小柯机器人

功能性脑组织表征的挑战和未来方向
2020-10-28 15:15

2020年10月26日,英国牛津大学Eugene P. Duff、美国华盛顿大学Janine Bijsterbosch等研究人员在《自然—神经科学》杂志发表论文,探讨了功能性脑组织表征的挑战和未来方向。

研究人员表示,大脑组织的关键原理是将大脑区域功能整合到相互连接的网络中。静止获取的功能性MRI扫描可通过自发活动的连贯波动模式(功能连接性)来洞察功能集成。这些模式已被深入研究,并已与认知和疾病联系在一起。但是,这一领域分裂为几个部分。不同的分析方法已将研究领域划分为了不同的孤岛,从而限制了研究结果的重复和临床转化。这种割裂局势的主要原因是复杂数据简化分析方法的多样性。
 
研究人员概述了不同的分析方法,阐述了导致领域分裂的因素,这些挑战将继续构成研究障碍,并提出了统一领域的具体指导方针。
 
附:英文原文

Title: Challenges and future directions for representations of functional brain organization

Author: Janine Bijsterbosch, Samuel J. Harrison, Saad Jbabdi, Mark Woolrich, Christian Beckmann, Stephen Smith, Eugene P. Duff

Issue&Volume: 2020-10-26

Abstract: A key principle of brain organization is the functional integration of brain regions into interconnected networks. Functional MRI scans acquired at rest offer insights into functional integration via patterns of coherent fluctuations in spontaneous activity, known as functional connectivity. These patterns have been studied intensively and have been linked to cognition and disease. However, the field is fractionated. Diverging analysis approaches have segregated the community into research silos, limiting the replication and clinical translation of findings. A primary source of this fractionation is the diversity of approaches used to reduce complex brain data into a lower-dimensional set of features for analysis and interpretation, which we refer to as brain representations. In this Primer, we provide an overview of different brain representations, lay out the challenges that have led to the fractionation of the field and that continue to form obstacles for convergence, and propose concrete guidelines to unite the field. In this Primer article, Bijsterbosch and colleagues provide an accessible discussion of the challenges faced in analytical representations of functional brain organization and provide clear recommendations to unite a fractionated field.

DOI: 10.1038/s41593-020-00726-z

Source: https://www.nature.com/articles/s41593-020-00726-z

Nature Neuroscience:《自然—神经科学》,创刊于1998年。隶属于施普林格·自然出版集团,最新IF:28.771
官方网址:https://www.nature.com/neuro/
投稿链接:https://mts-nn.nature.com/cgi-bin/main.plex


本期文章:《自然—神经科学》:Online/在线发表

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