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.

Jiahui G., Feilong M., Nastase S.A., Haxby J.V., Gobbini M.I. (2023). Cross-movie prediction of individualized functional topography. ELIFE, 12, 1-17 [10.7554/eLife.86037].

Cross-movie prediction of individualized functional topography

Gobbini M. I.
2023

Abstract

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.
2023
Jiahui G., Feilong M., Nastase S.A., Haxby J.V., Gobbini M.I. (2023). Cross-movie prediction of individualized functional topography. ELIFE, 12, 1-17 [10.7554/eLife.86037].
Jiahui G.; Feilong M.; Nastase S.A.; Haxby J.V.; Gobbini M.I.
File in questo prodotto:
File Dimensione Formato  
elife-86037-v1.pdf

accesso aperto

Tipo: Versione (PDF) editoriale
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione 9.28 MB
Formato Adobe PDF
9.28 MB Adobe PDF Visualizza/Apri
elife-86037-mdarchecklist1.docx

accesso aperto

Tipo: File Supplementare
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione 99.94 kB
Formato Microsoft Word XML
99.94 kB Microsoft Word XML Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/953657
Citazioni
  • ???jsp.display-item.citation.pmc??? 2
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact