P.
(2009). Neuro-ophthalmologic features of spinocerebellar ataxia
type 7. Journal of Neuro-Ophthalmology, 29(3), 180186.
Paus, T., et al. (2001). Primate anterior cingulate cortex: where motor
control, drive and cognition interface. Nature Reviews
Neuroscience, 2(6), 417424.
Raz, N. (1997). Selective aging of the human cerebral cortex observed
in vivo: differential vulnerability of the prefrontal gray matter.
Cerebral Cortex, 7(3), 268282. doi:10.1093/cercor/7.3.268.
Reetz, K., Lencer, R., Hagenah, J. M., Gaser, C., Tadic, V., Walter, U., &
Binkofski, F. (2010). Structural changes associated with progression
of motor deficits in spinocerebellar ataxia 17. Cerebellum (London,
England), 9(2), 210217. doi:10.1007/s12311-009-0150-4.
Reetz, K., Kleiman, A., Klein, C., Lencer, R., Zuehlke, C., Brockmann,
K., & Binkofski, F. (2011). CAG repeats determine brain atrophy in
spinocerebellar ataxia 17: a VBM study. PLoS One, 6(1), e15125.
doi:10.1371/journal.pone.0015125.
Salat, D. H., Buckner, R. L., Snyder, A. Z., Greve, D. N., Desikan, R. S.
R., Busa, E., & Fischl, B. (2004). Thinning of the cerebral cortex in
aging. Cerebral Cortex, 14(7), 721730. doi:10.1093/cercor/bhh032.
Schmahmann, J. D. (2014). Disorders of the cerebellum: ataxia,
dysmetria of thought, and the cerebellar cognitive affective syn-
drome. The Journal of Neuropsychiatry and Clinical
Neurosciences. Retrieved from http://neuro.psychiatryonline.org/
doi/abs/10.1176/jnp.16.3.367.
Schmitz-Hübsch, T., du Montcel, S. T., Baliko, L., Berciano, J., Boesch,
S., Depondt, C., & Fancellu, R. (2006). Scale for theassessment and
rating of ataxia: development of a new clinical scale. Neurology,
66(11), 17171720. doi:10.1212/01.wnl.0000219042.60538.92.
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F.,
Behrens, T. E. J., Johansen-Berg, H., & Matthews, P. M. (2004).
Advances in functional and structural MR image analysis and im-
plementation as FSL. NeuroImage, 23(Suppl 1), S208S219. doi:
10.1016/j.neuroimage.2004.07.051.
Brain Imaging and Behavior
Swick, D., Ashley, V., & Turken, A. U. (2008). Left inferior frontal gyrus
is critical for response inhibition. BMC Neuroscience, 9(1), 102. doi:
10.1186/1471-2202-9-102.
Szatkowska, I., Szymańska, O., Bojarski, P., & Grabowska, A. (2007).
Cognitive inhibition in patients with medial orbitofrontal damage.
Experimental Brain Research, 181(1), 109115. doi:10.1007/
s00221-007-0906-3.
Winkler,A.M.,Ridgway,G.R.,Webster,M.A.,Smith,S.M.,&Nichols,
T. E. (2014). Permutation inference for the general linear model.
NeuroImage, 92, 381397. doi:10.1016/j.neuroimage.2014.01.060.
Brain Imaging and Behavior
... VBM, which measures differences in relative brain volume on a voxelwise basis 12 , has detected gray matter (GM) atrophy not only in the cerebellum, but also in many cortical areas including the sensorimotor cortices, motor association areas, cuneus, precuneus, insula, inferior frontal gyrus, medial frontal gyrus, inferior parietal lobule, and temporal regions. [13][14][15][16][17] . DTI, which is typically used to assess WM microstructural integrity via measures of water diffusivity 18,19 , has detected microstructural abnormalities in the cerebellar WM, cerebellar peduncles, brainstem, cerebral peduncles, and several cerebral WM tracts including the internal and external capsules, corona radiata, optical radiation, corpus callosum, and miscellaneous temporal, occipital, parietal, and frontal WM in patients 13,20 . ...
... Other studies employing VBM to study SCA7 have reported volume loss in even more cortical regions 13,[15][16][17] . However, it is worth noting that three of these studies had a sample size of 20 or more patients [15][16][17] . ...
... Other studies employing VBM to study SCA7 have reported volume loss in even more cortical regions 13,[15][16][17] . However, it is worth noting that three of these studies had a sample size of 20 or more patients [15][16][17] . ...
Article
Full-text available
Spinocerebellar Ataxia type 7 (SCA7) is a neurodegenerative disease characterized by progressive cerebellar ataxia and retinal degeneration. Increasing loss of visual function complicates the use of clinical scales to track the progression of motor symptoms, hampering our ability to develop accurate biomarkers of disease progression, and thus test the efficacy of potential treatments. We aimed to identify imaging measures of neurodegeneration, which may more accurately reflect SCA7 severity and progression. While common structural MRI techniques have been previously used for this purpose, they can be biased by neurodegeneration-driven increases in extracellular CSF-like water. In a cross-sectional study, we analyzed diffusion tensor imaging (DTI) data collected from a cohort of 13 SCA7 patients and 14 healthy volunteers using: 1) a diffusion tensor-based image registration technique, and 2) a dual-compartment DTI model to control for the potential increase in extracellular CSF-like water. These methodologies allowed us to assess both volumetric and microstructural abnormalities in both white and gray matter brain-wide in SCA7 patients for the first time. To measure tissue volume, we performed diffusion tensor-based morphometry (DTBM) using the tensor-based registration. To assess tissue microstructure, we computed the parenchymal mean diffusivity (pMD) and parenchymal fractional anisotropy (pFA) using the dual compartment model. This model also enabled us to estimate the parenchymal volume fraction (pVF), a measure of parenchymal tissue volume within a given voxel. While DTBM and pVF revealed tissue loss primarily in the brainstem, cerebellum, thalamus, and major motor white matter tracts in patients (p < 0.05, FWE corrected; Hedge’s g > 1), pMD and pFA detected microstructural abnormalities in virtually all tissues brain-wide (p < 0.05, FWE corrected; Hedge’s g > 1). The Scale for the Assessment and Rating of Ataxia trended towards correlation with cerebellar pVF (r = -0.66, p = 0.104, FDR corrected) and global white matter pFA (r = -0.64, p = 0.104, FDR corrected). These results advance our understanding of neurodegeneration in living SCA7 patients by providing the first voxel-wise characterization of white matter volume loss and gray matter microstructural abnormalities. Moving forward, this comprehensive approach could be applied to characterize the full spatiotemporal pattern of neurodegeneration in SCA7, and potentially develop an accurate imaging biomarker of disease progression.
... VBM, which measures differences in relative brain volume on a voxelwise basis 12 , has detected gray matter (GM) atrophy not only in the cerebellum, but also in many cortical areas including the sensorimotor cortices, motor association areas, cuneus, precuneus, insula, inferior frontal gyrus, medial frontal gyrus, inferior parietal lobule, and temporal regions. [13][14][15][16] . DTI, which is typically used to assess WM microstructural integrity via measures of water diffusivity 17, 18 , has detected microstructural abnormalities in the cerebellar WM, cerebellar peduncles, brainstem, cerebral peduncles, and several cerebral WM tracts including the internal and external capsules, corona radiata, optical radiation, corpus callosum, and miscellaneous temporal, occipital, parietal, and frontal WM in patients 13,19 . ...
... Other studies employing VBM to study SCA7 have reported volume loss in even more cortical regions 13,15,16 . However, it is worth noting that two of these studies had a much greater sample size of patients (24+) 15,16 . ...
... Other studies employing VBM to study SCA7 have reported volume loss in even more cortical regions 13,15,16 . However, it is worth noting that two of these studies had a much greater sample size of patients (24+) 15,16 . ...
Preprint
Full-text available
Spinocerebellar Ataxia type 7 (SCA7) is a neurodegenerative disease characterized by progressive cerebellar ataxia and retinal degeneration. Increasing loss of visual function complicates the use of clinical scales to track the progression of motor symptoms, hampering our ability to develop accurate biomarkers of disease progression, and thus test the efficacy of potential treatments. In this cross-sectional study, we aimed to identify imaging measures of neurodegeneration, which may more accurately reflect SCA7 severity and progression. We analyzed diffusion tensor imaging (DTI) data collected from a cohort of 13 SCA7 patients and 14 healthy volunteers using two recent methodological advances: 1) a diffusion tensor-based image registration technique, and 2) a dual-compartment DTI model to control for the potential increase in extracellular CSF-like water due to neurodegeneration. These methodologies allowed us to assess both volumetric and microstructural abnormalities in both white and gray matter brain-wide in SCA7 patients for the first time. To measure tissue volume, we performed diffusion tensor-based morphometry (DTBM) using the tensor-based registration. To assess tissue microstructure, we computed the parenchymal mean diffusivity (pMD) and parenchymal fractional anisotropy (pFA) using the dual compartment model. This model also enabled us to estimate the parenchymal volume fraction (pVF), a measure of parenchymal tissue volume within a given voxel. While DTBM and pVF revealed tissue loss primarily in the brainstem, cerebellum, thalamus, and a subset of cerebral white matter tracts in patients, pMD and pFA detected microstructural abnormalities brain-wide ( p < 0.05, FWE corrected; Hedge’s g > 1). This distinction was meaningful in terms of motor symptom severity, as we found that patient scores on the Scale for the Assessment and Rating of Ataxia correlated most strongly with cerebellar pVF ( r = - 0.66, p = 0.015) and global white matter pFA ( r = −0.64, p = 0.018). Since this contrast between focal tissue loss and global microstructural abnormality has previously been described in neuropathology, we believe the approach employed here is well suited for the in-vivo assessment of neurodegeneration. Moving forward, this approach could be applied to characterize the full spatiotemporal pattern of neurodegeneration in SCA7, and potentially develop an accurate imaging biomarker of disease progression. Highlights DTI study reveals brain-wide differences between SCA7 patients and controls. DTI dual-compartment model controls for increased CSF-like free water in patients. Tensor-based deformations show SCA7 tissue loss extends beyond cerebellum. Focal atrophy, but global microstructural abnormalities were observed in SCA7. Ataxia most correlated with cerebellar atrophy, global microstructural abnormality.
... 3 Similarly, MR imaging studies in SCA7 reported extensive cerebellar degeneration and, to a lesser extent, in cortical cerebral regions such as the pre-/postcentral gyri, cuneus, precuneus, inferior occipital gyrus, insula, and inferior frontal gyrus. [4][5][6] However, studies of the central nervous system to date in SCA7 have focused primarily on brain changes, overlooking the possible involvement of spinal cord degeneration on the motor deficits caused by the disease. A number of reports in other ataxias have shown a strong association between spinal cord and the motor deficits that the patients develop, including Friedreich ataxia, 7 SCA1, 8 and SCA3. ...
... The data set used in this study was previously reported in separate studies for both the Universidad Nacional Autonoma de Mexico and the Pitié-Salpêtrière University Hospital. 6,10,11 The final sample (48 patients) included 38 patients from Mexico and 10 patients from France. For each site, age-and sexmatched healthy volunteers were invited to participate as a control group. ...
Article
Background and purpose: Spinocerebellar ataxia type 7 is an autosomal dominant neurodegenerative disease caused by a cytosine-adenine-guanine (CAG) repeat expansion. Clinically, spinocerebellar ataxia type 7 is characterized by progressive cerebellar ataxia, pyramidal signs, and macular degeneration. In vivo MR imaging studies have shown extensive gray matter degeneration in the cerebellum and, to a lesser extent, in a range of cortical cerebral areas. The purpose of this study was to evaluate the impact of the disease in the spinal cord and its relationship with the patient's impairment. Materials and methods: Using a semiautomated procedure applied to MR imaging data, we analyzed spinal cord area and eccentricity in a cohort of 48 patients with spinocerebellar ataxia type 7 and compared them with matched healthy controls. The motor impairment in the patient group was evaluated using the Scale for Assessment and Rating of Ataxia. Results: Our analysis showed a significantly smaller cord area (t = 9.04, P < .001, d = 1.31) and greater eccentricity (t = -2.25, P =. 02, d = 0.32) in the patient group. Similarly, smaller cord area was significantly correlated with a greater Scale for Assessment and Rating of Ataxia score (r = -0.44, P = .001). A multiple regression model showed that the spinal cord area was strongly associated with longer CAG repetition expansions (P = .002) and greater disease duration (P = .020). Conclusions: Our findings indicate that cervical spinal cord changes are progressive and clinically relevant features of spinocerebellar ataxia type 7, and future investigation of these measures as candidate biomarkers is warranted.
... The aim of the present study was to use an effective connectivity approach to investigate how cerebellar degeneration affects interactions within the cortico-striato-cerebellar network and how these changes relate to the commonly reported motor sequence learning deficits. Using voxel-based morphometry and tract-based statistics, studies investigating spino-cerebellar ataxia (SCA) -one form of cerebellar degeneration showed that white-and grey-matter degeneration is not limited to cerebellar structures but also found in cerebellar pathways as well as extra-cerebellar structures (Alcauter et al., 2011;Brenneis et al., 2003;Franca et al., 2009;Hernandez-Castillo et al., 2016;Lasek et al., 2006;Mercadillo et al., 2014). The patients included in this study were heterogeneous in terms of the specific cerebellar degeneration. ...
... In patients on the other hand, who did not learn the underlying motor sequence, PHC activity increased during sequence blocks. Both previous studies with patients with spino-cerebellar ataxia (Alcauter et al., 2011;Hernandez-Castillo et al., 2016;Mercadillo et al., 2014) and our present data revealed significant grey matter loss in PHC compared to healthy controls. However, we found no correlation between sequence-specific activity in left PHC in the patient group and grey matter loss in left PHC and patients showed not general but rather condition-specific activity change in PHC activity. ...
Preprint
The cerebellum plays an important role in motor learning as part of a cortico-striato-cerebellar network. Patients with cerebellar degeneration typically show impairments in different aspects of motor learning, including implicit motor sequence learning. How cerebellar dysfunction affects interactions in this cortico-striato-cerebellar network is poorly understood. The present study investigated the effect of cerebellar degeneration on activity in causal interactions between cortical and subcortical regions involved in motor learning. We found that cerebellar patients showed learning-related increase in activity in two regions known to be involved in learning and memory, namely parahippocampal cortex and cerebellar Crus I. The cerebellar activity increase was observed in non-learners of the patient group whereas learners showed an activity decrease. Dynamic causal modelling analysis revealed that modulation of M1 to cerebellum and putamen to cerebellum connections were significantly more negative for sequence compared to random blocks in controls, replicating our previous results, and did not differ in patients. In addition, a separate analysis revealed a similar effect in connections from SMA and PMC to M1 bilaterally. Again, neural network changes were associated with learning performance in patients. Specifically, learners showed a negative modulation from right SMA to right M1 that was similar to controls, whereas this effect was close to zero in non-learners. These results highlight the role of cerebellum in motor learning and demonstrate the functional role cerebellum plays as part of the cortico-striato-cerebellar network.
... SARA score did not show any association with cerebral cortical thickness; however, it was correlated with bilateral anterior and posterior cerebellar lobe cortical thickness, including those regions in which lower graymatter intensity has previously been associated with higher SARA score in SCA10. 22 In the same way as other SCA subtypes, severity of ataxia seemed to be related to the extent of cerebellar, 42,43 but not cerebral, neurodegeneration. ...
Article
Background: Spinocerebellar ataxia type 10 is a neurodegenerative disorder caused by the expansion of an ATTCT pentanucleotide repeat. Its clinical features include ataxia and, in some cases, epileptic seizures. There is, however, a dearth of information about its cognitive deficits and the neural bases underpinning them. Objectives: The objectives of this study were to characterize the performance of spinocerebellar ataxia type 10 patients in 2 cognitive domains typically affected in spinocerebellar ataxias, memory and executive function, and to correlate the identified cognitive impairments with ataxia severity and cerebral/cerebellar cortical thickness, as quantified by MRI. Methods: Memory and executive function tests were administered to 17 genetically confirmed Mexican spinocerebellar ataxia type 10 patients, and their results were compared with 17 healthy matched volunteers. MRI was performed in 16 patients. Results: Patients showed deficits in visual and visuospatial short-term memory, reduced storage capacity for verbal memory, and impaired monitoring, planning, and cognitive flexibility, which were ataxia independent. Patients with seizures (n = 9) and without seizures (n = 8) did not differ significantly in cognitive performance. There were significant correlations between short-term visuospatial memory impairment and posterior cerebellar lobe cortical thickness (bilateral lobule VI, IX, and right X). Cognitive flexibility deficiencies correlated with cerebral cortical thickness in the left middle frontal, cingulate, opercular, and temporal gyri. Cerebellar cortical thickness in several bilateral regions was correlated with motor impairment. Conclusions: Patients with spinocerebellar ataxia type 10 show significant memory and executive dysfunction that can be correlated with deterioration in the posterior lobe of the cerebellum and prefrontal, cingulate, and middle temporal cortices.
... Searching, lately, for SCAS disease biomarkers begins by prioritizing research lines on diagnosis, progression tracking, and clinical trial evaluations [9][10][11][12], principal efforts identifying SCA7 biomarkers from electrophysiological [5,[13][14][15] and imaging approaches [16][17][18][19]. On electrophysiological characterization, studies are focusing on visual system assessment of visually evoked potential tests, electroretinograms [5,20] with peripheral nerve conduction [5,13], and eye movement [14]. ...
Article
Full-text available
Background: Spinocerebellar ataxia type 7 (SCA7) is an autosomal dominant disorder caused by a mutation in the ATXN7 gene. The involvement of the brainstem auditory pathway in pathogenesis of this disease has not been systematically assessed. Aim: To determine involvement of the brainstem auditory pathway in SCA7 patients and its relationship to clinical features of the disease. Methods: In this case-control study, brainstem auditory-evoked potentials (BAEPs) were assessed in 12 SCA7 patients with clinical and molecular diagnosis, compared to 2 control groups of 16 SCA2 patients and 16 healthy controls. Results: SCA7 patients exhibited significant prolongation of I-wave and III-wave latencies, whereas SCA2 patients showed increased latencies for III and V waves and I-III interpeak interval. SCA7 patients with larger I-wave latencies exhibited larger CAG repeats, earlier onset age, and higher SARA scores, but in SCA2 cases, these were not observed. Conclusions: BAEP tests revealed functional involvement of the auditory pathway in SCA7 (mainly at) peripheral portions, which gave new insights into the disease physiopathology different from SCA2 and may unravel distinct pathoanatomical effects of polyQ expansions in the central nervous system. Significance: These findings offer important insights into the distinctive disease mechanisms in SCA7 and SCA2, which could be useful for differential diagnosis and designing specific precision medicine approaches for both conditions.
... Interestingly, MRI analysis shows atrophy of the corpus callosum, hippocampus and cortical regions, which parallels observations of human SCA7 [12,70]. In particular, recent studies showed altered functional connectivity between patients' cerebellum and hippocampus or parahippocampal areas that may account for speci c memory dysfunctions [15,[71][72][73]. The hippocampus is a brain region where mutant ATXN7 rapidly accumulates in SCA7140Q/5Q (data not shown) and in SCA7266Q/5Q mice [39]. ...
Article
Full-text available
Spinocerebellar ataxia type 7 (SCA7) is an inherited neurodegenerative disease mainly characterized by motor incoordination due to progressive cerebellar degeneration. SCA7 is caused by polyglutamine expansion in ATXN7, a subunit of the transcriptional coactivator SAGA, which harbors histone modification activities. Polyglutamine expansions in specific proteins are also responsible for SCA1-3, 6 and 17, however, the converging and diverging pathomechanisms remain poorly understood. Using a new SCA7 knock-in mouse, SCA7140Q/5Q, we analyzed gene expression in the cerebellum and assigned gene deregulation to specific cell types using published datasets. Gene deregulation affects all cerebellar cell types, although at variable degree, and correlates with alterations of SAGA-dependent epigenetic marks. Purkinje cells (PCs) are by far the most affected neurons and show reduced expression of 83 cell-type identity genes, including these critical for their spontaneous firing activity and synaptic functions. PC gene downregulation precedes morphological alterations, pacemaker dysfunction and motor incoordination. Strikingly, most PC genes downregulated in SCA7 have also decreased expression in SCA1 and SCA2 mice, revealing converging pathomechanisms and a common disease signature involving cGMP-PKG and phosphatidylinositol signaling pathways and long-term depression. Our study thus points out molecular targets for therapeutic development, which may prove beneficial for several SCAs. Furthermore, we show that SCA7140Q/5Q males and females exhibit the major disease features observed in patients, including cerebellar damage, cerebral atrophy, peripheral nerves pathology and photoreceptor dystrophy, which account for progressive impairment of behavior, motor and visual functions. SCA7140Q/5Q mice represent an accurate model for the investigation of different aspects of SCA7 pathogenesis.Significance statementSpinocerebellar ataxia 7 (SCA7) is one of the several forms of inherited SCAs characterized by cerebellar degeneration due to polyglutamine expansion in specific proteins. The ATXN7 involved in SCA7 is a subunit of SAGA transcriptional coactivator complex. To understand the pathomechanisms of SCA7, we determined the cell-type specific gene deregulation in SCA7 mouse cerebellum. We found that the Purkinje cells (PCs) are the most affected cerebellar cell type and show downregulation of a large subset of neuronal identity genes, critical for their spontaneous firing and synaptic functions. Strikingly, the same PC genes are downregulated in mouse models of two other SCAs. Thus, our work reveals a disease signature shared among several SCAs and uncovers potential molecular targets for their treatment.
... In 2013, Horton et al. reported the results of a 27 years follow-up of 16 individuals with SCA7, proposed the existence of 4 clinical stages of the disease, and suggested electroretinogram as a possible biomarker [8]. Others have investigated neuroimaging and SCA7 progression and reported a negative correlation between SARA score and the volume of specific areas of the cerebellum, cerebral cortex, and white matter in magnetic resonance imaging (MRI) [24,25]. Furthermore, neurophysiological studies may also offer biomarkers in SCA7. ...
Article
Full-text available
The aim of this study is to propose a classification system for the spinocerebellar ataxia type 7 retinal degeneration (SCA7-RD). Twenty patients with molecularly confirmed SCA7 underwent slit lamp examination, fundus photography, and optical coherence tomography (Spectralis®). Scale for the Assessment and Rating of Ataxia (SARA) and International Cooperative Ataxia Rating Scale (ICARS) were applied, and age, sex, age at symptom onset, and number of CAG expansions were recorded. After analyzing the ophthalmological findings in each participant, a panel of retinal disease experts created a qualitative classification system for SCA7-RD comprising four stages. We assessed the correlations of retinal degeneration severity with SARA and ICARS scores, number of CAG repeats in ATXN7 allele, and age at symptom onset. We graded retinal degeneration as stage 1 in nine participants, as stage 2 in five, and as stage 3 in six. No differences in age and visual symptoms duration were found between groups. SARA and ICARS scores correlated with the severity of SCA7-RD on the classification system (p = 0.024 and p = 0.014, respectively). After adjusting for disease duration, retinal disease stage association with SARA and ICARS scores remained significant (ANCOVA, p < 0.05). The classification system for SCA7-RD was able to characterize different disease stages representing the landmarks in the cone–rod dystrophy natural history. Neurodegeneration appears to occur in parallel in the cerebellum and in the visual pathway. We conclude that retinal degeneration in SCA7 is a potential biomarker of the neurological phenotype severity.
... Basal ganglia abnormalities can lead to dystonia and parkinsonism, however, parkinsonian motor features seem not to be that common in SCA3/MJD patients since the degeneration of the motor territory of the subthalamic nucleus can partially ameliorate the manifestation of parkinsonism in SCA3/MJD patients (Schols et al., 2015). The correlation between brain atrophy patterns and ataxia has also been found in SCA1, SCA6 (Schulz et al., 2010), SCA7 (Hernandez-Castillo et al., 2016), and SCA17 (Reetz et al., 2010) patients, suggesting that these clinical manifestations may be caused by the same atrophy pattern. ...
Article
Full-text available
Spinocerebellar ataxia type 3/Machado–Joseph disease (SCA3/MJD) is a progressive autosomal dominantly inherited cerebellar ataxia characterized by the aggregation of polyglutamine-expanded protein within neuronal nuclei in the brain, which can lead to brain damage that precedes the onset of clinical manifestations. Magnetic resonance imaging (MRI) techniques such as morphometric MRI, diffusion tensor imaging (DTI), functional magnetic resonance imaging (fMRI), and magnetic resonance spectroscopy (MRS) have gained increasing attention as non-invasive and quantitative methods for the assessment of structural and functional alterations in clinical SCA3/MJD patients as well as preclinical carriers. Morphometric MRI has demonstrated typical patterns of atrophy or volume loss in the cerebellum and brainstem with extensive lesions in some supratentorial areas. DTI has detected widespread microstructural alterations in brain white matter, which indicate disrupted brain anatomical connectivity. Task-related fMRI has presented unusual brain activation patterns within the cerebellum and some extracerebellar tissue, reflecting the decreased functional connectivity of these brain regions in SCA3/MJD subjects. MRS has revealed abnormal neurochemical profiles, such as the levels or ratios of N-acetyl aspartate, choline, and creatine, in both clinical cases and preclinical cases before the alterations in brain anatomical structure. Moreover, a number of studies have reported correlations of MR imaging alterations with clinical and genetic features. The utility of these MR imaging techniques can help to identify preclinical SCA3/MJD carriers, monitor disease progression, evaluate response to therapeutic interventions, and illustrate the pathophysiological mechanisms underlying the occurrence, development, and prognosis of SCA3/MJD.
Article
Full-text available
Spinocerebellar ataxia type 7 (SCA7) is an autosomal-dominant inherited disease characterized by progressive ataxia and retinal degeneration. SCA7 belongs to a group of neurodegenerative diseases caused by an expanded CAG repeat in the disease-causing gene, resulting in aberrant polyglutamine (polyQ) protein synthesis. PolyQ ataxin-7 is prone to aggregate in intracellular inclusions, perturbing cellular processes leading to neuronal death in specific regions of the central nervous system (CNS). Currently, there is no treatment for SCA7; however, a promising approach successfully applied to other polyQ diseases involves the clearance of polyQ protein aggregates through pharmacological activation of autophagy. Nonetheless, the blood–brain barrier (BBB) poses a challenge for delivering drugs to the CNS, limiting treatment effectiveness. This study aimed to develop a polymeric nanocarrier system to deliver therapeutic agents across the BBB into the CNS. We prepared poly(lactic-co-glycolic acid) nanoparticles (NPs) modified with Poloxamer188 and loaded with rapamycin to enable NPs to activate autophagy. We demonstrated that these rapamycin-loaded NPs were successfully taken up by neuronal and glial cells, demonstrating high biocompatibility without adverse effects. Remarkably, rapamycin-loaded NPs effectively cleared mutant ataxin-7 aggregates in a SCA7 glial cell model, highlighting their potential as a therapeutic approach to fight SCA7 and other polyQ diseases.
Article
Full-text available
Spinocerebellar Ataxia Type 2 (SCA2) is a genetic disorder causing cerebellar degeneration that result in motor and cognitive alterations. Voxel-based Morphometry (VBM) analyses have found neurodegenerative patterns associated to SCA2, but they show some discrepancies. Moreover, behavioral deficits related to non-cerebellar functions are scarcely discussed in those reports. In this work we use behavioral and cognitive tests and VBM to identify and confirm cognitive and gray matter alterations in SCA2 patients compared with control subjects. Also, we discuss the cerebellar and non-cerebellar functions affected by this disease. Our results confirmed gray matter reduction in the cerebellar vermis, pons, insular, frontal, parietal and temporal cortices. However, our analysis also found unreported loss of gray matter in the parahippocampal gyrus bilaterally. Motor performance test ratings correlated with total gray and white matter reductions, but executive performance and clinical features such as CAG repetitions and disease progression did not show any correlation. This pattern of cerebellar and non-cerebellar morphological alterations associated with SCA2 has to be considered to fully understand the motor and non-motor deficits that include language production and comprehension and some social skills changes that occur in these patients.
Article
Full-text available
Spinocerebellar ataxia type 7 (SCA7) is a genetic disorder characterized by degeneration of the motor and visual systems. Besides neural deterioration, these patients also show functional connectivity changes linked to the degenerated brain areas. However, it is not known if there are functional connectivity changes in regions not necessarily linked to the areas undergoing structural deterioration. Therefore, in this study we have explored the whole-brain functional connectivity of SCA7 patients in order to find the overall abnormal functional pattern of this disease. Twenty-six patients and age-and-gender-matched healthy controls were recruited. Whole-brain functional connectivity analysis was performed in both groups. A classification algorithm was used to find the discriminative power of the abnormal connections by classifying patients and healthy subjects. Nineteen abnormal functional connections involving cerebellar and cerebral regions were selected for the classification stage. Support vector machine classification reached 92.3% accuracy with 95% sensitivity and 89.6% specificity using a 10-fold cross-validation. Most of the selected regions were well known degenerated brain regions including cerebellar and visual cortices, but at the same time, our whole-brain connectivity analysis revealed new regions not previously reported involving temporal and prefrontal cortices. Our whole-brain connectivity approach provided information that seed-based analysis missed due to its region-specific searching method. The high classification accuracy suggests that using resting state functional connectivity may be a useful biomarker in SCA 7.
Article
Full-text available
Permutation methods can provide exact control of false positives and allow the use of non-standard statistics, making only weak assumptions about the data. With the availability of fast and inexpensive computing, their main limitation would be some lack of flexibility to work with arbitrary experimental designs. In this paper we report on results on approximate permutation methods that are more flexible with respect to the experimental design and nuisance variables, and conduct detailed simulations to identify the best method for settings that are typical for imaging research scenarios. We present a generic framework for permutation inference for complex general linear models (glms) when the errors are exchangeable and/or have a symmetric distribution, and show that, even in the presence of nuisance effects, these permutation inferences are powerful while providing excellent control of false positives in a wide range of common and relevant imaging research scenarios. We also demonstrate how the inference on glm parameters, originally intended for independent data, can be used in certain special but useful cases in which independence is violated. Detailed examples of common neuroimaging applications are provided, as well as a complete algorithm - the "randomise" algorithm - for permutation inference with the glm.
Article
Full-text available
Spinocerebellar ataxia type 7 (SCA7) is an autosomal-dominant neurodegenerative disorder characterized by progressive ataxia and retinal dystrophy. It is caused by a CAG trinucleotide expansion in the ataxin7 gene. Anatomical studies have shown severe cerebellar degeneration and region-specific neocortical atrophy in SCA7 patients. However, the impact of the neurodegeneration on the functional integration of the remaining tissue is still unknown. The aim of this study was to examine functional connectivity abnormalities in areas with significant gray matter atrophy in SCA7 patients and their relationship with number of CAG repeats. Using a combination of voxel-based morphometry and resting-state fMRI, we studied 26 genetically confirmed SCA7 patients and aged-matched healthy controls. In SCA7 patients we found reduced functional interaction between the cerebellum and the middle and superior frontal gyri, disrupted functional connectivity between the visual and motor cortices, and increased functional coordination between atrophied areas of the cerebellum and a range of visual cortical areas compared with healthy controls. The degree of mutation expansion showed a negative effect on both the functional interaction between the right anterior cerebellum and the left superior frontal gyrus and the connectivity between the right anterior cerebellum and left parahippocampal gyrus. We found abnormal functional connectivity patterns, including both hypo- and hyperconnectivity, compared with controls. These abnormal patterns show reasonable association with the severity of gene mutation. Our findings suggest that aberrant changes are prevalent in both motor and visual systems, adding significantly to our understanding of the pathophysiology of SCA7. © 2013 Movement Disorder Society.
Article
Full-text available
Assessments of anterior cingulate cortex in experimental animals and humans have led to unifying theories of its structural organization and contributions to mammalian behaviour The anterior cingulate cortex forms a large region around the rostrum of the corpus callosum that is termed the anterior executive region. This region has numerous projections into motor systems, however since these projections originate from different parts of anterior cingulate cortex and because functional studies have shown that it does not have a uniform contribution to brain functions, the anterior executive region is further subdivided into 'affect' and 'cognition' components. The affect division includes areas 25, 33 and rostral area 24, and has extensive connections with the amygdala and periaqueductal grey, and parts of it project to autonomic brainstem motor nuclei. In addition to regulating autonomic and endocrine functions, it is involved in conditioned emotional learning, vocalizations associated with expressing internal states, assessments of motivational content and assigning emotional valence to internal and external stimuli, and maternal-infant interactions. The cognition divi sion includes caudal areas 24' and 32', the cingulate motor areas in the cingulate sulcus and nociceptive cortex. The cingulate motor areas project to the spinal cord and red nucleus and have premotor functions, while the nociceptive area is engaged in both response selection and cognitively demanding information processing. The cingulate epilepsy syndrome provides important support of experimental animal and human functional imaging studies for the role of anterior cingulate cortex in movement affect and social behaviours. Excessive cingulate activity in cases with seizures confirmed in anterior cingulate cortex with subdural electrode recordings, can impair consciousness alter affective stare and expression, and influence skeletomotor and autonomic activity. Interictally, patients with anterior cingulate cortex epilepsy often display psychopathic or sociopathic behaviours. In other clinical examples of elevated anterior cingulate cortex activity it may contribute to ties, obsessive-compulsive behaviours, and aberrent social behaviour. Conversely, reduced cingulate activity following infarcts or surgery can contribute to behavioural disorders including akinetic mutism, diminished self-awareness and depression, motor neglect and impaired motor initiation, reduced responses to pain, and aberrent social behaviour. The role of anterior cingulate cortex in pain responsiveness is suggested by cingulumotomy results and functional imaging studies during noxious somatic stimulation. The affect division of anterior cingulate cortex modulates autonomic activity and internal emotional responses, while the cognition division is engaged in response selection associated with skeletomotor activity and responses to noxious stimuli. Over-all, anterior cingulate cortex appears to play a crucial role in initiation, motivation, and goal-directed behaviours. The anterior cingulate cortex is part of a larger matrix of structures that are engaged in similar functions. These structures from the rostral limbic system and include the amygdala, periaqueductal grey, ventral striatum, orbitofrontal and anterior insular cortices. The system formed by these interconnected areas assesses the motivational content of internal and external stimuli and regulates context-dependent behaviours.
Article
Full-text available
Spinocerebellar ataxia type 7 (SCA7) is an autosomal-dominant, late-onset, slowly progressive disorder, primarily characterized by gradual loss of motor coordination, resulting from dysfunction and degeneration of the cerebellum and its connecting pathways. The disease is caused by expansion of a CAG trinucleotide repeat within the SCA7 gene, which encodes a polyglutamine tract within a novel protein, termed ataxin-7. The expansion of polyglutamine-encoding CAG repeats in dissimilar genes underlies eight neurodegenerative conditions besides SCA7, including a number of dominant ataxias related to SCA7. Although elongated polyglutamine itself can initiate neuronal dysfunction and death, its toxicity is modulated by the context of the disease proteins, as evidenced by the differing clinical and pathological presentation of the various disorders. In this respect, it is exciting that SCA7 constitutes the only polyglutamine disorder, in which the photoreceptors of the retina are also severely affected, leading to retinal degeneration and blindness. Since the discovery of the SCA7 mutation, numerous studies attempted to pinpoint the molecular mechanisms underlying the unique features of SCA7, particularly the retinal involvement. Here we summarize the clinical, pathological, and genetic aspects of SCA7, and review the current understanding of the pathogenesis of this disorder.
Conference Paper
Voxel intensity-based tests provide good sensitivity for high intensity signals, whereas cluster extent-based tests are sensitive to spatially extended signals. To benefit from the strength of both, we consider combining intensity and extent information. We generalize previous work by proposing the use of weighted combining functions. Using a combining framework with permutation tests, we consider a variety of ways of combining voxel intensity and cluster extent information without knowing their distribution. Further, we propose meta-combining, a combining function of combining functions, which integrates strengths of multiple combining functions into one single statistic. Using real data, we demonstrate that combined tests can be more sensitive than voxel or cluster size test alone. Though not necessarily sensitive than individual combining functions, the meta-combining function is sensitive to all types of signals, thus can be uses as a single test summarizing all the combining functions.
Article
The parahippocampal cortex (PHC) has been associated with many cognitive processes, including visuospatial processing and episodic memory. To characterize the role of PHC in cognition, a framework is required that unifies these disparate processes. An overarching account was proposed whereby the PHC is part of a network of brain regions that processes contextual associations. Contextual associations are the principal element underlying many higher-level cognitive processes, and thus are suitable for unifying the PHC literature. Recent findings are reviewed that provide support for the contextual associations account of PHC function. In addition to reconciling a vast breadth of literature, the synthesis presented expands the implications of the proposed account and gives rise to new and general questions about context and cognition.