Fig 5 - uploaded by Brunno Machado de Campos
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![Sample result from a group-level ROI-to-ROI analysis. The four images represent the same findings in distinct graphical representations of the nodes with significant difference (p<0.05, FDR corrected) between groups. On the top left, a correlation matrix view (adjacency matrix). In the top-right, the ''organic'' circular connectome with the lines color-coded by functional networks. On the bottom left, the 2D flat representation (axial plane) with the anatomical position of the included ROIs. On the bottom right, the 3D representation of altered connections with the respective position (centroid) of each ROI with altered connections. For the 2D and 3D graphics, the line colors indicate the direction of the alterations: Group-A>Group-B in blue, Group-B<Group-A in red, the dashed and yellow lines indicate signal in opposite directions between groups on 2D and 3D graphics respectively. The sphere colors represent the functional networks to which each ROI belongs [9] . (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)](profile/Brunno-Campos/publication/339749784/figure/fig5/AS:866154784505858@1583518801737/Sample-result-from-a-group-level-ROI-to-ROI-analysis-The-four-images-represent-the-same.png)
Sample result from a group-level ROI-to-ROI analysis. The four images represent the same findings in distinct graphical representations of the nodes with significant difference (p<0.05, FDR corrected) between groups. On the top left, a correlation matrix view (adjacency matrix). In the top-right, the ''organic'' circular connectome with the lines color-coded by functional networks. On the bottom left, the 2D flat representation (axial plane) with the anatomical position of the included ROIs. On the bottom right, the 3D representation of altered connections with the respective position (centroid) of each ROI with altered connections. For the 2D and 3D graphics, the line colors indicate the direction of the alterations: Group-A>Group-B in blue, Group-B<Group-A in red, the dashed and yellow lines indicate signal in opposite directions between groups on 2D and 3D graphics respectively. The sphere colors represent the functional networks to which each ROI belongs [9] . (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Source publication
The User-Friendly Functional Connectivity (UF2C) software provides researchers with a platform to analyze functional magnetic resonance neuroimages from the initial preprocessing steps to the generation of manuscript-quality figures. UF2C is implemented in Matlab language and falls within the FreeBSD license. Our toolbox builds on a combination of...
Contexts in source publication
Context 1
... comparisons among correlations in opposite directions have been considered accordingly in the statistical analysis. The main difference here is that for these scenarios, UF 2 C graphical outputs will not show these alterations as decreased or increased, but will indicate them with dashed lines (on 2D plots) and yellow (on 3D plots) [2,9] (see Fig. ...
Context 2
... comparisons among correlations in opposite directions have been considered accordingly in the statistical analysis. The main difference here is that for these scenarios, UF 2 C graphical outputs will not show these alterations as decreased or increased, but will indicate them with dashed lines (on 2D plots) and yellow (on 3D plots) [2,9] (see Fig. ...
Citations
... The preprocessing and FC analysis was carried using UF 2 C toolbox that runs on the MATLAB platform (2014; The Math Works, Inc., USA) with SPM12 (Campos et al., 2020). The functional images were realigned, coregistered with high-resolution T1 images, normalized (Montreal Neurological Institute template 152), smoothed (full width half maximum 6 · 6 · 6 mm), filtered (bandpass filter 0.008-0.1 Hz), and linearly regressed for 12 parameters (3-6 motion parameters, the 3 principal components of the average signals of the white matter and 3 of the CSF. ...
Introduction:
Research in brain resting-state functional connectivity (FC) analysis in mild cognitive impairment (MCI) has conflicting results. This work intends to find differences in resting-state FC of MCI subjects due to Alzheimer´s disease continuum (MCI-AD) or suspected non-Alzheimer pathology (MCI-SNAP).
Methods:
92 subjects over 55 years old were enrolled. MCI and controls were grouped using clinical dementia rating and neuropsychological data. CSF biomarkers were collected from MCI subjects, resulting in 32 MCI-AD, 25 MCI-SNAP, and 35 controls. A ROI-to-ROI analysis was carried out looking at inter and intranetwork interactions selecting the following networks: default mode (DMN), salience (SN), visuospatial (VN), and executive. Pearson correlation coefficients, converted to Z-scores were compared by T-tests with alpha set to 0.05, FDR corrected.
Results:
Groups were similar in age, education and demographic measures, there were no differences in neuropsychological data between the MCI groups. The ROI-to-ROI analysis MCI-AD versus MCI-SNAP showed no differences. MCI-AD versus controls showed decreased FC between ROIs of the SN and between ROIs from SN and VN. MCI-SNAP versus controls showed increased FC between a ROI of DMN and VN.
Discussion:
SN, DMN, and VN are multimodal networks with high value/high cost and may be more vulnerable to AD pathogenic processes. SN and VN were affected in the MCI-AD group, with maintained anticorrelation between DMN and VN. This may indicate subthreshold DMN dysfunction. The result in MCI-SNAP, although discrete, reflects a rearrangement of brain FC, as DMN and VN are expected to be anticorrelated. More research is necessary to confirm these findings.
