001020263 001__ 1020263
001020263 005__ 20250204113744.0
001020263 0247_ $$2doi$$a10.1001/jamanetworkopen.2023.56787
001020263 0247_ $$2datacite_doi$$a10.34734/FZJ-2024-00019
001020263 0247_ $$2pmid$$a38372997
001020263 0247_ $$2WOS$$aWOS:001174447500006
001020263 037__ $$aFZJ-2024-00019
001020263 082__ $$a610
001020263 1001_ $$0P:(DE-Juel1)177727$$aDukart, Jürgen$$b0$$eCorresponding author
001020263 245__ $$aLifetime exposure to depression and neuroimaging measures of brain structure and function
001020263 260__ $$aChicago, Ill.$$bAmerican Medical Association$$c2024
001020263 3367_ $$2DRIVER$$aarticle
001020263 3367_ $$2DataCite$$aOutput Types/Journal article
001020263 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1711346098_7892
001020263 3367_ $$2BibTeX$$aARTICLE
001020263 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001020263 3367_ $$00$$2EndNote$$aJournal Article
001020263 520__ $$aImportance Despite decades of neuroimaging studies reporting brain structural and functional alterations in depression, discrepancies in findings across studies and limited convergence across meta-analyses have raised questions about the consistency and robustness of the observed brain phenotypes.Objective To investigate the associations between 6 operational criteria of lifetime exposure to depression and functional and structural neuroimaging measures.Design, Setting, and Participants This cross-sectional study analyzed data from a UK Biobank cohort of individuals aged 45 to 80 years who were enrolled between January 1, 2014, and December 31, 2018. Participants included individuals with a lifetime exposure to depression and matched healthy controls without indications of psychosis, mental illness, behavior disorder, and disease of the nervous system. Six operational criteria of lifetime exposure to depression were evaluated: help seeking for depression; self-reported depression; antidepressant use; depression definition by Smith et al; hospital International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnosis codes F32 and F33; and Composite International Diagnostic Interview Short Form score. Six increasingly restrictive depression definitions and groups were defined based on the 6 depression criteria, ranging from meeting only 1 criterion to meeting all 6 criteria. Data were analyzed between January and October 2022.Main Outcomes and Measures Functional measures were calculated using voxel-wise fractional amplitude of low-frequency fluctuation (fALFF), global correlation (GCOR), and local correlation (LCOR). Structural measures were calculated using gray matter volume (GMV).Results The study included 20 484 individuals with lifetime depression (12 645 females [61.7%]; mean [SD] age, 63.91 [7.60] years) and 25 462 healthy controls (14 078 males [55.3%]; mean [SD] age, 65.05 [7.8] years). Across all depression criteria, individuals with lifetime depression displayed regionally consistent decreases in fALFF, LCOR, and GCOR (Cohen d range, −0.53 [95% CI, −0.88 to −0.15] to −0.04 [95% CI, −0.07 to −0.01]) but not in GMV (Cohen d range, −0.47 [95 % CI, −0.75 to −0.12] to 0.26 [95% CI, 0.15-0.37]). Hospital ICD-10 diagnosis codes F32 and F33 (median [IQR] difference in effect sizes, −0.14 [−0.17 to −0.11]) and antidepressant use (median [IQR] difference in effect sizes, −0.12 [−0.16 to −0.10]) were criteria associated with the most pronounced alterations.Conclusions and Relevance Results of this cross-sectional study indicate that lifetime exposure to depression was associated with robust functional changes, with a more restrictive depression definition revealing more pronounced alterations. Different inclusion criteria for depression may be associated with the substantial variation in imaging findings reported in the literature.
001020263 536__ $$0G:(DE-HGF)POF4-5253$$a5253 - Neuroimaging (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001020263 7001_ $$0P:(DE-Juel1)190115$$aWang, Xinyi$$b1
001020263 7001_ $$0P:(DE-Juel1)131684$$aHoffstaedter, Felix$$b2
001020263 7001_ $$0P:(DE-Juel1)184653$$aKasper, Jan$$b3
001020263 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b4
001020263 7001_ $$0P:(DE-Juel1)172843$$aPatil, Kaustubh$$b5
001020263 773__ $$0PERI:(DE-600)2931249-8$$a10.1001/jamanetworkopen.2023.56787$$n2$$pe2356787$$tJAMA network open$$v7$$x2574-3805$$y2024
001020263 8564_ $$uhttps://juser.fz-juelich.de/record/1020263/files/Invoice_APC600488215.pdf
001020263 8564_ $$uhttps://juser.fz-juelich.de/record/1020263/files/Invoice_APC600488215.gif?subformat=icon$$xicon
001020263 8564_ $$uhttps://juser.fz-juelich.de/record/1020263/files/Invoice_APC600488215.jpg?subformat=icon-1440$$xicon-1440
001020263 8564_ $$uhttps://juser.fz-juelich.de/record/1020263/files/Invoice_APC600488215.jpg?subformat=icon-180$$xicon-180
001020263 8564_ $$uhttps://juser.fz-juelich.de/record/1020263/files/Invoice_APC600488215.jpg?subformat=icon-640$$xicon-640
001020263 8564_ $$uhttps://juser.fz-juelich.de/record/1020263/files/wang_2024_oi_231673_1707777786.93419.pdf$$yOpenAccess
001020263 8564_ $$uhttps://juser.fz-juelich.de/record/1020263/files/wang_2024_oi_231673_1707777786.93419.gif?subformat=icon$$xicon$$yOpenAccess
001020263 8564_ $$uhttps://juser.fz-juelich.de/record/1020263/files/wang_2024_oi_231673_1707777786.93419.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
001020263 8564_ $$uhttps://juser.fz-juelich.de/record/1020263/files/wang_2024_oi_231673_1707777786.93419.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
001020263 8564_ $$uhttps://juser.fz-juelich.de/record/1020263/files/wang_2024_oi_231673_1707777786.93419.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
001020263 8767_ $$8APC600488215$$92024-01-02$$a1200200032$$d2024-01-12$$eAPC$$jZahlung erfolgt$$zUSD 3000,-
001020263 909CO $$ooai:juser.fz-juelich.de:1020263$$pdnbdelivery$$popenCost$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire
001020263 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)177727$$aForschungszentrum Jülich$$b0$$kFZJ
001020263 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)177727$$a HHU Düsseldorf$$b0
001020263 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)190115$$aForschungszentrum Jülich$$b1$$kFZJ
001020263 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)190115$$a School of Biological Sciences and Medical Engineering, Child Development, and Learning Science, Key Laboratory of Ministry of Education, Southeast University, Nanjing, China$$b1
001020263 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131684$$aForschungszentrum Jülich$$b2$$kFZJ
001020263 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131684$$a HHU Düsseldorf$$b2
001020263 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)184653$$aForschungszentrum Jülich$$b3$$kFZJ
001020263 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)184653$$a HHU Düsseldorf$$b3
001020263 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131678$$aForschungszentrum Jülich$$b4$$kFZJ
001020263 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131678$$aHHU Düsseldorf$$b4
001020263 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172843$$aForschungszentrum Jülich$$b5$$kFZJ
001020263 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)172843$$a HHU Düsseldorf$$b5
001020263 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5253$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001020263 9141_ $$y2024
001020263 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set
001020263 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding
001020263 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten
001020263 915pc $$0PC:(DE-HGF)0003$$2APC$$aDOAJ Journal
001020263 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2023-10-27
001020263 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001020263 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2021-10-18T13:36:16Z
001020263 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2021-10-18T13:36:16Z
001020263 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2023-10-27
001020263 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2023-10-27
001020263 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001020263 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Anonymous peer review$$d2021-10-18T13:36:16Z
001020263 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2023-10-27
001020263 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJAMA NETW OPEN : 2022$$d2024-12-09
001020263 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-09
001020263 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-09
001020263 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-09
001020263 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2024-12-09
001020263 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2024-12-09
001020263 915__ $$0StatID:(DE-HGF)9910$$2StatID$$aIF >= 10$$bJAMA NETW OPEN : 2022$$d2024-12-09
001020263 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
001020263 980__ $$ajournal
001020263 980__ $$aVDB
001020263 980__ $$aUNRESTRICTED
001020263 980__ $$aI:(DE-Juel1)INM-7-20090406
001020263 980__ $$aAPC
001020263 9801_ $$aAPC
001020263 9801_ $$aFullTexts