PT  - JOURNAL ARTICLE
AU  - Jiahui, Guo
AU  - Feilong, Ma
AU  - Nastase, Samuel A.
AU  - Haxby, James V.
AU  - Gobbini, M. Ida
TI  - Cross-movie prediction of individualized functional topography
AID  - 10.1101/2022.11.21.517253
DP  - 2023 Jan 01
TA  - bioRxiv
PG  - 2022.11.21.517253
4099  - http://biorxiv.org/content/early/2023/02/04/2022.11.21.517253.short
4100  - http://biorxiv.org/content/early/2023/02/04/2022.11.21.517253.full
AB  - Participant-specific, functionally-defined brain areas are usually mapped with functional localizers and estimated by making contrasts between responses to single categories of input. Naturalistic stimuli engage multiple brain systems in parallel, provide more ecologically plausible estimates of real-world statistics, and are friendly to special populations. The current study shows that cortical functional topographies in individual participants can be estimated with high fidelity from naturalistic stimuli. Importantly, we demonstrate that robust, individualized estimates can be obtained even when participants watched different movies, were scanned with different parameters/scanners, and were sampled from different institutes across the world. Our results create a foundation for future studies that allow researchers to estimate a broad range of functional topographies based on naturalistic movies and a normative database, making it possible to integrate high-level cognitive functions across datasets from laboratories worldwide.Competing Interest StatementThe authors have declared no competing interest.