Collins Evan, Chishti Omar, McGrath Hari, Obaid Sami, King Alex, Qiu Edwin, Gabriel Ellie, Shen Xilin, Arora Jagriti, Papademetris Xenophon, Constable R Todd, Spencer Dennis D, Zaveri Hitten P
Department of Neurosurgery, Yale School of Medicine, New Haven, CT, United States.
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States.
Front Netw Physiol. 2025 Jun 18;5:1585019. doi: 10.3389/fnetp.2025.1585019. eCollection 2025.
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.
了解人类大脑结构与功能之间的关系对于揭示大脑组织如何影响认知、感知、情感和行为至关重要。为此,我们为耶鲁脑图谱引入了一个交互式网络工具和基础数据库,耶鲁脑图谱是一种高分辨率解剖分区,旨在促进对多模态神经影像数据的精确定位和可推广分析。该工具通过针对每种模态的专用交互式页面支持对结构和功能数据进行脑区水平的探索。对于结构数据,它纳入了来自人类连接组计划的1065名受试者的白质连接组和200名受试者的皮质厚度剖面图。对于功能数据,它包括34名健康受试者的静息态功能磁共振成像连接矩阵以及从两个元分析资源Neurosynth和NeuroQuery获取的特定任务功能磁共振成像激活数据,这些数据一旦转换到耶鲁脑图谱空间并经过修改以包含334个功能特定术语,就分别形成了Parcelynth和ParcelQuery。总之,为了支持对脑结构 - 功能关系的研究,本研究提出了一个用于耶鲁脑图谱的网络工具和数据库,能够对多模态神经影像数据进行可扩展的交互式探索。