Aberrant Topological Patterns of Structural Cortical Networks in Psychogenic Erectile Dysfunction

doi:10.3389/fnhum.2015.00675

	Aberrant Topological Patterns of Structural Cortical Networks in Psychogenic Erectile Dysfunction
	Zhao, Lu 1; Guan, Min 2; Zhu, Xiaobo 3; Karama, Sherif 1,4; Khundrakpam, Budhachandra 1; Wang, Meiyun 2; Dong, Minghao 5; Qin, Wei 5; Tian, Jie 5,6; Evans, Alan C.1; Shi, Dapeng 2
发表期刊	FRONTIERS IN HUMAN NEUROSCIENCE
	2015-12-18
卷号	9 期号:157 页码:180-180
文章类型	Article
摘要	Male sexual arousal (SA) has been known as a multidimensional experience involving closely interrelated and coordinated neurobehavioral components that rely on widespread brain regions. Recent functional neuroimaging studies have shown relation between abnormal/altered dynamics in these circuits and male sexual dysfunction. However, alterations in the topological(1) organization of structural brain networks in male sexual dysfunction are still unclear. Here, we used graph theory(2) to investigate the topological properties of large-scale structural brain networks, which were constructed using inter-regional correlations of cortical thickness between 78 cortical regions in 40 patients with psychogenic erectile dysfunction (pED) and 39 normal controls. Compared with normal controls, pED patients exhibited a less optimal global topological organization with reduced global and increased local efficiencies. Our results suggest disrupted neural integration among distant brain regions in pED patients, consistent with previous reports of impaired white matter structure and abnormal functional integrity in pED. Additionally, disrupted global network topology in pED was observed to be primarily relevant to altered subnetwork and nodal properties within the networks mediating the cognitive, motivational and inhibitory processes of male SA, possibly indicating disrupted integration of these networks in the whole brain networks and might account for pED patients' abnormal cognitive, motivational and inhibitory processes for male SA. In total, our findings provide evidence for disrupted integrity in large-scale brain networks underlying the neurobehavioral processes of male SA in pED and provide new insights into the understanding of the pathophysiological mechanisms of pED.
关键词	Male Sexual Arousal Magnetic Resonance Imaging Network Topology Graph Theory Psychogenic Erectile Dysfunction
WOS标题词	Science & Technology ; Social Sciences ; Life Sciences & Biomedicine
DOI	10.3389/fnhum.2015.00675
关键词[WOS]	VISUAL SEXUAL STIMULI ; ANTERIOR CINGULATE CORTEX ; HUMAN CEREBRAL-CORTEX ; SMALL-WORLD NETWORKS ; BRAIN ACTIVATION ; QUANTITATIVE METAANALYSIS ; INTERNATIONAL INDEX ; FUNCTION IIEF ; HEALTHY-MEN ; HUMAN MALES
收录类别	SCI
语种	英语
项目资助者	Canadian Institutes of Health Research(CIHR-MOP 37754) ; Chinese Nature Science Foundation(81271534)
WOS研究方向	Neurosciences & Neurology ; Psychology
WOS类目	Neurosciences ; Psychology
WOS记录号	WOS:000367050400001
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/10647
专题	中国科学院分子影像重点实验室
通讯作者	Tian, Jie
作者单位	1.McGill Univ, Montreal Neurol Inst, McConnell Brain Imaging Ctr, Montreal, PQ, Canada 2.Henan Prov Peoples Hosp, Dept Radiol, Zhengzhou, Peoples R China 3.Henan Prov Peoples Hosp, Dept Urol, Zhengzhou, Peoples R China 4.McGill Univ, Douglas Mental Hlth Univ, Montreal, PQ, Canada 5.Xidian Univ, Sch Life Sci & Technol, Xian, Peoples R China 6.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Zhao, Lu,Guan, Min,Zhu, Xiaobo,et al. Aberrant Topological Patterns of Structural Cortical Networks in Psychogenic Erectile Dysfunction[J]. FRONTIERS IN HUMAN NEUROSCIENCE,2015,9(157):180-180.
APA	Zhao, Lu.,Guan, Min.,Zhu, Xiaobo.,Karama, Sherif.,Khundrakpam, Budhachandra.,...&Shi, Dapeng.(2015).Aberrant Topological Patterns of Structural Cortical Networks in Psychogenic Erectile Dysfunction.FRONTIERS IN HUMAN NEUROSCIENCE,9(157),180-180.
MLA	Zhao, Lu,et al."Aberrant Topological Patterns of Structural Cortical Networks in Psychogenic Erectile Dysfunction".FRONTIERS IN HUMAN NEUROSCIENCE 9.157(2015):180-180.

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