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利用扩散成像将连接结构与灰质功能相关联。

Relating connectional architecture to grey matter function using diffusion imaging.

作者信息

Behrens T E J, Johansen-Berg H

机构信息

Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2005 May 29;360(1457):903-11. doi: 10.1098/rstb.2005.1640.

Abstract

Understanding brain function in terms of connectional architecture is a major goal of neuroimaging. However, direct investigation of the influence of brain circuitry on function has been hindered by the lack of a technique for exploring anatomical connectivity in the in vivo brain. Recent advances in magnetic resonance diffusion imaging have given scientists access to data relating to local white matter architecture and, for the first time, have raised the possibility of in vivo investigations into brain circuitry. This review investigates whether diffusion imaging may be used to identify regions of grey matter that are distinct in their connectional architecture, and whether these connectional differences are reflected either in local cytoarchitecture or in local grey matter function. Establishing a direct relationship between regional boundaries based on diffusion imaging and borders between regions that perform different functions would not only be of great significance when interpreting functional results, but would also provide a first step towards the validation of diffusion-based anatomical connectivity studies.

摘要

从连接结构的角度理解大脑功能是神经影像学的一个主要目标。然而,由于缺乏一种在活体大脑中探索解剖连接性的技术,对大脑神经回路对功能影响的直接研究受到了阻碍。磁共振扩散成像的最新进展使科学家能够获取与局部白质结构相关的数据,并且首次提出了对活体大脑神经回路进行研究的可能性。这篇综述探讨了扩散成像是否可用于识别在连接结构上不同的灰质区域,以及这些连接差异是否在局部细胞结构或局部灰质功能中得到体现。基于扩散成像确定区域边界与执行不同功能的区域边界之间的直接关系,不仅在解释功能结果时具有重要意义,而且还将为基于扩散的解剖连接性研究的验证迈出第一步。

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