001     1006698
005     20231027114401.0
024 7 _ |a 10.1016/j.neuroimage.2023.120083
|2 doi
024 7 _ |a 1053-8119
|2 ISSN
024 7 _ |a 1095-9572
|2 ISSN
024 7 _ |a 2128/34298
|2 Handle
024 7 _ |a 37015270
|2 pmid
024 7 _ |a WOS:000981363300001
|2 WOS
024 7 _ |a 10.34734/FZJ-2023-01787
|2 datacite_doi
037 _ _ |a FZJ-2023-01787
082 _ _ |a 610
100 1 _ |a Kröll, Jean-Philippe
|0 P:(DE-Juel1)176972
|b 0
|e Corresponding author
245 _ _ |a Naturalistic viewing increases individual identifiability based on connectivity within functional brain networks
260 _ _ |a Orlando, Fla.
|c 2023
|b Academic Press
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 1689256234_4734
|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 Naturalistic viewing (NV) is currently considered a promising paradigm for studying individual differences in functional brain organization. While whole brain functional connectivity (FC) under NV has been relatively well characterized, so far little work has been done on a network level.Here, we extend current knowledge by characterizing the influence of NV on FC in fourteen meta-analytically derived brain networks considering three different movie stimuli in comparison to resting-state (RS). We show that NV increases identifiability of individuals over RS based on functional connectivity in certain, but not all networks. Furthermore, movie stimuli including a narrative appear more distinct from RS. In addition, we assess individual variability in network FC by comparing within- and between-subject similarity during NV and RS. We show that NV can evoke individually distinct NFC patterns by increasing inter-subject variability while retaining within-subject similarity. Crucially, our results highlight that this effect is not observable across all networks, but rather dependent on the network-stimulus combination. Our results confirm that NV can improve the detection of individual differences over RS and underline the importance of selecting the appropriate combination of movie and cognitive network for the research question at hand.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Friedrich, Patrick
|0 P:(DE-Juel1)185938
|b 1
700 1 _ |a Li, Xuan
|0 P:(DE-Juel1)184969
|b 2
700 1 _ |a Patil, Kaustubh R.
|0 P:(DE-Juel1)172843
|b 3
700 1 _ |a Mochalski, Lisa
|0 P:(DE-Juel1)174198
|b 4
700 1 _ |a Waite, Laura
|0 P:(DE-Juel1)178653
|b 5
700 1 _ |a Qian, Xing
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Chee, Michael WL
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Zhou, Juan Helen
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Eickhoff, Simon
|0 P:(DE-Juel1)131678
|b 9
700 1 _ |a Weis, Susanne
|0 P:(DE-Juel1)172811
|b 10
773 _ _ |a 10.1016/j.neuroimage.2023.120083
|g Vol. 273, p. 120083 -
|0 PERI:(DE-600)1471418-8
|p 120083 -
|t NeuroImage
|v 273
|y 2023
|x 1053-8119
856 4 _ |u https://juser.fz-juelich.de/record/1006698/files/Invoice_OAD0000299669.pdf
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/1006698/files/1-s2.0-S105381192300229X-main.pdf
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/1006698/files/Manuscript_Kroell.pdf
909 C O |o oai:juser.fz-juelich.de:1006698
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)176972
910 1 _ |a HHU Düsseldorf
|0 I:(DE-HGF)0
|b 0
|6 P:(DE-Juel1)176972
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)185938
910 1 _ |a HHU Düsseldorf
|0 I:(DE-HGF)0
|b 1
|6 P:(DE-Juel1)185938
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)184969
910 1 _ |a HHU Düsseldorf
|0 I:(DE-HGF)0
|b 2
|6 P:(DE-Juel1)184969
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)172843
910 1 _ |a HHU Düsseldorf
|0 I:(DE-HGF)0
|b 3
|6 P:(DE-Juel1)172843
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)174198
910 1 _ |a HHU Düsseldorf
|0 I:(DE-HGF)0
|b 4
|6 P:(DE-Juel1)174198
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)178653
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 9
|6 P:(DE-Juel1)131678
910 1 _ |a HHU Düsseldorf
|0 I:(DE-HGF)0
|b 9
|6 P:(DE-Juel1)131678
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 10
|6 P:(DE-Juel1)172811
910 1 _ |a HHU Düsseldorf
|0 I:(DE-HGF)0
|b 10
|6 P:(DE-Juel1)172811
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)POF4-5251
|x 0
914 1 _ |y 2023
915 p c |a APC keys set
|0 PC:(DE-HGF)0000
|2 APC
915 p c |a Local Funding
|0 PC:(DE-HGF)0001
|2 APC
915 p c |a DFG OA Publikationskosten
|0 PC:(DE-HGF)0002
|2 APC
915 p c |a DOAJ Journal
|0 PC:(DE-HGF)0003
|2 APC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2022-11-12
915 _ _ |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
|0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2022-11-12
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2022-11-12
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2022-11-12
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2023-05-02T08:47:40Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2023-05-02T08:47:40Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2023-05-02T08:47:40Z
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2023-10-21
|w ger
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NEUROIMAGE : 2022
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-10-21
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2023-10-21
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b NEUROIMAGE : 2022
|d 2023-10-21
920 _ _ |l yes
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 _ _ |a APC
980 1 _ |a APC
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21