The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture

By Lingzhong Fan, Hai Li, Junjie Zhuo, Yu Zhang, Jiaojian Wang, Liangfu Chen, Zhengyi Yang, Congying Chu, S. Xie, Angela R. Laird and 4 more. Cerebral Cortex, 2016

1,805 citations recorded by the source corpus.

The human brain atlases that allow correlating brain anatomy with psychological and cognitive functions are in transition from ex vivo histology-based printed atlases to digital brain maps providing multimodal in vivo information. Many current human brain atlases cover only specific structures, lack fine-grained parcellations, and fail to provide functionally important connectivity information. Using noninvasive multimodal neuroimaging techniques, we designed a connectivity-based parcellation framework that identifies the subdivisions of the entire human brain, revealing the in vivo connectivity architecture. The resulting human Brainnetome Atlas, with 210 cortical and 36 subcortical subregions, provides a fine-grained, cross-validated atlas and contains information on both anatomical and functional connections. Additionally, we further mapped the delineated structures to mental processes by reference to the BrainMap database. It thus provides an objective and stable starting point from which to explore the complex relationships between structure, connectivity, and function, and eventually improves understanding of how the human brain works. The human Brainnetome Atlas will be made freely available for download at http://atlas.brainnetome.org, so that whole brain parcellations, connections, and functional data will be readily available for researchers to use in their investigations into healthy and pathological states.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/c3d29e7f18e6ba080693c1de4ce890aac62a88ab

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features (2018, positive): “org/) was applied to parcellate the entire gray matter into 246 regions (123 in each hemisphere) consisting of 210 cortical and 36 subcortical regions (Fan et al., 2016).”
Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex (2017, neutral): “Several parcellations are only available in volume space (Tzourio-Mazoyer et al., 2002; Shen et al., 2013; Fan et al., 2016).”
Mapping the human brain’s cortical-subcortical functional network organization (2018, positive): “Similar to another recent brain region parcellation (Fan et al., 2016), these improvements were driven by convergence across independent MRI-based modalities, each with complementary strengths and weaknesses.”
Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI (2017, neutral): “More comprehensive comparisons with other approaches (Arslan et al., 2017), as well as parcellations from different modalities, such as diffusion MRI (Fan et al., 2016) or histology (Eickhoff et al., 2005; Ding et al., 2016) are left to future work.”
Bridging verbal coordination and neural dynamics (2025, unknown): “Indeed, silhouette scores are systematically higher for behaviour-related activity compared to global activity, indicating greater clustering consistency across frequency bands (t(106)=7.79, p .001, see Figure S3).”
Macroscale traveling waves evoked by single-pulse stimulation of the human brain (2023, unknown): “…image processing, electrode detection, and anatomical localization of intracranial electrodes were performed using the open-source Locate electrodes Graphical User Interface (LeGUI; https://github.com/Rolston-Lab/LeGUI) software (Davis et al., 2021a) and the Brainnetome atlas (Fan et al., 2016).”
How structural and functional MRI can inform dual-site tACS parameters: A case study in a clinical population and its pragmatic implications. (2022, unknown): “, sub-cortical areas (amygdala, and basal ganglia (nucleus accumbens, ventral and dorsal caudate, ventromedial and dorsolateral putamen, and globus pallidus)), cingulate gyrus and insular cortex [85,86]) were also included using sub-regions in Brainnetome atlas [82].”