Home > Publications Database > Negative affective burden is associated with higher resting-state functional connectivity in subjective cognitive decline > print

001     163691
005     20230915090531.0
024 7 _ |a pmc:PMC9007949
|2 pmc
024 7 _ |a 10.1038/s41598-022-10179-y
|2 doi
024 7 _ |a altmetric:126701178
|2 altmetric
024 7 _ |a pmid:35418579
|2 pmid
037 _ _ |a DZNE-2022-00435
041 _ _ |a English
082 _ _ |a 600
100 1 _ |a Schwarz, Claudia
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Negative affective burden is associated with higher resting-state functional connectivity in subjective cognitive decline
260 _ _ |a [London]
|c 2022
|b Macmillan Publishers Limited, part of Springer Nature
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 1651823509_7063
|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 Subjective cognitive decline (SCD), as expressed by older adults, is associated with negative affect, which, in turn, is a likely risk factor for Alzheimer's Disease (AD). This study assessed the associations between negative affective burden, cognitive functioning, and functional connectivity in networks vulnerable to AD in the context of SCD. Older participants (60-90 years) with SCD (n = 51) and healthy controls (n = 50) were investigated in a cross-sectional study. Subclinical negative affective burden, quantified through a composite of self-reported negative affective factors, was related to cognitive functioning (self-perceived and objective) and functional connectivity. Seed-to-voxel analyses were carried out in default mode network (DMN) and salience network (SAL) nodes using resting-state functional magnetic resonance imaging. Greater negative affective burden was associated with lower self-perceived cognitive functioning and lower between-network functional connectivity of DMN and SAL nodes in the total sample. In addition, there was a significant moderation of SCD status. Greater negative affective burden related to higher functional connectivity within DMN (posterior cingulate-to-precuneus) and within SAL (anterior cingulate-to-insula) nodes in the SCD group, whereas in controls the inverse association was found. We show that negative affective burden is associated with functional brain alterations in older adults, regardless of SCD status. Specifically in the SCD phenotype, greater negative affective burden relates to higher functional connectivity within brain networks vulnerable to AD. Our findings imply that negative affective burden should be considered a potentially modifiable target for early intervention.
536 _ _ |a 353 - Clinical and Health Care Research (POF4-353)
|0 G:(DE-HGF)POF4-353
|c POF4-353
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: pub.dzne.de
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Alzheimer Disease
|2 MeSH
650 _ 2 |a Brain: diagnostic imaging
|2 MeSH
650 _ 2 |a Cognitive Dysfunction: diagnostic imaging
|2 MeSH
650 _ 2 |a Cross-Sectional Studies
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Magnetic Resonance Imaging
|2 MeSH
650 _ 2 |a Neural Pathways
|2 MeSH
650 _ 2 |a Neuropsychological Tests
|2 MeSH
700 1 _ |a Benson, Gloria S.
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Antonenko, Daria
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Horn, Nora
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Koebe, Theresa
|0 P:(DE-2719)9000622
|b 4
|u dzne
700 1 _ |a Klimecki, Olga
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Sommer, Werner
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Wirth, Miranka
|0 P:(DE-2719)2814122
|b 7
|e Corresponding author
|u dzne
700 1 _ |a Flöel, Agnes
|0 P:(DE-2719)2812683
|b 8
|e Last author
|u dzne
773 _ _ |a 10.1038/s41598-022-10179-y
|g Vol. 12, no. 1, p. 6212
|0 PERI:(DE-600)2615211-3
|n 1
|p 6212
|t Scientific reports
|v 12
|y 2022
|x 2045-2322
856 4 _ |u https://www.nature.com/articles/s41598-022-10179-y
856 4 _ |u https://pub.dzne.de/record/163691/files/Schwarz%20et%20al..%202022.%20Scientific%20Reports.pdf
|y OpenAccess
856 4 _ |u https://pub.dzne.de/record/163691/files/Schwarz%20et%20al..%202022.%20Scientific%20Reports.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:pub.dzne.de:163691
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 4
|6 P:(DE-2719)9000622
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 7
|6 P:(DE-2719)2814122
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 8
|6 P:(DE-2719)2812683
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-353
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Clinical and Health Care Research
|x 0
914 1 _ |y 2022
915 _ _ |a Creative Commons Attribution CC BY (No Version)
|0 LIC:(DE-HGF)CCBYNV
|2 V:(DE-HGF)
|b DOAJ
|d 2021-02-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-02-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-02-03
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-02-03
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2021-02-03
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2021-02-03
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b SCI REP-UK : 2021
|d 2023-03-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-03-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-03-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2022-08-08T09:38:07Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2022-08-08T09:38:07Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Blind peer review
|d 2022-08-08T09:38:07Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-03-30
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-03-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-03-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-03-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-03-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2023-03-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2023-03-30
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2023-03-30
920 1 _ |0 I:(DE-2719)1710011
|k AG Wirth
|l Brain aging: Biomarkers, lifestyle factors and prevention of dementia
|x 0
920 1 _ |0 I:(DE-2719)1710008
|k AG Donix
|l Clinical planning and intersite group
|x 1
920 1 _ |0 I:(DE-2719)1510100
|k AG Teipel
|l Clinical Dementia Research Rostock /Greifswald
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-2719)1710011
980 _ _ |a I:(DE-2719)1710008
980 _ _ |a I:(DE-2719)1510100
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21