Suppr超能文献

一种基于变形的方法,用于描述不同空间分辨率尺度下的大脑不对称性特征。

A deformation-based approach for characterizing brain asymmetries at different spatial scales of resolution.

机构信息

Department of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina, Charleston, S.C., 29412, United States.

Department of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina, Charleston, S.C., 29412, United States.

出版信息

J Neurosci Methods. 2019 Jul 1;322:1-9. doi: 10.1016/j.jneumeth.2019.04.007. Epub 2019 Apr 15.

Abstract

BACKGROUND

Structural cerebral asymmetries are hypothesized to provide an architectural foundation for functional asymmetries and behavioral lateralities. Studies of structural asymmetries typically focus on gray matter measures that are influenced by gross deformation fields used for normalization, and thus characterize a combination of different morphologic influences on structural asymmetries.

NEW METHOD

A deformation-based morphometry approach was developed to characterize structural asymmetries at different spatial scales of resolution, which can provide relatively more specific inference about the morphologic reason(s) for structural asymmetries, using a dataset of 347 typically developing children (7.00-12.92 years).

RESULTS

Significant structural asymmetries were observed for a larger lobar spatial scale (e.g., frontal petalia) and for a smaller gyral/sulcal spatial scale of resolution (e.g., marginal sulcus). Total intracranial volume was significantly associated with asymmetries at the larger spatial scale of normalization, while age was significantly associated with asymmetries at the smaller scale of normalization. There were no significant anti- or fluctuating asymmetry effects based on Hartigan Dip Tests and Bonnett Tests, respectively.

COMPARISON WITH EXISTING METHOD(S): While spatially similar asymmetries were observed in both gray matter and deformation field data (e.g., medial planum temporale/Heschl's gyrus), the deformation approach characterizes asymmetries based on three iterations of successively smaller scales of normalization.

CONCLUSIONS

Structural asymmetries can be identified in normalization deformations with a procedure that is tailored for sensitivity to structures at different spatial scales of resolution where there may be different mechanisms for the expression of asymmetry.

摘要

背景

结构上的大脑不对称被假设为功能不对称和行为偏侧性的结构基础。结构不对称的研究通常集中在受用于归一化的总体变形场影响的灰质测量上,因此描述了对结构不对称的不同形态影响的组合。

新方法

开发了一种基于变形的形态计量学方法来描述不同分辨率空间尺度的结构不对称性,该方法可以使用 347 名典型发育儿童(7.00-12.92 岁)的数据集,对结构不对称的形态原因提供相对更具体的推断。

结果

观察到较大的脑叶空间尺度(例如,额部花瓣)和较小的回沟空间尺度(例如,边缘沟)存在显著的结构不对称性。总颅内体积与较大归一化空间尺度的不对称性显著相关,而年龄与较小归一化空间尺度的不对称性显著相关。根据 Hartigan Dip 测试和 Bonnett 测试,没有观察到显著的反不对称或波动不对称效应。

与现有方法的比较

虽然在灰质和变形场数据中观察到了空间上相似的不对称性(例如,内侧颞叶平面/海希氏回),但变形方法的特征是基于归一化的三个连续较小尺度的不对称性。

结论

可以在归一化变形中识别结构不对称性,该过程针对不同分辨率空间尺度的结构具有敏感性,其中可能存在不同的表达不对称机制。

相似文献

本文引用的文献

4
Knowing left from right: asymmetric functional connectivity during resting state. 辨明左右:静息状态下的功能连接不对称性。
Brain Struct Funct. 2018 May;223(4):1909-1922. doi: 10.1007/s00429-017-1604-y. Epub 2018 Jan 4.
7
Ontogenesis of Lateralization.侧化发生学。
Neuron. 2017 Apr 19;94(2):249-263. doi: 10.1016/j.neuron.2017.02.045.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验