<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Baller EB</submitter><funding>NIBIB NIH HHS</funding><funding>NIA NIH HHS</funding><funding>NIMH NIH HHS</funding><funding>NINDS NIH HHS</funding><pagination>1072-1080</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11101593</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>95(12)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Multiple sclerosis (MS) is an immune-mediated neurological disorder, and up to 50% of patients experience depression. We investigated how white matter network disruption is related to depression in MS.&lt;h4>Methods&lt;/h4>Using electronic health records, 380 participants with MS were identified. Depressed individuals (MS+Depression group; n = 232) included persons who had an ICD-10 depression diagnosis, had a prescription for antidepressant medication, or screened positive via Patient Health Questionnaire (PHQ)-2 or PHQ-9. Age- and sex-matched nondepressed individuals with MS (MS-Depression group; n = 148) included persons who had no prior depression diagnosis, had no psychiatric medication prescriptions, and were asymptomatic on PHQ-2 or PHQ-9. Research-quality 3T structural</pubmed_abstract><journal>Biological psychiatry</journal><pubmed_title>Mapping the Relationship of White Matter Lesions to Depression in Multiple Sclerosis.</pubmed_title><pmcid>PMC11101593</pmcid><funding_grant_id>R01 NS112274</funding_grant_id><funding_grant_id>R01 NS085211</funding_grant_id><funding_grant_id>R01 MH113550</funding_grant_id><funding_grant_id>R37 MH125829</funding_grant_id><funding_grant_id>RF1 MH116920</funding_grant_id><funding_grant_id>R01 MH123550</funding_grant_id><funding_grant_id>R00 MH127293</funding_grant_id><funding_grant_id>T32 MH019112</funding_grant_id><funding_grant_id>K23 MH133118</funding_grant_id><funding_grant_id>R01 MH120482</funding_grant_id><funding_grant_id>K99 MH127293</funding_grant_id><funding_grant_id>R01 MH112847</funding_grant_id><funding_grant_id>U24 NS130411</funding_grant_id><funding_grant_id>R01 EB022573</funding_grant_id><funding_grant_id>R21 AG070434</funding_grant_id><funding_grant_id>L30 MH127652</funding_grant_id><pubmed_authors>Robert-Fitzgerald T</pubmed_authors><pubmed_authors>Shinohara RT</pubmed_authors><pubmed_authors>Bar-Or A</pubmed_authors><pubmed_authors>Sweeney EM</pubmed_authors><pubmed_authors>Fox MD</pubmed_authors><pubmed_authors>Rautman V</pubmed_authors><pubmed_authors>Baller EB</pubmed_authors><pubmed_authors>Cieslak M</pubmed_authors><pubmed_authors>Covitz SC</pubmed_authors><pubmed_authors>Larsen BS</pubmed_authors><pubmed_authors>Satterthwaite TD</pubmed_authors><pubmed_authors>Schindler MK</pubmed_authors><pubmed_authors>Markowitz CE</pubmed_authors><pubmed_authors>Perrone CM</pubmed_authors><pubmed_authors>Elahi A</pubmed_authors><pubmed_authors>Manning AR</pubmed_authors><pubmed_authors>Seitz MM</pubmed_authors><pubmed_authors>Detre JA</pubmed_authors><pubmed_authors>Martin ML</pubmed_authors></additional><is_claimable>false</is_claimable><name>Mapping the Relationship of White Matter Lesions to Depression in Multiple Sclerosis.</name><description>&lt;h4>Background&lt;/h4>Multiple sclerosis (MS) is an immune-mediated neurological disorder, and up to 50% of patients experience depression. We investigated how white matter network disruption is related to depression in MS.&lt;h4>Methods&lt;/h4>Using electronic health records, 380 participants with MS were identified. Depressed individuals (MS+Depression group; n = 232) included persons who had an ICD-10 depression diagnosis, had a prescription for antidepressant medication, or screened positive via Patient Health Questionnaire (PHQ)-2 or PHQ-9. Age- and sex-matched nondepressed individuals with MS (MS-Depression group; n = 148) included persons who had no prior depression diagnosis, had no psychiatric medication prescriptions, and were asymptomatic on PHQ-2 or PHQ-9. Research-quality 3T structural</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jun</publication><modification>2025-07-26T03:07:11.039Z</modification><creation>2025-07-26T03:07:11.039Z</creation></dates><accession>S-EPMC11101593</accession><cross_references><pubmed>37981178</pubmed><doi>10.1016/j.biopsych.2023.11.010</doi></cross_references></HashMap>