Stability and Localization of inter-individual differences in functional connectivity
作者： Brian Caffo , Raag D. Airan , Haris I. Sair , Joshua T. Vogelstein , James J. Pekar
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摘要: Much recent attention has been paid to quantifying anatomic and functional neuroimaging on the individual subject level. For optimal characterization, specific acquisition analysis features need be identified that maximize inter-individual variability while concomitantly minimizing intra-subject variability. Here we develop a non-parametric statistical metric quantifies degree which parameter set allows this differentiation. We apply analyzing publicly available test-retest resting-state fMRI (rs-fMRI) data sets. find for question of maximizing differentiation, there is relative tradeoff between increasing sampling through increased frequency or time; sizes interrogated sets, only 4-5 min time necessary perfectly differentiate each subject; brain regions most contribute individuals unique characterization lie in association cortices thought higher cognitive function. These findings may guide rs-fMRI experiment design aid elucidation neural bases subject-to-subject differences.
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