<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>15</volume><submitter>Yadav Y</submitter><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Geometry-inspired notions of discrete Ricci curvature have been successfully used as markers of disrupted brain connectivity in neuropsychiatric disorders, but their ability to characterize age-related changes in functional connectivity is unexplored.&lt;h4>Methods&lt;/h4>We apply Forman-Ricci curvature and Ollivier-Ricci curvature to compare functional connectivity networks of healthy young and older subjects from the Max Planck Institute Leipzig Study for Mind-Body-Emotion Interactions (MPI-LEMON) dataset (&lt;i>N&lt;/i> = 225).&lt;h4>Results&lt;/h4>We found that both Forman-Ricci curvature and Ollivier-Ricci curvature can capture whole-brain and region-level age-related differences in functional connectivity. Meta-analysis decoding demonstrated that those brain regions with age-relat</pubmed_abstract><journal>Frontiers in aging neuroscience</journal><pagination>1120846</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10244515</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Discrete Ricci curvatures capture age-related changes in human brain functional connectivity networks.</pubmed_title><pmcid>PMC10244515</pmcid><pubmed_authors>Elumalai P</pubmed_authors><pubmed_authors>Williams N</pubmed_authors><pubmed_authors>Samal A</pubmed_authors><pubmed_authors>Yadav Y</pubmed_authors><pubmed_authors>Jost J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Discrete Ricci curvatures capture age-related changes in human brain functional connectivity networks.</name><description>&lt;h4>Introduction&lt;/h4>Geometry-inspired notions of discrete Ricci curvature have been successfully used as markers of disrupted brain connectivity in neuropsychiatric disorders, but their ability to characterize age-related changes in functional connectivity is unexplored.&lt;h4>Methods&lt;/h4>We apply Forman-Ricci curvature and Ollivier-Ricci curvature to compare functional connectivity networks of healthy young and older subjects from the Max Planck Institute Leipzig Study for Mind-Body-Emotion Interactions (MPI-LEMON) dataset (&lt;i>N&lt;/i> = 225).&lt;h4>Results&lt;/h4>We found that both Forman-Ricci curvature and Ollivier-Ricci curvature can capture whole-brain and region-level age-related differences in functional connectivity. Meta-analysis decoding demonstrated that those brain regions with age-relat</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2025-04-27T02:20:22.658Z</modification><creation>2025-04-06T18:31:03.058Z</creation></dates><accession>S-EPMC10244515</accession><cross_references><pubmed>37293668</pubmed><doi>10.3389/fnagi.2023.1120846</doi></cross_references></HashMap>