Identifying Sex Differences in Resting-State unctional Networks: a Machine Learning Study

摘要：

Background. Recently, there has been a growing interest in identifying sex differences in human brain function based on neuroimaging data. Sex differences have been documented across cognitive domains. A consistent finding is that men perform better on spatial tasks, whereas women outperform men on some verbal and memory tasks. The present study aimed at investigating sex differences underlying the neural activity in resting-state using functional magnetic resonance imaging (fMRI).

作者: Feng Tang Lubin Wang Hui Shen Dewen Hu Yufeng Zang

作者单位: College of Mechatronics and Automation, National University of Defense Technology, Changsha National Lab of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing

会议类型: 国际会议

会议名称: The 7th International Conference on Cognitive Science(第七届国际认知科学大会 ICCS 2010)

会议地点: 北京

会议语种:英文

页码: 364-365

在线出版日期: 2010-08-01（万方平台首次上网日期，不代表论文的发表时间）