<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Han F</submitter><funding>Human Connectome Project</funding><funding>NIH Blueprint for Neuroscience Research</funding><funding>16 NIH Institutes and Centers</funding><funding>McDonnell Center for Systems Neuroscience at Washington University</funding><funding>NIMH NIH HHS</funding><funding>NINDS NIH HHS</funding><funding>National Institutes of Health</funding><pagination>116853</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7311192</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>215</volume><pubmed_abstract>An essential task of neuroscience is to elucidate the relationship between brain activity, brain structure, and human behavior. This study aims to understand this 3-way relationship by studying the population covariance of resting-state functional connectivity, cortical thickness, and behavioral/demographic measures in a large cohort of individuals. Using a data-driven canonical correlation analysis, we found that maximal pairwise correlations between the three modalities are approximately along the same direction across subjects, which is characterized by the change of the overall positive-negative trait of human behavior. More importantly, this behavioral change is associated with a divergent modulation of both resting-state connectivity and cortical thickness across cortical hierarchies</pubmed_abstract><journal>NeuroImage</journal><pubmed_title>Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics.</pubmed_title><pmcid>PMC7311192</pmcid><funding_grant_id>K99/R00 5R00NS092996-03</funding_grant_id><funding_grant_id>1U54MH091657</funding_grant_id><funding_grant_id>U54 MH091657</funding_grant_id><funding_grant_id>R00 NS092996</funding_grant_id><pubmed_authors>Liu X</pubmed_authors><pubmed_authors>Brown GL</pubmed_authors><pubmed_authors>Gu Y</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Han F</pubmed_authors></additional><is_claimable>false</is_claimable><name>Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics.</name><description>An essential task of neuroscience is to elucidate the relationship between brain activity, brain structure, and human behavior. This study aims to understand this 3-way relationship by studying the population covariance of resting-state functional connectivity, cortical thickness, and behavioral/demographic measures in a large cohort of individuals. Using a data-driven canonical correlation analysis, we found that maximal pairwise correlations between the three modalities are approximately along the same direction across subjects, which is characterized by the change of the overall positive-negative trait of human behavior. More importantly, this behavioral change is associated with a divergent modulation of both resting-state connectivity and cortical thickness across cortical hierarchies</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Jul</publication><modification>2025-04-03T23:44:13.433Z</modification><creation>2022-02-10T19:38:57.88Z</creation></dates><accession>S-EPMC7311192</accession><cross_references><pubmed>32302765</pubmed><doi>10.1016/j.neuroimage.2020.116853</doi></cross_references></HashMap>