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Linking Structure and Function in Macroscale Brain Networks

delete2020-04-01
delete418
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OA
AI
L
Laura E. Suárez
R
Ross D. Markello
R
Richard F. Betzel
B
Bratislav Mišić *
DOI:10.1016/j.tics.2020.01.008delete
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摘要

摘要

En 中文
Structure-function relationships are a fundamental principle of many naturally occurring systems. However, network neuroscience research suggests that there is an imperfect link between structural connectivity and functional connectivity in the brain. Here, we synthesize the current state of knowledge linking structure and function in macroscale brain networks and discuss the different types of models used to assess this relationship. We argue that current models do not include the requisite biological detail to completely predict function. Structural network reconstructions enriched with local molecular and cellular metadata, in concert with more nuanced representations of functions and properties, hold great potential for a truly multiscale understanding of the structure-function relationship.
Keyword:
LARGE-SCALE BRAIN
RESTING-STATE NETWORKS
DEFAULT-MODE NETWORK
CONNECTIVITY ARCHITECTURE
SIGNAL PROPAGATION
ORGANIZATION
CONNECTOME
DYNAMICS
CORTEX
VARIABILITY
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

Trends in Cognitive Sciences 封面图
Trends in Cognitive Sciences
IF:
17.2
论文数:
3.6K
被引数:
3.5W

机构

I
indiana university system
学者数:
4.0W
论文数: 3.5W
被引数: 38
M
McGill University
学者数:
5.5W
论文数: 4.9W
被引数: 7.0W
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