ORIGINAL RESEARCH article
Front. Netw. Physiol.
Sec. Networks in the Brain System
Volume 5 - 2025 | doi: 10.3389/fnetp.2025.1585019
This article is part of the Research TopicThe Network Theory of Epilepsy at TwentyView all 15 articles
Yale Brain Atlas to interactively explore multimodal structural and functional neuroimaging data
Provisionally accepted
Evan Collins1*
Omar Chishti2Hari Mcgrath3
Sami Obaid4
Alex King5Edwin Qiu6Ellie Gabriel7
Xilin Shen8Jagriti Arora8Xenophon Papademetris8
Robert Todd Constable8
Dennis Spencer8
Hitten P Zaveri8*- 1Massachusetts Institute of Technology, Cambridge, United States
- 2Max Planck School of Cognition, Leipzig, Lower Saxony, Germany
- 3University of Cambridge, Cambridge, England, United Kingdom
- 4University of Montreal Hospital Centre (CRCHUM), Montreal, Quebec, Canada
- 5University of California, Berkeley, Berkeley, California, United States
- 6Chobanian & Avedisian School of Medicine, Boston University, Boston, Massachusetts, United States
- 7Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States
- 8Yale University, New Haven, Connecticut, United States
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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 1065 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.
Keywords: Atlas, Neuroimaging, Structure-function, Webtool, Network physiology, connectivity, fMRI, connectomics
Received: 28 Feb 2025; Accepted: 26 May 2025.
Copyright: © 2025 Collins, Chishti, Mcgrath, Obaid, King, Qiu, Gabriel, Shen, Arora, Papademetris, Constable, Spencer and Zaveri. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Evan Collins, Massachusetts Institute of Technology, Cambridge, United States
Hitten P Zaveri, Yale University, New Haven, 06520, Connecticut, United States
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.