<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Westlin C</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Clinical trajectories in functional neurological disorder (FND) are variable, and the mechanisms underlying this heterogeneity remain poorly understood.&lt;h4>Objective&lt;/h4>This longitudinal study examined resting-state functional connectivity predictors and mechanisms of symptom change in FND.&lt;h4>Methods&lt;/h4>Thirty-two adults with FND (motor and/or seizure phenotypes) completed baseline questionnaires and a functional MRI (fMRI) session, followed by naturalistic treatment for 6.8±0.8 months. All participants completed follow-up questionnaires; 28 individuals completed a follow-up fMRI. At each timepoint, three graph-theory network metrics of functional connectivity were computed: weighted-degree (centrality), integration (&lt;i>between-network&lt;/i> connectivity), and segregati</pubmed_abstract><journal>medRxiv : the preprint server for health sciences</journal><pagination>2026.01.27.26344860</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12870675</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Functional Connectivity Predictors and Mechanisms of Symptom Change in Functional Neurological Disorder.</pubmed_title><pmcid>PMC12870675</pmcid><pubmed_authors>Stephen CD</pubmed_authors><pubmed_authors>Bleier C</pubmed_authors><pubmed_authors>MacLean J</pubmed_authors><pubmed_authors>Diez I</pubmed_authors><pubmed_authors>Adams C</pubmed_authors><pubmed_authors>Guthrie AJ</pubmed_authors><pubmed_authors>Ranford J</pubmed_authors><pubmed_authors>Godena E</pubmed_authors><pubmed_authors>Maggio J</pubmed_authors><pubmed_authors>Perez DL</pubmed_authors><pubmed_authors>Millstein D</pubmed_authors><pubmed_authors>Finkelstein SA</pubmed_authors><pubmed_authors>Freeburn J</pubmed_authors><pubmed_authors>Westlin C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Functional Connectivity Predictors and Mechanisms of Symptom Change in Functional Neurological Disorder.</name><description>&lt;h4>Background&lt;/h4>Clinical trajectories in functional neurological disorder (FND) are variable, and the mechanisms underlying this heterogeneity remain poorly understood.&lt;h4>Objective&lt;/h4>This longitudinal study examined resting-state functional connectivity predictors and mechanisms of symptom change in FND.&lt;h4>Methods&lt;/h4>Thirty-two adults with FND (motor and/or seizure phenotypes) completed baseline questionnaires and a functional MRI (fMRI) session, followed by naturalistic treatment for 6.8±0.8 months. All participants completed follow-up questionnaires; 28 individuals completed a follow-up fMRI. At each timepoint, three graph-theory network metrics of functional connectivity were computed: weighted-degree (centrality), integration (&lt;i>between-network&lt;/i> connectivity), and segregati</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Jan</publication><modification>2026-07-09T13:11:54.49Z</modification><creation>2026-07-09T13:09:44.799Z</creation></dates><accession>S-EPMC12870675</accession><cross_references><pubmed>41646801</pubmed><doi>10.64898/2026.01.27.26344860</doi></cross_references></HashMap>