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Cross-movie prediction of individualized functional topography
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 rea...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666932/ https://www.ncbi.nlm.nih.gov/pubmed/37994909 http://dx.doi.org/10.7554/eLife.86037 |
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author | Jiahui, Guo Feilong, Ma Nastase, Samuel A Haxby, James V Gobbini, M Ida |
author_facet | Jiahui, Guo Feilong, Ma Nastase, Samuel A Haxby, James V Gobbini, M Ida |
author_sort | Jiahui, Guo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10666932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-106669322023-11-23 Cross-movie prediction of individualized functional topography Jiahui, Guo Feilong, Ma Nastase, Samuel A Haxby, James V Gobbini, M Ida eLife Neuroscience 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. eLife Sciences Publications, Ltd 2023-11-23 /pmc/articles/PMC10666932/ /pubmed/37994909 http://dx.doi.org/10.7554/eLife.86037 Text en © 2023, Jiahui et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Jiahui, Guo Feilong, Ma Nastase, Samuel A Haxby, James V Gobbini, M Ida Cross-movie prediction of individualized functional topography |
title | Cross-movie prediction of individualized functional topography |
title_full | Cross-movie prediction of individualized functional topography |
title_fullStr | Cross-movie prediction of individualized functional topography |
title_full_unstemmed | Cross-movie prediction of individualized functional topography |
title_short | Cross-movie prediction of individualized functional topography |
title_sort | cross-movie prediction of individualized functional topography |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666932/ https://www.ncbi.nlm.nih.gov/pubmed/37994909 http://dx.doi.org/10.7554/eLife.86037 |
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