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A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations.

作者信息

Li Yijie, Zhang Wei, Wu Ye, Yin Li, Zhu Ce, Chen Yuqian, Cetin-Karayumak Suheyla, Cho Kang Ik K, Zekelman Leo R, Rushmore Jarrett, Rathi Yogesh, Makris Nikos, O'Donnell Lauren J, Zhang Fan

机构信息

School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China.

School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.

出版信息

Sci Data. 2024 Jul 17;11(1):787. doi: 10.1038/s41597-024-03624-2.


DOI:10.1038/s41597-024-03624-2
PMID:39019877
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11255335/
Abstract

The study of brain differences across Eastern and Western populations provides vital insights for understanding potential cultural and genetic influences on cognition and mental health. Diffusion MRI (dMRI) tractography is an important tool in assessing white matter (WM) connectivity and brain tissue microstructure across different populations. However, a comprehensive investigation into WM fiber tracts between Eastern and Western populations is challenged due to the lack of a cross-population WM atlas and the large site-specific variability of dMRI data. This study presents a dMRI tractography atlas, namely the East-West WM Atlas, for concurrent WM mapping between Eastern and Western populations and creates a large, harmonized dMRI dataset (n=306) based on the Human Connectome Project and the Chinese Human Connectome Project. The curated WM atlas, as well as subject-specific data including the harmonized dMRI data, the whole brain tractography data, and parcellated WM fiber tracts and their diffusion measures, are publicly released. This resource is a valuable addition to facilitating the exploration of brain commonalities and differences across diverse cultural backgrounds.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/e32609185e16/41597_2024_3624_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/549e7d58b43e/41597_2024_3624_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/4c3e7f8c3c22/41597_2024_3624_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/822ddd413088/41597_2024_3624_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/bf04546ba964/41597_2024_3624_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/700bf56edba7/41597_2024_3624_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/a592389b8b31/41597_2024_3624_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/ee4d3e9a938d/41597_2024_3624_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/6fe2028285b8/41597_2024_3624_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/e32609185e16/41597_2024_3624_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/549e7d58b43e/41597_2024_3624_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/4c3e7f8c3c22/41597_2024_3624_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/822ddd413088/41597_2024_3624_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/bf04546ba964/41597_2024_3624_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/700bf56edba7/41597_2024_3624_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/a592389b8b31/41597_2024_3624_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/ee4d3e9a938d/41597_2024_3624_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/6fe2028285b8/41597_2024_3624_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/11255335/e32609185e16/41597_2024_3624_Fig9_HTML.jpg

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A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations.

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引用本文的文献

[1]
Atlas-based templates vs. subject-specific tractography: resolving the debate.

Brain Struct Funct. 2025-8-26

[2]
7 Tesla multimodal MRI dataset of ex-vivo human brain.

Sci Data. 2025-5-22

[3]
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[4]
DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI.

Comput Med Imaging Graph. 2025-3

[5]
Assessment of the Depiction of Superficial White Matter Using Ultra-High-Resolution Diffusion MRI.

Hum Brain Mapp. 2024-10

本文引用的文献

[1]
Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study.

Sci Data. 2024-2-27

[2]
Characterization of central manifestations in patients with Niemann-Pick disease type C.

Genet Med. 2024-3

[3]
DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI.

IEEE Trans Med Imaging. 2024-3

[4]
White matter tracts and executive functions: a review of causal and correlation evidence.

Brain. 2024-2-1

[5]
Exploring the impact of hippocampal sclerosis on white matter tracts and memory in individuals with mesial temporal lobe epilepsy.

Epilepsia Open. 2023-9

[6]
The organization of frontostriatal brain wiring in non-affective early psychosis compared with healthy subjects using a novel diffusion imaging fiber cluster analysis.

Mol Psychiatry. 2023-6

[7]
Characterization of the extracellular free water signal in schizophrenia using multi-site diffusion MRI harmonization.

Mol Psychiatry. 2023-5

[8]
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation.

Neuroimage. 2023-6

[9]
Native language differences in the structural connectome of the human brain.

Neuroimage. 2023-4-15

[10]
Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions.

Med Image Anal. 2023-4

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