Predicting individual face-selective topography using naturalistic stimuli
Subject-specific, functionally defined areas are conventionally estimated with functional localizers and a simple contrast analysis between responses to different stimulus categories. Compared with functional localizers, naturalistic stimuli provide several advantages such as stronger and widespread...
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| Published in | NeuroImage (Orlando, Fla.) Vol. 216; p. 116458 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier Inc
01.08.2020
Elsevier Limited Elsevier |
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| Abstract | Subject-specific, functionally defined areas are conventionally estimated with functional localizers and a simple contrast analysis between responses to different stimulus categories. Compared with functional localizers, naturalistic stimuli provide several advantages such as stronger and widespread brain activation, greater engagement, and increased subject compliance. In this study we demonstrate that a subject’s idiosyncratic functional topography can be estimated with high fidelity from that subject’s fMRI data obtained while watching a naturalistic movie using hyperalignment to project other subjects’ localizer data into that subject’s idiosyncratic cortical anatomy. These findings lay the foundation for developing an efficient tool for mapping functional topographies for a wide range of perceptual and cognitive functions in new subjects based only on fMRI data collected while watching an engaging, naturalistic stimulus and other subjects’ localizer data from a normative sample.
•Hyperalignment estimates topographic maps from others’ movie and localizer data.•Only movie data is needed to estimate functional topographies in new participants.•Hyperalignment affords estimation of individual topographies in great detail.•New one-step hyperalignment algorithm improves estimates of topography. |
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| AbstractList | Subject-specific, functionally defined areas are conventionally estimated with functional localizers and a simple contrast analysis between responses to different stimulus categories. Compared with functional localizers, naturalistic stimuli provide several advantages such as stronger and widespread brain activation, greater engagement, and increased subject compliance. In this study we demonstrate that a subject’s idiosyncratic functional topography can be estimated with high fidelity from that subject’s fMRI data obtained while watching a naturalistic movie using hyperalignment to project other subjects’ localizer data into that subject’s idiosyncratic cortical anatomy. These findings lay the foundation for developing an efficient tool for mapping functional topographies for a wide range of perceptual and cognitive functions in new subjects based only on fMRI data collected while watching an engaging, naturalistic stimulus and other subjects’ localizer data from a normative sample. Subject-specific, functionally defined areas are conventionally estimated with functional localizers and a simple contrast analysis between responses to different stimulus categories. Compared with functional localizers, naturalistic stimuli provide several advantages such as stronger and widespread brain activation, greater engagement, and increased subject compliance. In this study we demonstrate that a subject’s idiosyncratic functional topography can be estimated with high fidelity from that subject’s fMRI data obtained while watching a naturalistic movie using hyperalignment to project other subjects’ localizer data into that subject’s idiosyncratic cortical anatomy. These findings lay the foundation for developing an efficient tool for mapping functional topographies for a wide range of perceptual and cognitive functions in new subjects based only on fMRI data collected while watching an engaging, naturalistic stimulus and other subjects’ localizer data from a normative sample. •Hyperalignment estimates topographic maps from others’ movie and localizer data.•Only movie data is needed to estimate functional topographies in new participants.•Hyperalignment affords estimation of individual topographies in great detail.•New one-step hyperalignment algorithm improves estimates of topography. Subject-specific, functionally defined areas are conventionally estimated with functional localizers and a simple contrast analysis between responses to different stimulus categories. Compared with functional localizers, naturalistic stimuli provide several advantages such as stronger and widespread brain activation, greater engagement, and increased subject compliance. In this study we demonstrate that a subject's idiosyncratic functional topography can be estimated with high fidelity from that subject's fMRI data obtained while watching a naturalistic movie using hyperalignment to project other subjects' localizer data into that subject's idiosyncratic cortical anatomy. These findings lay the foundation for developing an efficient tool for mapping functional topographies for a wide range of perceptual and cognitive functions in new subjects based only on fMRI data collected while watching an engaging, naturalistic stimulus and other subjects' localizer data from a normative sample.Subject-specific, functionally defined areas are conventionally estimated with functional localizers and a simple contrast analysis between responses to different stimulus categories. Compared with functional localizers, naturalistic stimuli provide several advantages such as stronger and widespread brain activation, greater engagement, and increased subject compliance. In this study we demonstrate that a subject's idiosyncratic functional topography can be estimated with high fidelity from that subject's fMRI data obtained while watching a naturalistic movie using hyperalignment to project other subjects' localizer data into that subject's idiosyncratic cortical anatomy. These findings lay the foundation for developing an efficient tool for mapping functional topographies for a wide range of perceptual and cognitive functions in new subjects based only on fMRI data collected while watching an engaging, naturalistic stimulus and other subjects' localizer data from a normative sample. |
| ArticleNumber | 116458 |
| Author | Chauhan, Vassiki Visconti di Oleggio Castello, Matteo Gobbini, M. Ida Feilong, Ma Guntupalli, J. Swaroop Jiahui, Guo Haxby, James V. |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31843709$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1038_s41597_020_00735_4 crossref_primary_10_1016_j_scib_2024_02_035 crossref_primary_10_1073_pnas_2304085120 crossref_primary_10_7554_eLife_56601 crossref_primary_10_1038_s41597_022_01250_4 crossref_primary_10_1073_pnas_2110474118 crossref_primary_10_12688_f1000research_24544_1 crossref_primary_10_1016_j_neuroimage_2021_118776 crossref_primary_10_7554_eLife_86037 crossref_primary_10_7554_eLife_64058 crossref_primary_10_1007_s12021_022_09568_5 crossref_primary_10_1016_j_neuroimage_2021_118683 crossref_primary_10_1002_hbm_25815 crossref_primary_10_1162_imag_a_00032 |
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| Keywords | Hyperalignment Functional topography Localizer Faces Naturalistic stimuli |
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| SubjectTerms | Adult Algorithms Brain Brain - diagnostic imaging Brain - physiology Brain mapping Cognitive ability Datasets Faces Facial Recognition - physiology Female Forecasting Functional magnetic resonance imaging Functional topography Hotels & motels Humans Hyperalignment Localizer Magnetic Resonance Imaging - methods Male Mapping Motion Pictures Naturalistic stimuli Photic Stimulation - methods Scanners Topography Young Adult |
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| Title | Predicting individual face-selective topography using naturalistic stimuli |
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