Journal Article

FZJ-2025-01826

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Stimulus Selection Influences Prediction of Individual Phenotypes in Naturalistic Conditions

Li, X. (Corresponding author)FZJ* ; Eickhoff, S. B.FZJ* ; Weis, S.FZJ*

2025
Wiley-Liss New York, NY

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Please use a persistent id in citations: doi:10.1002/hbm.70164  doi:10.34734/FZJ-2025-01826

Abstract: While the use of naturalistic stimuli such as movie clips for understanding individual differences and brain–behaviour relationships attracts increasing interest, the influence of stimulus selection remains largely unclear. By using machine learning to predict individual traits (phenotypes) from brain activity evoked during various movie clips, we show that different movie stimuli can result in distinct prediction performances. In brain regions related to lower-level processing of the stimulus, prediction to a certain degree benefits from stronger synchronisation of brain activity across subjects. By contrast, better predictions in frontoparietal brain regions are mainly associated with larger inter-subject variability. Furthermore, we demonstrate that while movie clips with rich social content in general achieve better predictions, the importance of specific movie features for prediction highly depends on the phenotype under investigation. Overall, our findings underscore the importance of careful stimulus selection and provide novel insights into stimulus selection for phenotype prediction in naturalistic conditions, opening new avenues for future research.

Note: Funding: This work was supported by European Union's Horizon 2020 Research and Innovation Programme (945539; HBP SGA3) and Deutsche Forschungsgemeinschaft (491111487).

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Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 5251 - Multilevel Brain Organization and Variability (POF4-525) (POF4-525)
2. 5252 - Brain Dysfunction and Plasticity (POF4-525) (POF4-525)

Appears in the scientific report 2025

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