Factors affecting characterization and localization of interindividual differences in functional connectivity using MRI.

ABSTRACT: Much recent attention has been paid to quantifying anatomic and functional neuroimaging on the individual subject level. For optimal individual subject characterization, specific acquisition and analysis features need to be identified that maximize interindividual variability while concomitantly minimizing intra-subject variability. We delineate the effect of various acquisition parameters (length of acquisition, sampling frequency) and analysis methods (time course extraction, region of interest parcellation, and thresholding of connectivity-derived network graphs) on characterizing individual subject differentiation. We utilize a non-parametric statistical metric that quantifies the degree to which a parameter set allows this individual subject differentiation by both maximizing interind

SUBMITTER: Airan RD 

PROVIDER: S-EPMC5516891 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature