TY  - JOUR
AU  - Kröll, Jean-Philippe
AU  - Friedrich, Patrick
AU  - Li, Xuan
AU  - Patil, Kaustubh R.
AU  - Mochalski, Lisa
AU  - Waite, Laura
AU  - Qian, Xing
AU  - Chee, Michael WL
AU  - Zhou, Juan Helen
AU  - Eickhoff, Simon
AU  - Weis, Susanne
TI  - Naturalistic viewing increases individual identifiability based on connectivity within functional brain networks
JO  - NeuroImage
VL  - 273
SN  - 1053-8119
CY  - Orlando, Fla.
PB  - Academic Press
M1  - FZJ-2023-01787
SP  - 120083 -
PY  - 2023
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - 37015270
UR  - <Go to ISI:>//WOS:000981363300001
DO  - DOI:10.1016/j.neuroimage.2023.120083
UR  - https://juser.fz-juelich.de/record/1006698
ER  -