<p>The intersubject point spread function (PSF) of connectivity profile correlations are computed as the correlation between the connectivity profile for a cortical locus in one subject and the profiles of the same locus and its spatial neighbors in other subjects at increasing distances from that locus. For the HCP rsfMRI data, within-subject PSFs are computed as the correlation between the connectivity profile for a cortical locus from one rsfMRI session and the profiles of the same locus and its spatial neighbors from a different rsfMRI session. Slope is estimated in each functional ROI as the linear fit of intersubject or within subject correlations as a function of distance. (A) Slope of PSFs for movie viewing connectivity profiles in ...
Neural brain connectivity has three aspects: a physical connection between different brain regions –...
<p>Distribution of correlation coefficients for pairs of neurons (A) and temporal correlation of pop...
In this paper, we describe a new methodology for defining brain regions-of-interset (ROIs) in functi...
(A) Intersubject variability in resting state functional connectivity was quantified at each vertex ...
<p>(A) Connectivity matrix of high-resolution cortical connectivity. (B–D) Averaged connection matri...
The dataset includes 15 subjects x 5 steady state conditions. Connectivity data has been computed u...
Studies of brain-wide functional connectivity or structural covariance typically use measures like t...
<p>(A) Average ISCs of connectivity profiles in each surface node after CHA and anatomical alignment...
There is ample evidence from basic research in neuroscience of the importance of local corticocortic...
Between-network rsFC was calculated as the average Pearson r correlation (y-axes) between each of th...
Functional connectivity of an individual human brain is often studied by acquiring a resting state f...
<p>(A) Average connectivity measures per surface unit for each nucleus and each gyrus. (B) Cortical ...
(A) gF was predicted based on connectivity values among the individually specified ROIs. The scatter...
Between-network rsFC was calculated as the average Pearson r correlation (y-axes) between each of th...
The analysis of Functional Connectivity (FC) is a key technique of fMRI, having been used to disting...
Neural brain connectivity has three aspects: a physical connection between different brain regions –...
<p>Distribution of correlation coefficients for pairs of neurons (A) and temporal correlation of pop...
In this paper, we describe a new methodology for defining brain regions-of-interset (ROIs) in functi...
(A) Intersubject variability in resting state functional connectivity was quantified at each vertex ...
<p>(A) Connectivity matrix of high-resolution cortical connectivity. (B–D) Averaged connection matri...
The dataset includes 15 subjects x 5 steady state conditions. Connectivity data has been computed u...
Studies of brain-wide functional connectivity or structural covariance typically use measures like t...
<p>(A) Average ISCs of connectivity profiles in each surface node after CHA and anatomical alignment...
There is ample evidence from basic research in neuroscience of the importance of local corticocortic...
Between-network rsFC was calculated as the average Pearson r correlation (y-axes) between each of th...
Functional connectivity of an individual human brain is often studied by acquiring a resting state f...
<p>(A) Average connectivity measures per surface unit for each nucleus and each gyrus. (B) Cortical ...
(A) gF was predicted based on connectivity values among the individually specified ROIs. The scatter...
Between-network rsFC was calculated as the average Pearson r correlation (y-axes) between each of th...
The analysis of Functional Connectivity (FC) is a key technique of fMRI, having been used to disting...
Neural brain connectivity has three aspects: a physical connection between different brain regions –...
<p>Distribution of correlation coefficients for pairs of neurons (A) and temporal correlation of pop...
In this paper, we describe a new methodology for defining brain regions-of-interset (ROIs) in functi...