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使用MNI MRI单受试者大脑的宏观解剖分割对SPM中的激活进行自动解剖标记。

Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain.

作者信息

Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, Mazoyer B, Joliot M

机构信息

Groupe d'Imagerie Neurofonctionnelle, UMR 6095 CNRS CEA, Université de Caen, Université de Paris 5, France.

出版信息

Neuroimage. 2002 Jan;15(1):273-89. doi: 10.1006/nimg.2001.0978.

DOI:10.1006/nimg.2001.0978
PMID:11771995
Abstract

An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute (MNI) (D. L. Collins et al., 1998, Trans. Med. Imag. 17, 463-468) was performed. The MNI single-subject main sulci were first delineated and further used as landmarks for the 3D definition of 45 anatomical volumes of interest (AVOI) in each hemisphere. This procedure was performed using a dedicated software which allowed a 3D following of the sulci course on the edited brain. Regions of interest were then drawn manually with the same software every 2 mm on the axial slices of the high-resolution MNI single subject. The 90 AVOI were reconstructed and assigned a label. Using this parcellation method, three procedures to perform the automated anatomical labeling of functional studies are proposed: (1) labeling of an extremum defined by a set of coordinates, (2) percentage of voxels belonging to each of the AVOI intersected by a sphere centered by a set of coordinates, and (3) percentage of voxels belonging to each of the AVOI intersected by an activated cluster. An interface with the Statistical Parametric Mapping package (SPM, J. Ashburner and K. J. Friston, 1999, Hum. Brain Mapp. 7, 254-266) is provided as a freeware to researchers of the neuroimaging community. We believe that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain in which deformations are well known. However, this tool does not alleviate the need for more sophisticated labeling strategies based on anatomical or cytoarchitectonic probabilistic maps.

摘要

对蒙特利尔神经学研究所(MNI)提供的空间归一化单受试者高分辨率T1体积进行了解剖学分割(D. L. 柯林斯等人,1998年,《医学影像传输》17卷,463 - 468页)。首先勾勒出MNI单受试者的主要脑沟,并将其进一步用作每个半球45个感兴趣解剖区域(AVOI)的三维定义的地标。此过程使用专门软件进行,该软件允许在编辑后的大脑上对脑沟走向进行三维追踪。然后使用同一软件在高分辨率MNI单受试者的轴向切片上每隔2毫米手动绘制感兴趣区域。重建了90个AVOI并为其分配了标签。使用这种分割方法,提出了三种对功能研究进行自动解剖标记的程序:(1)对由一组坐标定义的极值进行标记;(2)属于以一组坐标为中心的球体相交的每个AVOI的体素百分比;(3)属于与激活簇相交的每个AVOI的体素百分比。作为免费软件为神经影像学界的研究人员提供了与统计参数映射软件包(SPM,J. 阿什伯纳和K. J. 弗里斯顿,1999年,《人类脑图谱》7卷,254 - 266页)的接口。我们认为,与使用已知存在变形的Talairach图谱脑进行的标记相比,该工具在激活区域的宏观标记方面有所改进。然而,该工具并未减轻对基于解剖学或细胞构筑概率图谱的更复杂标记策略的需求。

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