001021996 001__ 1021996
001021996 005__ 20240226075418.0
001021996 0247_ $$2doi$$a10.1038/s41398-023-02540-0
001021996 0247_ $$2datacite_doi$$a10.34734/FZJ-2024-01134
001021996 0247_ $$2pmid$$a37460460
001021996 0247_ $$2WOS$$aWOS:001033443000001
001021996 037__ $$aFZJ-2024-01134
001021996 082__ $$a610
001021996 1001_ $$aJavaheripour, Nooshin$$b0
001021996 245__ $$aAltered brain dynamic in major depressive disorder: state and trait features
001021996 260__ $$aLondon$$bNature Publishing Group$$c2023
001021996 3367_ $$2DRIVER$$aarticle
001021996 3367_ $$2DataCite$$aOutput Types/Journal article
001021996 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1706686517_10065
001021996 3367_ $$2BibTeX$$aARTICLE
001021996 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001021996 3367_ $$00$$2EndNote$$aJournal Article
001021996 520__ $$aTemporal neural synchrony disruption can be linked to a variety of symptoms of major depressive disorder (MDD), including mood rigidity and the inability to break the cycle of negative emotion or attention biases. This might imply that altered dynamic neural synchrony may play a role in the persistence and exacerbation of MDD symptoms. Our study aimed to investigate the changes in whole-brain dynamic patterns of the brain functional connectivity and activity related to depression using the hidden Markov model (HMM) on resting-state functional magnetic resonance imaging (rs-fMRI) data. We compared the patterns of brain functional dynamics in a large sample of 314 patients with MDD (65.9% female; age (mean ± standard deviation): 35.9 ± 13.4) and 498 healthy controls (59.4% female; age: 34.0 ± 12.8). The HMM model was used to explain variations in rs-fMRI functional connectivity and averaged functional activity across the whole-brain by using a set of six unique recurring states. This study compared the proportion of time spent in each state and the average duration of visits to each state to assess stability between different groups. Compared to healthy controls, patients with MDD showed significantly higher proportional time spent and temporal stability in a state characterized by weak functional connectivity within and between all brain networks and relatively strong averaged functional activity of regions located in the somatosensory motor (SMN), salience (SN), and dorsal attention (DAN) networks. Both proportional time spent and temporal stability of this brain state was significantly associated with depression severity. Healthy controls, in contrast to the MDD group, showed proportional time spent and temporal stability in a state with relatively strong functional connectivity within and between all brain networks but weak averaged functional activity across the whole brain. These findings suggest that disrupted brain functional synchrony across time is present in MDD and associated with current depression severity.
001021996 536__ $$0G:(DE-HGF)POF4-5252$$a5252 - Brain Dysfunction and Plasticity (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001021996 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001021996 7001_ $$00000-0002-8809-4034$$aColic, Lejla$$b1
001021996 7001_ $$00000-0003-4749-3298$$aOpel, Nils$$b2
001021996 7001_ $$00000-0002-8320-5241$$aLi, Meng$$b3
001021996 7001_ $$0P:(DE-Juel1)178767$$aMaleki Balajoo, Somayeh$$b4$$ufzj
001021996 7001_ $$aChand, Tara$$b5
001021996 7001_ $$aVan der Meer, Johan$$b6
001021996 7001_ $$aKrylova, Marina$$b7
001021996 7001_ $$aIzyurov, Igor$$b8
001021996 7001_ $$aMeller, Tina$$b9
001021996 7001_ $$aGoltermann, Janik$$b10
001021996 7001_ $$aWinter, Nils R.$$b11
001021996 7001_ $$00000-0003-2177-7161$$aMeinert, Susanne$$b12
001021996 7001_ $$aGrotegerd, Dominik$$b13
001021996 7001_ $$aJansen, Andreas$$b14
001021996 7001_ $$aAlexander, Nina$$b15
001021996 7001_ $$aUsemann, Paula$$b16
001021996 7001_ $$aThomas-Odenthal, Florian$$b17
001021996 7001_ $$00000-0002-3250-7821$$aEvermann, Ulrika$$b18
001021996 7001_ $$00000-0002-0371-7686$$aWroblewski, Adrian$$b19
001021996 7001_ $$00000-0002-0526-8095$$aBrosch, Katharina$$b20
001021996 7001_ $$aStein, Frederike$$b21
001021996 7001_ $$00000-0001-6541-3795$$aHahn, Tim$$b22
001021996 7001_ $$00000-0002-9837-0944$$aStraube, Benjamin$$b23
001021996 7001_ $$00000-0002-0564-2497$$aKrug, Axel$$b24
001021996 7001_ $$aNenadić, Igor$$b25
001021996 7001_ $$aKircher, Tilo$$b26
001021996 7001_ $$aCroy, Ilona$$b27
001021996 7001_ $$aDannlowski, Udo$$b28
001021996 7001_ $$00000-0003-2296-0259$$aWagner, Gerd$$b29
001021996 7001_ $$00000-0001-7857-4483$$aWalter, Martin$$b30$$eCorresponding author
001021996 773__ $$0PERI:(DE-600)2609311-X$$a10.1038/s41398-023-02540-0$$gVol. 13, no. 1, p. 261$$n1$$p261$$tTranslational Psychiatry$$v13$$x2158-3188$$y2023
001021996 8564_ $$uhttps://juser.fz-juelich.de/record/1021996/files/s41398-023-02540-0.pdf$$yOpenAccess
001021996 8564_ $$uhttps://juser.fz-juelich.de/record/1021996/files/s41398-023-02540-0.gif?subformat=icon$$xicon$$yOpenAccess
001021996 8564_ $$uhttps://juser.fz-juelich.de/record/1021996/files/s41398-023-02540-0.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
001021996 8564_ $$uhttps://juser.fz-juelich.de/record/1021996/files/s41398-023-02540-0.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
001021996 8564_ $$uhttps://juser.fz-juelich.de/record/1021996/files/s41398-023-02540-0.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
001021996 909CO $$ooai:juser.fz-juelich.de:1021996$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
001021996 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)178767$$aForschungszentrum Jülich$$b4$$kFZJ
001021996 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5252$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001021996 9141_ $$y2023
001021996 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-10-26
001021996 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2023-10-26
001021996 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001021996 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bTRANSL PSYCHIAT : 2022$$d2023-10-26
001021996 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2023-05-02T09:09:41Z
001021996 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2023-05-02T09:09:41Z
001021996 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2023-10-26
001021996 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2023-10-26
001021996 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-10-26
001021996 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2023-10-26
001021996 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001021996 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Anonymous peer review$$d2023-05-02T09:09:41Z
001021996 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2023-10-26
001021996 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bTRANSL PSYCHIAT : 2022$$d2023-10-26
001021996 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-10-26
001021996 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2023-10-26
001021996 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-10-26
001021996 920__ $$lyes
001021996 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
001021996 980__ $$ajournal
001021996 980__ $$aVDB
001021996 980__ $$aUNRESTRICTED
001021996 980__ $$aI:(DE-Juel1)INM-7-20090406
001021996 9801_ $$aFullTexts