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一种用于人类感觉运动皮层的新型 2D 标准笛卡尔表示方法。

A Novel 2D Standard Cartesian Representation for the Human Sensorimotor Cortex.

机构信息

Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, PO Box 85500, 3508, GA, Utrecht, The Netherlands.

出版信息

Neuroinformatics. 2020 Apr;18(2):283-293. doi: 10.1007/s12021-019-09441-y.

DOI:10.1007/s12021-019-09441-y
PMID:31797264
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7083812/
Abstract

For some experimental approaches in brain imaging, the existing normalization techniques are not always sufficient. This may be the case if the anatomical shape of the region of interest varies substantially across subjects, or if one needs to compare the left and right hemisphere in the same subject. Here we propose a new standard representation, building upon existing normalization methods: Cgrid (Cartesian geometric representation with isometric dimensions). Cgrid is based on imposing a Cartesian grid over a cortical region of interest that is bounded by anatomical (atlas-based) landmarks. We applied this new representation to the sensorimotor cortex and we evaluated its performance by studying the similarity of activation patterns for hand, foot and tongue movements between subjects, and similarity between hemispheres within subjects. The Cgrid similarities were benchmarked against the similarities of activation patterns when transformed into standard MNI space using SPM, and to similarities from FreeSurfer's surface-based normalization. For both between-subject and between-hemisphere comparisons, similarity scores in Cgrid were high, similar to those from FreeSurfer normalization and higher than similarity scores from SPM's MNI normalization. This indicates that Cgrid allows for a straightforward way of representing and comparing sensorimotor activity patterns across subjects and between hemispheres of the same subjects.

摘要

对于脑成像中的一些实验方法,现有的归一化技术并不总是足够的。如果感兴趣区域的解剖形状在不同的对象之间有很大的变化,或者如果需要在同一个对象中比较左右半球,那么可能就是这种情况。在这里,我们提出了一种新的标准表示方法,建立在现有的归一化方法之上:Cgrid(具有等距尺寸的笛卡尔几何表示)。Cgrid 基于在由解剖学(基于图谱)地标定义的感兴趣的皮质区域上施加笛卡尔网格。我们将这种新的表示方法应用于感觉运动皮层,并通过研究手、脚和舌头运动在对象之间的激活模式的相似性以及对象内部半球之间的相似性来评估其性能。Cgrid 的相似性与使用 SPM 转换为标准 MNI 空间时的激活模式相似性以及 FreeSurfer 基于表面的归一化的相似性进行了基准测试。对于在对象之间和同一对象的半球之间的比较,Cgrid 中的相似性得分很高,与 FreeSurfer 归一化的相似性得分相似,并且高于 SPM 的 MNI 归一化的相似性得分。这表明 Cgrid 允许以一种直接的方式表示和比较对象之间和同一对象的半球之间的感觉运动活动模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/969776da6328/12021_2019_9441_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/220b94147bf9/12021_2019_9441_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/ce12122f296a/12021_2019_9441_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/345519a399ee/12021_2019_9441_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/21f9e0e20240/12021_2019_9441_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/c80932df4df0/12021_2019_9441_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/fb9ec2610285/12021_2019_9441_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/969776da6328/12021_2019_9441_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/220b94147bf9/12021_2019_9441_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/ce12122f296a/12021_2019_9441_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/345519a399ee/12021_2019_9441_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/21f9e0e20240/12021_2019_9441_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/c80932df4df0/12021_2019_9441_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/fb9ec2610285/12021_2019_9441_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4df0/7083812/969776da6328/12021_2019_9441_Fig7_HTML.jpg

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