Population-averaged atlas of the macroscale human structural connectome and its network topology

人类连接体项目 拓扑(电路) 连接组学 人工智能 脑图谱 复杂网络
作者
Fang‐Cheng Yeh,Sandip S. Panesar,David Fernandes,Antonio Meola,Yoshino Matsuo,Juan C. Fernandez‐Miranda,Jean M. Vettel,Timothy Verstynen
出处
期刊:NeuroImage [Elsevier BV]
卷期号:178: 57-68 被引量:371
标识
DOI:10.1016/j.neuroimage.2018.05.027
摘要

A comprehensive map of the structural connectome in the human brain has been a coveted resource for understanding macroscopic brain networks. Here we report an expert-vetted, population-averaged atlas of the structural connectome derived from diffusion MRI data (N = 842). This was achieved by creating a high-resolution template of diffusion patterns averaged across individual subjects and using tractography to generate 550,000 trajectories of representative white matter fascicles annotated by 80 anatomical labels. The trajectories were subsequently clustered and labeled by a team of experienced neuroanatomists in order to conform to prior neuroanatomical knowledge. A multi-level network topology was then described using whole-brain connectograms, with subdivisions of the association pathways showing small-worldness in intra-hemisphere connections, projection pathways showing hub structures at thalamus, putamen, and brainstem, and commissural pathways showing bridges connecting cerebral hemispheres to provide global efficiency. This atlas of the structural connectome provides representative organization of human brain white matter, complementary to traditional histologically-derived and voxel-based white matter atlases, allowing for better modeling and simulation of brain connectivity for future connectome studies.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
老实凝蕊发布了新的文献求助20
刚刚
红岸完成签到,获得积分10
刚刚
1秒前
Stone完成签到,获得积分10
1秒前
荔枝发布了新的文献求助10
1秒前
Leechii发布了新的文献求助10
2秒前
2秒前
夏至完成签到 ,获得积分10
2秒前
Yang完成签到,获得积分20
3秒前
KaylaD完成签到,获得积分20
3秒前
4秒前
林不泯发布了新的文献求助10
4秒前
4秒前
4秒前
4秒前
4秒前
慕青应助奶茶的后来采纳,获得10
5秒前
5秒前
MM完成签到,获得积分10
5秒前
stangkk发布了新的文献求助10
5秒前
5秒前
gladuhere完成签到 ,获得积分10
6秒前
王顺发发布了新的文献求助10
6秒前
6秒前
开朗的乐蕊完成签到,获得积分10
6秒前
啦啦小牛完成签到,获得积分10
6秒前
6秒前
6秒前
Akim应助zz采纳,获得10
7秒前
SciGPT应助呆萌致远采纳,获得10
7秒前
乌贼完成签到,获得积分10
7秒前
汉堡包应助Robbins采纳,获得10
7秒前
zxdzaz完成签到 ,获得积分10
7秒前
8秒前
8秒前
高俊飞发布了新的文献求助10
8秒前
Zong发布了新的文献求助10
8秒前
ding应助小羿羿呀采纳,获得10
9秒前
悄悄.完成签到,获得积分10
9秒前
高分求助中
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2000
Overcoming Stigma and Bias in Obesity Management 1200
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6489746
求助须知:如何正确求助?哪些是违规求助? 8287904
关于积分的说明 17682078
捐赠科研通 5579898
什么是DOI,文献DOI怎么找? 2914515
邀请新用户注册赠送积分活动 1891497
关于科研通互助平台的介绍 1749182