An efficient multifunction fMRI localizer for high-level visual, auditory, and cognitive regions in humans
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imag.a.905.pdf
Description
Published version
Size
8.64 MB
Format
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Checksum (MD5)
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Author(s)
Marvi, Ammar I
Hutchinson, Sam
Fedorenko, Evelina
Saxe, Rebecca R
Kamps, Frederik S
Regev, Tamar I
Chen, Emily M
Kanwisher, Nancy G
Date Issued
October 14, 2025
Journal
Imaging Neuroscience
Publisher
MIT Press
Citation
Ammar I. Marvi, Sam Hutchinson, Evelina Fedorenko, Rebecca R. Saxe, Frederik S. Kamps, Tamar I. Regev, Emily M. Chen, Nancy G. Kanwisher; An efficient multifunction fMRI localizer for high-level visual, auditory, and cognitive regions in humans. Imaging Neuroscience 2025; 3 IMAG.a.905.
Version
Final published version
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.
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DOI of Published Version
https://doi.org/10.1162/imag.a.905
