Yale Brain Atlas to interactively explore multimodal structural and functional neuroimaging data
Understanding the relationship between structure and function in the human brain is essential for revealing how brain organization influences cognition, perception, emotion, and behavior. To this end, we introduce an interactive web tool and underlying database for Yale Brain Atlas, a high-resolutio...
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| Published in | Frontiers in network physiology Vol. 5; p. 1585019 |
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| Main Authors | , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Media S.A
18.06.2025
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2674-0109 2674-0109 |
| DOI | 10.3389/fnetp.2025.1585019 |
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| Abstract | Understanding the relationship between structure and function in the human brain is essential for revealing how brain organization influences cognition, perception, emotion, and behavior. To this end, we introduce an interactive web tool and underlying database for Yale Brain Atlas, a high-resolution anatomical parcellation designed to facilitate precise localization and generalizable analyses of multimodal neuroimaging data. The tool supports parcel-level exploration of structural and functional data through dedicated interactive pages for each modality. For structural data, it incorporates white matter connectomes of 1,065 subjects and cortical thickness profiles of 200 subjects both from the Human Connectome Project. For functional data, it includes resting-state fMRI connectivity matrices for 34 healthy subjects and task-specific fMRI activation data acquired from two meta-analytic resources–Neurosynth and NeuroQuery–which, once translated into Yale Brain Atlas space and modified to include 334 function-specific terms, form Parcelsynth and ParcelQuery, respectively. Altogether, to support investigation of brain structure-function relationships, this study presents a web tool and database for the Yale Brain Atlas that enable scalable, interactive exploration of multimodal neuroimaging data. |
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| AbstractList | Understanding the relationship between structure and function in the human brain is essential for revealing how brain organization influences cognition, perception, emotion, and behavior. To this end, we introduce an interactive web tool and underlying database for Yale Brain Atlas, a high-resolution anatomical parcellation designed to facilitate precise localization and generalizable analyses of multimodal neuroimaging data. The tool supports parcel-level exploration of structural and functional data through dedicated interactive pages for each modality. For structural data, it incorporates white matter connectomes of 1,065 subjects and cortical thickness profiles of 200 subjects both from the Human Connectome Project. For functional data, it includes resting-state fMRI connectivity matrices for 34 healthy subjects and task-specific fMRI activation data acquired from two meta-analytic resources–Neurosynth and NeuroQuery–which, once translated into Yale Brain Atlas space and modified to include 334 function-specific terms, form Parcelsynth and ParcelQuery, respectively. Altogether, to support investigation of brain structure-function relationships, this study presents a web tool and database for the Yale Brain Atlas that enable scalable, interactive exploration of multimodal neuroimaging data. Understanding the relationship between structure and function in the human brain is essential for revealing how brain organization influences cognition, perception, emotion, and behavior. To this end, we introduce an interactive web tool and underlying database for Yale Brain Atlas, a high-resolution anatomical parcellation designed to facilitate precise localization and generalizable analyses of multimodal neuroimaging data. The tool supports parcel-level exploration of structural and functional data through dedicated interactive pages for each modality. For structural data, it incorporates white matter connectomes of 1,065 subjects and cortical thickness profiles of 200 subjects both from the Human Connectome Project. For functional data, it includes resting-state fMRI connectivity matrices for 34 healthy subjects and task-specific fMRI activation data acquired from two meta-analytic resources-Neurosynth and NeuroQuery-which, once translated into Yale Brain Atlas space and modified to include 334 function-specific terms, form Parcelsynth and ParcelQuery, respectively. Altogether, to support investigation of brain structure-function relationships, this study presents a web tool and database for the Yale Brain Atlas that enable scalable, interactive exploration of multimodal neuroimaging data.Understanding the relationship between structure and function in the human brain is essential for revealing how brain organization influences cognition, perception, emotion, and behavior. To this end, we introduce an interactive web tool and underlying database for Yale Brain Atlas, a high-resolution anatomical parcellation designed to facilitate precise localization and generalizable analyses of multimodal neuroimaging data. The tool supports parcel-level exploration of structural and functional data through dedicated interactive pages for each modality. For structural data, it incorporates white matter connectomes of 1,065 subjects and cortical thickness profiles of 200 subjects both from the Human Connectome Project. For functional data, it includes resting-state fMRI connectivity matrices for 34 healthy subjects and task-specific fMRI activation data acquired from two meta-analytic resources-Neurosynth and NeuroQuery-which, once translated into Yale Brain Atlas space and modified to include 334 function-specific terms, form Parcelsynth and ParcelQuery, respectively. Altogether, to support investigation of brain structure-function relationships, this study presents a web tool and database for the Yale Brain Atlas that enable scalable, interactive exploration of multimodal neuroimaging data. |
| Author | Spencer, Dennis D. Arora, Jagriti Zaveri, Hitten P. Qiu, Edwin Gabriel, Ellie McGrath, Hari Constable, R. Todd Obaid, Sami Chishti, Omar Collins, Evan Papademetris, Xenophon King, Alex Shen, Xilin |
| AuthorAffiliation | 2 Department of Biological Engineering , Massachusetts Institute of Technology , Cambridge , MA , United States 4 Max Planck School of Cognition , Leipzig , Germany 10 Perelman School of Medicine , University of Pennsylvania , Philadelphia , PA , United States 13 Department of Biomedical Informatics and Data Science , Yale School of Medicine , New Haven , CT , United States 1 Department of Neurosurgery , Yale School of Medicine , New Haven , CT , United States 12 Department of Biomedical Engineering , Yale University , New Haven , CT , United States 9 Chobanian & Avedisian School of Medicine , Boston University , Boston , MA , United States 7 Neurosurgery Service , University of Montreal Hospital Center (CHUM) , Montreal , QC , Canada 5 Department of Clinical Neurosciences , University of Cambridge , Cambridge , United Kingdom 11 Department of Radiology and Biomedical Imaging , Yale School of Medicine , New Haven , CT , United States 14 Interdepartmental Neuroscience Program , Yale University , |
| AuthorAffiliation_xml | – name: 13 Department of Biomedical Informatics and Data Science , Yale School of Medicine , New Haven , CT , United States – name: 10 Perelman School of Medicine , University of Pennsylvania , Philadelphia , PA , United States – name: 12 Department of Biomedical Engineering , Yale University , New Haven , CT , United States – name: 6 Division of Neurosurgery , Department of Surgery , Faculty of Medicine , University of Montreal , Montreal , QC , Canada – name: 9 Chobanian & Avedisian School of Medicine , Boston University , Boston , MA , United States – name: 14 Interdepartmental Neuroscience Program , Yale University , New Haven , CT , United States – name: 11 Department of Radiology and Biomedical Imaging , Yale School of Medicine , New Haven , CT , United States – name: 3 David H. Koch Institute for Integrative Cancer Research , Massachusetts Institute of Technology , Cambridge , MA , United States – name: 4 Max Planck School of Cognition , Leipzig , Germany – name: 8 Department of Plant and Microbial Biology , University of California, Berkeley , Berkeley , CA , United States – name: 5 Department of Clinical Neurosciences , University of Cambridge , Cambridge , United Kingdom – name: 2 Department of Biological Engineering , Massachusetts Institute of Technology , Cambridge , MA , United States – name: 15 Department of Neurology , Yale School of Medicine , New Haven , CT , United States – name: 7 Neurosurgery Service , University of Montreal Hospital Center (CHUM) , Montreal , QC , Canada – name: 1 Department of Neurosurgery , Yale School of Medicine , New Haven , CT , United States |
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| Cites_doi | 10.1016/j.neuroimage.2006.01.021 10.1038/s41467-022-32595-4 10.1038/s41467-024-51395-6 10.1038/s41593-024-01788-z 10.1038/s41467-022-29770-y 10.7554/eLife.53385 10.1111/cns.12997 10.1016/j.neuron.2021.02.012 10.1016/j.neuroimage.2011.06.021 10.1176/appi.ajp.162.7.1256 10.1093/cercor/bhx179 10.1016/j.neuroimage.2010.06.010 10.1016/j.brs.2024.03.011 10.1038/s41598-022-21543-3 10.1126/science.abb4588 10.1146/annurev.neuro.27.070203.144152 10.1038/nmeth.1635 10.1002/cne.24080 10.54294/2g80r4 10.1684/epd.2014.0675 10.1016/j.neuroimage.2019.116189 10.1016/j.clinph.2009.08.001 10.1038/s41386-024-01946-8 10.3171/jns.1993.79.1.0062 10.1038/nature18933 10.1016/j.neuroimage.2006.04.220 10.1371/journal.pcbi.0010042 10.1016/j.conb.2016.05.003 10.1093/cercor/bhw157 10.3171/2016.11.JNS161296 |
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| Title | Yale Brain Atlas to interactively explore multimodal structural and functional neuroimaging data |
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