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基于人类连接组计划数据的胼胝体运动皮层相关区域的分割。

Parcellation of motor cortex-associated regions in the human corpus callosum on the basis of Human Connectome Project data.

机构信息

Functional Imaging Unit, Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Walther- Rathenau-Str. 46, 17475, Greifswald, Germany.

出版信息

Brain Struct Funct. 2019 May;224(4):1447-1455. doi: 10.1007/s00429-019-01849-1. Epub 2019 Feb 18.

Abstract

The corpus callosum (CC) is the largest white matter structure of the brain and offers the structural basis for an intense interaction between both cerebral hemispheres. Especially with respect to the interaction of both motor cortices it shows a differentiated somatotopic organization. Neuropathological processes are often reflected in structural alterations of the CC and a spatially precise description of structures for the healthy brain is essential for further differentiation of structural damage in patients. We performed a fine-grained parcellation of the CC on 1065 diffusion-weighted data sets of the Human Connectome Project. Interhemispheric tractograms between interhemispherically corresponding functional subdivisions of the primary motor cortex (M1; Brainnetome Atlas) were calculated, transformed into a common space, averaged and thresholded, to be assessed for localization, fractional anisotropy (FA) and mean diffusivity (MD). Spatially distinct CC regions for each functional M1 subdivision (lower and upper limbs, head/face, tongue/larynx) were identified and will be available as anatomical masks. Non-parametrical statistics for the average FA and MD values showed significant differences between all callosal regions. The newly proposed callosal regions allow for a precise differentiation of M1-M1 motor connectivity and the structural integrity of these tracts. Availability of masked regions in a common space will help to better understand inter-hemispherical callosal connectivity in patients or healthy volunteers.

摘要

胼胝体(CC)是大脑中最大的白质结构,为两个大脑半球之间的强烈相互作用提供了结构基础。特别是对于两个运动皮层之间的相互作用,它表现出分化的躯体定位组织。神经病理学过程通常反映在 CC 的结构改变中,因此对健康大脑结构进行空间精确描述对于进一步区分患者的结构损伤至关重要。我们在 1065 个人类连接组计划的弥散加权数据集上对 CC 进行了精细分割。计算了初级运动皮层(M1;脑图谱)的半球间功能亚区之间的半球间束图,将其转换到共同空间中进行平均和阈值处理,以评估定位、各向异性分数(FA)和平均弥散度(MD)。确定了每个功能 M1 亚区(上下肢、头/脸、舌/喉)的空间上不同的 CC 区域,并将其作为解剖掩模提供。平均 FA 和 MD 值的非参数统计显示所有胼胝体区域之间存在显著差异。新提出的胼胝体区域允许对 M1-M1 运动连接进行精确区分,并且这些束的结构完整性。在共同空间中提供掩模区域将有助于更好地理解患者或健康志愿者的半球间胼胝体连接。

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