001     1034750
005     20250203103358.0
024 7 _ |a 10.1101/2024.05.15.594266
|2 doi
037 _ _ |a FZJ-2024-07507
100 1 _ |a Kröll, Jean-Philippe
|0 P:(DE-Juel1)176972
|b 0
|e Corresponding author
245 _ _ |a Test–Retest Reliability of Meta Analytic Networks During Naturalistic Viewing
260 _ _ |c 2024
336 7 _ |a Preprint
|b preprint
|m preprint
|0 PUB:(DE-HGF)25
|s 1736233403_19348
|2 PUB:(DE-HGF)
336 7 _ |a WORKING_PAPER
|2 ORCID
336 7 _ |a Electronic Article
|0 28
|2 EndNote
336 7 _ |a preprint
|2 DRIVER
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a Output Types/Working Paper
|2 DataCite
520 _ _ |a Functional connectivity analyses have given considerable insights into human brain function and organization. As research moves towards clinical application, test-retest reliability has become a main focus of the field. So far, the majority of studies have relied on resting-state paradigms to examine brain connectivity, based on its low demand and ease of implementation. However, the reliability of resting-state measures is mostly moderate, potentially due to its unconstrained nature. Recently, naturalistic viewing paradigms have gained popularity because they probe the human brain under more ecologically valid conditions, thereby possibly increasing reliability. Therefore, we here compared the reliability of graph metrics extracted from resting-state and naturalistic viewing in functional networks, across two sessions. We show that naturalistic viewing can increase reliability over resting- state, but that its effect varies between stimuli and networks. Furthermore, we demonstrate that the effect of naturalistic viewing differs between two cohorts with Asian and European cultural backgrounds. Taken together, our study encourages the use of naturalistic viewing to increase reliability, but emphasizes the need to carefully select the appropriate stimulus and network for the respective research question.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
536 _ _ |a DFG project G:(GEPRIS)491111487 - Open-Access-Publikationskosten / 2025 - 2027 / Forschungszentrum Jülich (OAPKFZJ) (491111487)
|0 G:(GEPRIS)491111487
|c 491111487
|x 1
588 _ _ |a Dataset connected to DataCite
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 Nurislamova, Yulia
|0 P:(DE-Juel1)198896
|b 3
700 1 _ |a Kraljevic, Nevena
|0 P:(DE-Juel1)176971
|b 4
700 1 _ |a Geiger, Anna
|0 P:(DE-Juel1)176902
|b 5
700 1 _ |a Mans, Julia
|0 P:(DE-Juel1)159438
|b 6
700 1 _ |a Waite, Laura
|0 P:(DE-Juel1)178653
|b 7
700 1 _ |a Caspers, Julian
|0 P:(DE-Juel1)144344
|b 8
700 1 _ |a Qian, Xing
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Chee, Michael WL
|0 P:(DE-HGF)0
|b 10
700 1 _ |a Zhou, Juan Helen
|0 P:(DE-HGF)0
|b 11
700 1 _ |a Eickhoff, Simon
|0 P:(DE-Juel1)131678
|b 12
700 1 _ |a Weis, Susanne
|0 P:(DE-Juel1)172811
|b 13
773 _ _ |a 10.1101/2024.05.15.594266
856 4 _ |u https://juser.fz-juelich.de/record/1034750/files/Main_Document_2.docx
|y Restricted
909 C O |o oai:juser.fz-juelich.de:1034750
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|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 Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|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)198896
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)176971
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)176902
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)159438
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 7
|6 P:(DE-Juel1)178653
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 12
|6 P:(DE-Juel1)131678
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 13
|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 2024
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
980 _ _ |a preprint
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21