Gender differences in cortical morphological networks

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留存信息

起始日期	终止日期
2022.12.29	2022.12.30

基本信息

期刊	影响因子/分区	题目	年份	作者	标签	类型	重要性	原文链接
Brain Imaging and Behavior	3.224/Q2(2022)	Gender differences in cortical morphological networks	2020	Ahmed Nebli&Islem Rekik	皮质形态网络，性别差异，脑沟深度	非综述	**	https://pubmed.ncbi.nlm.nih.gov/31102167/#:~:text=Gender differences in cortical morphological networks Cortical morphological,respect to gender differences in the human brain.

学习记录

研究问题

探究男女群体间存在显著性差异的大脑皮质形态学网络连接。

研究现状

原文：Cortical morphological networks (CMN) have not been investigated with respect to gender differences in the human brain.
转译：大脑皮质的形态学网络在性别差异上的研究尚未出现。

研究方法

研究内容	中文转译	原文描述
研究对象	分别构建基于四种不同形态学基本指标(最大主曲率、皮层厚度、脑沟深度、平均曲率)的脑连接网络。	We examined four cortical morphological networks each derived from a specific cortical measurements including (1) maximum principal curvature, (2) cortical thickness network, (3) sulcal depth network and (4) average curvature network in a well-matched sample of healthy men and women.

除了表中列出的内容外，本文在特征选择以及交叉验证方面做了一些创新，具体可参考原文。

研究结果

序号	中文转译	原文描述
1	男女群体间差异最显著的形态学脑连接位于大脑左半球。	the most discriminative CMN connections between males and females were derived from the left hemisphere.
2	综合大脑左、右半球来看，男女群体间差异最显著的形态学脑连接分别位于内嗅皮层->尾部前扣带皮层和内嗅皮层->横颞叶皮层。	for both left and right hemispheres, the first most discriminative morphological connection revealed across all cortical attributes involved (entorhinal cortex ↔ caudal anterior cingulate cortex) and (entorhinal cortex ↔ transverse temporal cortex) respectively
3	使用脑沟深度作为形态学脑连接网络构建指标时，分类器的性能最好。	SVM classifier achieved the best classification accuracy results when predicting gender from sulcal depth in both left and right hemispheres with a slightly better performance in the left hemisphere.

全文总结

原文：presented the first study to investigate the connectional morphology of the cortex responsible for gender differences using cortical morphological networks derived from a population of 698 individuals.
转译：第一次基于形态学脑连接网络对男女性别差异进行研究。