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Node persistence from topological data analysis reveals changes in brain functional connectivity

delete2025-12-03
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OA
AI
M
Madhumita Mondal
Y
Yasharth Yadav
J
Jürgen Jost *
A
Areejit Samal *
DOI：10.1016/j.patter.2025.101427delete
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摘要

摘要

En 中文
• 基于TDA的功能连接变化在健康老龄化和ASD中的研究 • 持续同调在全局、中观和局部尺度上表征连接性 • 节点持续性是一种新的可扩展指标，可检测局部功能连接变化 • 节点持续性突出了与老龄化和ASD相关的临床相关区域
Keyword:
topological data analysis
persistent homology
healthy aging
autism spectrum disorder
resting-state fMRI
functional connectivity
non-invasive brain stimulation
AI总结

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对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Patterns 封面图
Patterns
IF:
7.4
论文数:
940
被引数:
3.6K

机构

N
Nanyang Technological University
学者数:
4.9W
论文数: 4.8W
被引数: 8.1W
T
the institute of mathematical sciences (imsc)
学者数:
3
论文数: 2
被引数: 0
Max Planck Institute for Mathematics in the Sciences 封面图
Max Planck Institute for Mathematics in the Sciences
学者数:
4
论文数: 4
被引数: 333
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