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本文引用的文献

1
Building connectomes using diffusion MRI: why, how and but.基于弥散磁共振成像构建连接组学:为何、如何以及但是。
NMR Biomed. 2019 Apr;32(4):e3752. doi: 10.1002/nbm.3752. Epub 2017 Jun 27.
2
Never forget a name: white matter connectivity predicts person memory.永不忘记一个名字:白质连接预测个体记忆。
Brain Struct Funct. 2017 Dec;222(9):4187-4201. doi: 10.1007/s00429-017-1458-3. Epub 2017 Jun 23.
3
A Revised Neural Framework for Face Processing.一种用于面部处理的修订神经框架。
Annu Rev Vis Sci. 2015 Nov 24;1:393-416. doi: 10.1146/annurev-vision-082114-035518.
4
White matter maturation is associated with the emergence of Theory of Mind in early childhood.脑白质成熟与儿童早期心理理论的出现有关。
Nat Commun. 2017 Mar 21;8:14692. doi: 10.1038/ncomms14692.
5
Dynamic neural architecture for social knowledge retrieval.用于社会知识检索的动态神经体系结构。
Proc Natl Acad Sci U S A. 2017 Apr 18;114(16):E3305-E3314. doi: 10.1073/pnas.1621234114. Epub 2017 Mar 13.
6
Impaired white matter connectivity between regions containing mirror neurons, and relationship to negative symptoms and social cognition, in patients with first-episode schizophrenia.首发精神分裂症患者镜像神经元所在区域间的白质连接受损,与阴性症状和社会认知的关系。
Brain Imaging Behav. 2018 Feb;12(1):229-237. doi: 10.1007/s11682-017-9685-z.
7
Neural pathways subserving face-based mentalizing.服务于基于面部的心理理论的神经通路。
Brain Struct Funct. 2017 Sep;222(7):3087-3105. doi: 10.1007/s00429-017-1388-0. Epub 2017 Feb 27.
8
The social brain network in 22q11.2 deletion syndrome: a diffusion tensor imaging study.22q11.2 缺失综合征的社会大脑网络:一项弥散张量成像研究。
Behav Brain Funct. 2017 Feb 16;13(1):4. doi: 10.1186/s12993-017-0122-7.
9
The visual white matter: The application of diffusion MRI and fiber tractography to vision science.视觉白质:扩散磁共振成像和纤维束成像在视觉科学中的应用。
J Vis. 2017 Feb 1;17(2):4. doi: 10.1167/17.2.4.
10
White Matter Abnormalities in Two Different Subtypes of Amnestic Mild Cognitive Impairment.遗忘型轻度认知障碍两种不同亚型中的白质异常
PLoS One. 2017 Jan 20;12(1):e0170185. doi: 10.1371/journal.pone.0170185. eCollection 2017.

白质通路与社会认知。

White matter pathways and social cognition.

机构信息

Department of Psychology, Temple University, Philadelphia, 19107, USA.

Department of Psychology, Temple University, Philadelphia, 19107, USA.

出版信息

Neurosci Biobehav Rev. 2018 Jul;90:350-370. doi: 10.1016/j.neubiorev.2018.04.015. Epub 2018 Apr 20.

DOI:10.1016/j.neubiorev.2018.04.015
PMID:29684403
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5993647/
Abstract

There is a growing consensus that social cognition and behavior emerge from interactions across distributed regions of the "social brain". Researchers have traditionally focused their attention on functional response properties of these gray matter networks and neglected the vital role of white matter connections in establishing such networks and their functions. In this article, we conduct a comprehensive review of prior research on structural connectivity in social neuroscience and highlight the importance of this literature in clarifying brain mechanisms of social cognition. We pay particular attention to three key social processes: face processing, embodied cognition, and theory of mind, and their respective underlying neural networks. To fully identify and characterize the anatomical architecture of these networks, we further implement probabilistic tractography on a large sample of diffusion-weighted imaging data. The combination of an in-depth literature review and the empirical investigation gives us an unprecedented, well-defined landscape of white matter pathways underlying major social brain networks. Finally, we discuss current problems in the field, outline suggestions for best practice in diffusion-imaging data collection and analysis, and offer new directions for future research.

摘要

越来越多的人认为,社会认知和行为源自“社交大脑”中分布区域的相互作用。研究人员传统上一直关注这些灰质网络的功能响应特性,而忽略了白质连接在建立这些网络及其功能方面的重要作用。在本文中,我们对社会神经科学中结构连接的先前研究进行了全面回顾,并强调了这一文献在阐明社会认知的大脑机制方面的重要性。我们特别关注三个关键的社会过程:面部处理、具身认知和心理理论,以及它们各自的基础神经网络。为了充分识别和描述这些网络的解剖结构,我们进一步在大量弥散加权成像数据上实施了概率追踪。深入的文献综述和实证研究的结合为我们提供了一个前所未有的、定义明确的主要社交大脑网络下白质通路全景图。最后,我们讨论了该领域当前存在的问题,概述了扩散成像数据收集和分析的最佳实践建议,并为未来的研究提供了新的方向。