Suppr超能文献

默认模式网络连接性:年龄、性别及分析方法的影响

Default mode network connectivity: effects of age, sex, and analytic approach.

作者信息

Bluhm Robyn L, Osuch Elizabeth A, Lanius Ruth A, Boksman Kristine, Neufeld Richard W J, Théberge Jean, Williamson Peter

机构信息

Department of Psychiatry, Schulich School of Medicine and Dentistry, Canada.

出版信息

Neuroreport. 2008 May 28;19(8):887-91. doi: 10.1097/WNR.0b013e328300ebbf.

Abstract

The 'default mode network' is a set of brain regions showing correlated, low-frequency activity during rest. It includes the posterior cingulate/precuneus, medial prefrontal cortex, and bilateral inferior parietal cortex. Earlier studies have characterized this network using either region of interest-based correlation analyses or data-driven techniques; however, there is some disagreement over which method is superior. We conducted both types of analysis on a large (N=40) data set and also investigated age and sex differences in the network. Both region of interest-based analyses and independent component analysis identified the default mode network. Age and sex differences were small and there was less agreement between analytic techniques regarding age and sex effects than regarding default mode network structure.

摘要

“默认模式网络”是一组在静息状态下显示出相关低频活动的脑区。它包括后扣带回/楔前叶、内侧前额叶皮质和双侧下顶叶皮质。早期研究使用基于感兴趣区域的相关性分析或数据驱动技术对该网络进行了特征描述;然而,对于哪种方法更优越存在一些分歧。我们对一个大型(N = 40)数据集进行了这两种类型的分析,并研究了该网络中的年龄和性别差异。基于感兴趣区域的分析和独立成分分析都识别出了默认模式网络。年龄和性别差异较小,并且在年龄和性别效应方面,分析技术之间的一致性低于在默认模式网络结构方面的一致性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验