Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior
作者： Ru Kong , Qing Yang , Evan Gordon , Aihuiping Xue , Xiaoxuan Yan
DOI: 10.1101/2021.01.16.426943
关键词: Functional connectivity 、 Artificial intelligence 、 Computer science 、 Pattern recognition 、 Bayesian inference
摘要: Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of individual-specific cortical parcellations. We have previously developed a multi-session …
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