文献阅读笔记
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
标签：morphological,Gender,differences,形态学,cortex,cortical,networks From： https://www.cnblogs.com/centimeter73/p/17015675.html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。