ArticleScientific data2022
Chinese adult brain atlas with functional and white matter parcellation.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Exploratory GABAa-informed control network modulates hyperarousal brain dynamics in chronic insomnia.Communications biology · 2025Article
- A lifespan-generalizable skull-stripping model for magnetic resonance images that leverages prior knowledge from brain atlases.Nature biomedical engineering · 2025Article
- A foundation model for enhancing magnetic resonance images and downstream segmentation, registration and diagnostic tasks.Nature biomedical engineering · 2025Article
- Genetically modified non-human primate models for research on neurodegenerative diseases.Zoological research · 2024Review
- Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024Article
- Chinese adult brain atlas with functional and white matter parcellation.Scientific data · 2022Article
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2 authors.
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Abstract
Brain atlases play important roles in studying anatomy and function of the brain. As increasing interests in multi-modal magnetic resonance imaging (MRI) approaches, such as combining structural MRI, diffusion weighted imaging (DWI), and resting-state functional MRI (rs-fMRI), there is a need to construct integrated brain atlases based on these three imaging modalities. This study constructed a multi-modal brain atlas for a Chinese aging population (n = 180, age: 22-79 years), which consists of a T1 atlas showing the brain morphology, a high angular resolution diffusion imaging (HARDI) atlas delineating the complex fiber architecture, and a rs-fMRI atlas reflecting brain intrinsic functional organization in one stereotaxic coordinate. We employed large deformation diffeomorphic metric mapping (LDDMM) and unbiased diffeomorphic atlas generation to simultaneously generate the T1 and HARDI atlases. Using spectral clustering, we generated 20 brain functional networks from rs-fMRI data. We demonstrated the use of the atlas to explore the coherent markers among the brain morphology, functional networks, and white matter tracts for aging and gender using joint independent component analysis.
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