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在高分辨率群体模板中对人类杏仁核复合体亚区进行体内描绘。

In vivo delineation of subdivisions of the human amygdaloid complex in a high-resolution group template.

作者信息

Tyszka J Michael, Pauli Wolfgang M

机构信息

Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, California.

出版信息

Hum Brain Mapp. 2016 Nov;37(11):3979-3998. doi: 10.1002/hbm.23289.

Abstract

The nuclei of the human amygdala remain difficult to distinguish in individual subject structural magnetic resonance images. However, interpretation of the amygdala's role in whole brain networks requires accurate localization of functional activity to a particular nucleus or subgroup of nuclei. To address this, high spatial resolution, three-dimensional templates, using joint high accuracy diffeomorphic registration of T1- and T2-weighted structural images from 168 typical adults between 22 and 35 years old released by the Human Connectome Project were constructed. Several internuclear boundaries are clearly visible in these templates, which would otherwise be impossible to delineate in individual subject data. A probabilistic atlas of major nuclei and nuclear groups was constructed in this template space and mapped back to individual spaces by inversion of the individual diffeomorphisms. Group level analyses revealed a slight (∼2%) bias toward larger total amygdala and nuclear volumes in the right hemisphere. No substantial sex or age differences were found in amygdala volumes normalized to total intracranial volume, or subdivision volumes normalized to amygdala volume. The current delineation provides a finer parcellation of the amygdala with more accurate external boundary definition than current histology-based atlases when used in conjunction with high accuracy registration methods, such as diffeomorphic warping. These templates and delineation are intended to be an open and evolving resource for future functional and structural imaging studies of the human amygdala. Hum Brain Mapp 37:3979-3998, 2016. © 2016 Wiley Periodicals, Inc.

摘要

在个体受试者的结构磁共振图像中,人类杏仁核的核团仍然难以区分。然而,要解释杏仁核在全脑网络中的作用,就需要将功能活动准确地定位到特定的核团或核团子组。为了解决这个问题,利用人类连接体项目发布的168名年龄在22至35岁之间的典型成年人的T1加权和T2加权结构图像进行联合高精度微分同胚配准,构建了高空间分辨率的三维模板。在这些模板中,几个核间边界清晰可见,否则在个体受试者数据中是无法描绘的。在这个模板空间中构建了主要核团和核群的概率图谱,并通过个体微分同胚的逆运算映射回个体空间。组水平分析显示,右半球的杏仁核总体积和核团体积略有(约2%)偏大。在以总颅内体积归一化的杏仁核体积或杏仁核体积归一化的亚区体积中,未发现明显的性别或年龄差异。与基于组织学的图谱相比,当与高精度配准方法(如微分同胚变形)结合使用时,当前的描绘对杏仁核进行了更精细的分割,外部边界定义也更准确。这些模板和描绘旨在成为未来人类杏仁核功能和结构成像研究的一个开放且不断发展的资源。《人类大脑图谱》37:3979 - 3998,2016年。© 2016威利期刊公司

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