Evidence map›Paper›PMID 41104125›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

An efficient multifunction fMRI localizer for high-level visual, auditory, and cognitive regions in humans.

Ammar I Marvi, Sam Hutchinson, Evelina Fedorenko, Rebecca R Saxe, Frederik S Kamps, Tamar I Regev, Emily M Chen, Nancy G Kanwisher

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ammar I MarviDepartment of Psychology, Harvard University, Cambridge, MA, United States.
Sam HutchinsonDepartment of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States.
Evelina FedorenkoDepartment of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States.
Rebecca R SaxeDepartment of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States.
Frederik S KampsDepartment of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Tamar I RegevDepartment of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States.
Emily M ChenDepartment of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States.
Nancy G KanwisherDepartment of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States.ORCID https://orcid.org/0000-0003-3853-7885

Funding

Functionally guided adult whole brain cell atlas in human and NHPUM1MH130981 · NIMH · ALLEN INSTITUTE · PI Ed Lein, Hongkui Zeng · 2022 to 2026
$91.9M
NIMH NIH HHS UM1 MH130981
6 · The paper itself

Abstract

One of the most robust findings in human cognitive neuroscience is the discovery that many regions of the cortex are engaged in distinctive, often very specific, functions. Although these regions are found in approximately the same location in almost all typical participants, their exact location varies from one individual to the next. Thus, the first step in studying these regions is to identify them in each participant individually. Standard functional localizers have been devised to accomplish this goal, but most localizers identify only a few regions. Many important questions in modern neuroscience can only be answered by measuring the responses of multiple cortical regions at the same time. Here, we introduce a new Efficient Multifunction fMRI localizer (EMFL) in which visual and auditory conditions are presented simultaneously, enabling the identification, in just 14 minutes of fMRI scan time, of 14 of the most widely-studied cortical regions: those selectively engaged in perceiving faces, places, bodies, words, objects, and speech sounds; understanding language and other people's thoughts; and engaging broadly in demanding cognitive tasks (the "multiple demand" system). We validate the EMFL by showing that it identifies the major functional regions of interest as well as the standard localizers do, in a quarter of the scan time. The stimuli and presentation code for this new localizer are publicly available, enabling future studies to efficiently identify the major functional regions of interest with the same procedure across labs.

Indexed as

functional regions of interest and functional localizationhuman brain

Identifiers

PMID41104125
PMCPMC12521984

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.