001     162695
005     20230915092401.0
024 7 _ |a 10.1038/s41598-021-98333-w
|2 doi
024 7 _ |a pmid:34556731
|2 pmid
024 7 _ |a pmc:PMC8460640
|2 pmc
024 7 _ |a altmetric:113999541
|2 altmetric
037 _ _ |a DZNE-2021-01352
041 _ _ |a English
082 _ _ |a 600
100 1 _ |a Heinzel, Stephan
|b 0
245 _ _ |a Polygenic risk for obsessive-compulsive disorder (OCD) predicts brain response during working memory task in OCD, unaffected relatives, and healthy controls.
260 _ _ |a [London]
|c 2021
|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 1655731121_9505
|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
500 _ _ |a CC BY
520 _ _ |a Alterations in frontal and parietal neural activations during working memory task performance have been suggested as a candidate endophenotype of obsessive-compulsive disorder (OCD) in studies involving first-degree relatives. However, the direct link between genetic risk for OCD and neuro-functional alterations during working memory performance has not been investigated to date. Thus, the aim of the current functional magnetic resonance imaging (fMRI) study was to test the direct association between polygenic risk for OCD and neural activity during the performance of a numeric n-back task with four working memory load conditions in 128 participants, including patients with OCD, unaffected first-degree relatives of OCD patients, and healthy controls. Behavioral results show a significant performance deficit at high working memory load in both patients with OCD and first-degree relatives (p < 0.05). A whole-brain analysis of the fMRI data indicated decreased neural activity in bilateral inferior parietal lobule and dorsolateral prefrontal cortex in both patients and relatives. Most importantly, OCD polygenic risk scores predicted neural activity in orbitofrontal cortex. Results indicate that genetic risk for OCD can partly explain alterations in brain response during working memory performance, supporting the notion of a neuro-functional endophenotype for OCD.
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, PubMed, , Journals: pub.dzne.de
650 _ 2 |a Adolescent
|2 MeSH
650 _ 2 |a Adult
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Brain Mapping: methods
|2 MeSH
650 _ 2 |a Dorsolateral Prefrontal Cortex: diagnostic imaging
|2 MeSH
650 _ 2 |a Dorsolateral Prefrontal Cortex: physiopathology
|2 MeSH
650 _ 2 |a Family
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Genetic Predisposition to Disease
|2 MeSH
650 _ 2 |a Healthy Volunteers
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Magnetic Resonance Imaging
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Memory, Short-Term: physiology
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Multifactorial Inheritance
|2 MeSH
650 _ 2 |a Nerve Net: diagnostic imaging
|2 MeSH
650 _ 2 |a Nerve Net: physiopathology
|2 MeSH
650 _ 2 |a Obsessive-Compulsive Disorder: diagnosis
|2 MeSH
650 _ 2 |a Obsessive-Compulsive Disorder: genetics
|2 MeSH
650 _ 2 |a Obsessive-Compulsive Disorder: physiopathology
|2 MeSH
650 _ 2 |a Parietal Lobe: diagnostic imaging
|2 MeSH
650 _ 2 |a Parietal Lobe: physiopathology
|2 MeSH
650 _ 2 |a Risk Assessment: methods
|2 MeSH
650 _ 2 |a Risk Assessment: statistics & numerical data
|2 MeSH
650 _ 2 |a Young Adult
|2 MeSH
700 1 _ |a Kaufmann, Christian
|b 1
700 1 _ |a Grützmann, Rosa
|b 2
700 1 _ |a Klawohn, Julia
|b 3
700 1 _ |a Riesel, Anja
|b 4
700 1 _ |a Bey, Katharina
|0 P:(DE-2719)2812977
|b 5
|u dzne
700 1 _ |a Heilmann-Heimbach, Stefanie
|b 6
700 1 _ |a Weinhold, Leonie
|b 7
700 1 _ |a Ramirez, Alfredo
|0 P:(DE-2719)2812825
|b 8
|u dzne
700 1 _ |a Wagner, Michael
|0 P:(DE-2719)2000057
|b 9
|u dzne
700 1 _ |a Kathmann, Norbert
|b 10
773 _ _ |a 10.1038/s41598-021-98333-w
|g Vol. 11, no. 1, p. 18914
|0 PERI:(DE-600)2615211-3
|n 1
|p 18914
|t Scientific reports
|v 11
|y 2021
|x 2045-2322
856 4 _ |y OpenAccess
|u https://pub.dzne.de/record/162695/files/DZNE-2021-01352.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://pub.dzne.de/record/162695/files/DZNE-2021-01352.pdf?subformat=pdfa
909 C O |o oai:pub.dzne.de:162695
|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 5
|6 P:(DE-2719)2812977
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 8
|6 P:(DE-2719)2812825
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 9
|6 P:(DE-2719)2000057
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 2021
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)1011201
|k AG Wagner
|l Neuropsychology
|x 0
920 1 _ |0 I:(DE-2719)1011101
|k Patient studies, Bonn
|l Patient studies
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-2719)1011201
980 _ _ |a I:(DE-2719)1011101
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21