RT Journal Article
SR Electronic
T1 Quantifying the contribution of subject and group factors in brain activation
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2022.08.01.502338
DO 10.1101/2022.08.01.502338
A1 Nakuci, Johan
A1 Yeon, Jiwon
A1 Xue, Kai
A1 Kim, Ji-Hyun
A1 Kim, Sung-Phil
A1 Rahnev, Dobromir
YR 2023
UL http://biorxiv.org/content/early/2023/09/05/2022.08.01.502338.abstract
AB Research in neuroscience often assumes universal neural mechanisms, but increasing evidence points towards sizeable individual differences in brain activations. What remains unclear is the extent of the idiosyncrasy and whether different types of analyses are associated with different levels of idiosyncrasy. Here we develop a new method for addressing these questions. The method consists of computing the within-subject reliability and subject-to-group similarity of brain activations and submitting these values to a computational model that quantifies the relative strength of group- and subject-level factors. We apply this method to a perceptual decision-making task (N=50) and find that activations related to task, reaction time (RT), and confidence are influenced equally strongly by group- and subject-level factors. Both group- and subject-level factors are dwarfed by a noise factor, though higher levels of smoothing increases their contributions relative to noise. Overall, our method allows for the quantification of group- and subject-level factors of brain activations and thus provides a more detailed understanding of the idiosyncrasy levels in brain activations.Competing Interest StatementThe authors have declared no competing interest.