Suppr超能文献

区域与连接:刻画大脑组织和功能的互补方法

Regions and Connections: Complementary Approaches to Characterize Brain Organization and Function.

机构信息

Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA.

Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.

出版信息

Neuroscientist. 2020 Apr;26(2):117-133. doi: 10.1177/1073858419860115. Epub 2019 Jul 14.

Abstract

Functional magnetic resonance imaging has proved to be a powerful tool to characterize spatiotemporal patterns of human brain activity. Analysis methods broadly fall into two camps: those summarizing properties of a region and those measuring interactions among regions. Here we pose an unappreciated question in the field: What are the strengths and limitations of each approach to study fundamental neural processes? We explore the relative utility of region- and connection-based measures in the context of three topics of interest: neurobiological relevance, brain-behavior relationships, and individual differences in brain organization. In each section, we offer illustrative examples. We hope that this discussion offers a novel and useful framework to support efforts to better understand the macroscale functional organization of the brain and how it relates to behavior.

摘要

功能磁共振成像已被证明是一种强大的工具,可用于描述人类大脑活动的时空模式。分析方法大致可分为两类:一类是总结区域特性的方法,另一类是测量区域间相互作用的方法。在这里,我们提出了该领域一个尚未被认识到的问题:每种方法在研究基本神经过程方面的优势和局限性是什么?我们在三个感兴趣的主题背景下探讨了基于区域和连接的测量方法的相对效用:神经生物学相关性、脑-行为关系以及大脑组织的个体差异。在每个部分,我们都提供了说明性的例子。我们希望本次讨论提供了一个新颖且有用的框架,以支持更好地理解大脑的宏观功能组织及其与行为的关系的努力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fb7/7079335/456809d91d0e/10.1177_1073858419860115-fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验