001     1042338
005     20250804115231.0
024 7 _ |a 10.1016/j.smrv.2025.102093
|2 doi
024 7 _ |a 1087-0792
|2 ISSN
024 7 _ |a 1532-2955
|2 ISSN
024 7 _ |a 10.34734/FZJ-2025-02539
|2 datacite_doi
024 7 _ |a 40349510
|2 pmid
024 7 _ |a WOS:001491053900001
|2 WOS
037 _ _ |a FZJ-2025-02539
082 _ _ |a 780
100 1 _ |a Peng, Chen
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Neural correlates of insomnia with depression and anxiety from a neuroimaging perspective: A systematic review
260 _ _ |a Kidlington, Oxford [u.a.]
|c 2025
|b Elsevier
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1753771094_9024
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Insomnia affects a substantial proportion of the population and frequently co-occurs with mental illnesses including depression and anxiety. However, the neurobiological correlates of these disorders remain unclear. Here we review magnetic resonance imaging (MRI) studies assessing structural and functional brain associations with depressive and anxiety symptoms in insomnia disorder (ID; n = 38), insomnia symptoms in depressive and anxiety disorders (n = 14), and these symptoms in the general populations (n = 3). The studies on insomnia disorder consistently showed overlapping (salience network: insula and anterior cingulate cortex) and differential MRI correlation patterns between depressive (thalamus, orbitofrontal cortex and its associated functional connectivity) and anxiety (functional connectivity associated with default mode network) symptoms. The insula was also consistently identified as indicating the severity of insomnia symptoms in depressive disorder. In contrast, findings for other regions related to insomnia symptoms in both depressive and anxiety disorders were generally inconsistent across studies, partly due to variations in methods and patient cohorts. In the general population, brain regions in the default mode network provided a functional link between insomnia and depressive symptoms. These findings underscore both the shared and distinct neural correlates among depression, anxiety, and insomnia, providing potential avenues for the clinical management of these conditions.
536 _ _ |a 5253 - Neuroimaging (POF4-525)
|0 G:(DE-HGF)POF4-5253
|c POF4-525
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Wang, Kai
|0 P:(DE-HGF)0
|b 1
|e Corresponding author
700 1 _ |a Wang, Jinyu
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Wassing, Rick
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Eickhoff, Simon B.
|0 P:(DE-Juel1)131678
|b 4
700 1 _ |a Tahmasian, Masoud
|0 P:(DE-Juel1)188400
|b 5
700 1 _ |a Chen, Ji
|0 P:(DE-Juel1)171414
|b 6
|e Corresponding author
773 _ _ |a 10.1016/j.smrv.2025.102093
|g Vol. 81, p. 102093 -
|0 PERI:(DE-600)2010032-2
|p 102093 -
|t Sleep medicine reviews
|v 81
|y 2025
|x 1087-0792
856 4 _ |u https://juser.fz-juelich.de/record/1042338/files/Manuscript-R1-Clean.pdf
|y Published on 2025-05-02. Available in OpenAccess from 2026-05-02.
909 C O |o oai:juser.fz-juelich.de:1042338
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Institute of Artificial Intelligence, Hefei, China; Anhui Institute of Translational Medicine, Hefei, China
|0 I:(DE-HGF)0
|b 1
|6 P:(DE-HGF)0
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)131678
910 1 _ |a HHU Düsseldorf
|0 I:(DE-HGF)0
|b 4
|6 P:(DE-Juel1)131678
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)188400
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)171414
910 1 _ |a School of Psychology, Shanghai Jiao Tong University, Shanghai, China. Electronic address: chen.ji@sjtu.edu.cn
|0 I:(DE-HGF)0
|b 6
|6 P:(DE-Juel1)171414
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5253
|x 0
914 1 _ |y 2025
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-13
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-13
915 _ _ |a Embargoed OpenAccess
|0 StatID:(DE-HGF)0530
|2 StatID
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b SLEEP MED REV : 2022
|d 2024-12-13
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b SLEEP MED REV : 2022
|d 2024-12-13
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-13
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2024-12-13
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2024-12-13
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-13
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21