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001034750 1001_ $$0P:(DE-Juel1)176972$$aKröll, Jean-Philippe$$b0$$eCorresponding author
001034750 245__ $$aTest–Retest Reliability of Meta Analytic Networks During Naturalistic Viewing
001034750 260__ $$c2024
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001034750 520__ $$aFunctional connectivity analyses have given considerable insights into human brain function and organization. As research moves towards clinical application, test-retest reliability has become a main focus of the field. So far, the majority of studies have relied on resting-state paradigms to examine brain connectivity, based on its low demand and ease of implementation. However, the reliability of resting-state measures is mostly moderate, potentially due to its unconstrained nature. Recently, naturalistic viewing paradigms have gained popularity because they probe the human brain under more ecologically valid conditions, thereby possibly increasing reliability. Therefore, we here compared the reliability of graph metrics extracted from resting-state and naturalistic viewing in functional networks, across two sessions. We show that naturalistic viewing can increase reliability over resting- state, but that its effect varies between stimuli and networks. Furthermore, we demonstrate that the effect of naturalistic viewing differs between two cohorts with Asian and European cultural backgrounds. Taken together, our study encourages the use of naturalistic viewing to increase reliability, but emphasizes the need to carefully select the appropriate stimulus and network for the respective research question.
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001034750 7001_ $$0P:(DE-Juel1)185938$$aFriedrich, Patrick$$b1
001034750 7001_ $$0P:(DE-Juel1)184969$$aLi, Xuan$$b2
001034750 7001_ $$0P:(DE-Juel1)198896$$aNurislamova, Yulia$$b3
001034750 7001_ $$0P:(DE-Juel1)176971$$aKraljevic, Nevena$$b4
001034750 7001_ $$0P:(DE-Juel1)176902$$aGeiger, Anna$$b5
001034750 7001_ $$0P:(DE-Juel1)159438$$aMans, Julia$$b6
001034750 7001_ $$0P:(DE-Juel1)178653$$aWaite, Laura$$b7
001034750 7001_ $$0P:(DE-Juel1)144344$$aCaspers, Julian$$b8
001034750 7001_ $$0P:(DE-HGF)0$$aQian, Xing$$b9
001034750 7001_ $$0P:(DE-HGF)0$$aChee, Michael WL$$b10
001034750 7001_ $$0P:(DE-HGF)0$$aZhou, Juan Helen$$b11
001034750 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b12
001034750 7001_ $$0P:(DE-Juel1)172811$$aWeis, Susanne$$b13
001034750 773__ $$a10.1101/2024.05.15.594266
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001034750 9141_ $$y2024
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