Altered White Matter Structural Network Connectivity Associated with Cognitive Declines in Psychogenic Erectile Dysfunction.

Neuroscience(2023)

引用 0|浏览3
暂无评分
摘要
It has been reported that individuals with psychogenic erectile dysfunction (pED) potentially suffer from cognitive declines. Despite that increasing neuroimaging studies have demonstrated abnormalities of cerebral structural changes in pED, the association between altered white matter (WM) structural network and cognitive impairments remains unclear. Hence, this study aimed to explore the relationship between WM structural network connectivity and cognitive performance in patients with pED. Forty pED patients and 33 healthy controls (HCs) were recruited to perform cognitive assessments, and diffusion tensor imaging scans. We firstly constructed the WM structural network and applied the machine learning method to identify the important features. Then, we examined group differences in cognitive assessments, WM structural network connectivity within the identified features, and associations between altered WM structural network connectivity and cognitive scores in pED patients. From 26,896 features of DTI data, 24 important features were identified by K-Nearest Neighbor classification with a satisfactory accuracy (78%). Compared with HCs, we found that pED patients showed higher fractional anisotropy (FA) values between left transverse temporal sulcus and left supramarginal gyrus, and lower FA values between left suborbital sulcus and left para-hippocampal part of the medial occipito-temporal gyrus in pED patients. Furthermore, the increased FA between left transverse temporal sulcus and left supramarginal gyrus was observed to be negatively associated with impaired delayed memory. Overall, our findings provide new insights into WM network alterations associated with impaired cognitive functions in pED, which may unravel the potential neural mechanisms underlying the cognitive impairments of pED patients.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要