Disconnection of Network Hubs Underlying the Executive Function Deficit in Patients with Ischemic Leukoaraiosis

Author:

Wang Mengxue1,Zhao Guofeng23,Jiang Ying4,Lu Tong5,Wang Yanjuan1,Zhu Yixin1,Zhang Zhengsheng1,Xie Chunming1,Wang Zan1,Ren Qingguo1

Affiliation:

1. Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China

2. Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China

3. Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Suzhou, China

4. Department of Neurology, The 962nd Hospital of the PLA Joint Logistic Support Force, Harbin, China

5. Department of Radiology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China

Abstract

Background: Cognitive impairment is the most common clinical manifestation of ischemic leukoaraiosis (ILA), but the underlying neurobiological pathways have not been well elucidated. Recently, it was thought that ILA is a “disconnection syndrome”. Disorganized brain connectome were considered the key neuropathology underlying cognitive deficits in ILA patients. Objective: We aimed to detect the disruption of network hubs in ILA patients using a new analytical method called voxel-based eigenvector centrality (EC) mapping. Methods: Subjects with moderate to severe white matters hyperintensities (Fazekas score ≥3) and healthy controls (HCs) (Fazekas score = 0) were included in the study. The resting-state functional magnetic resonance imaging and the EC mapping approach were performed to explore the alteration of whole-brain network connectivity in ILA patients. Results: Relative to the HCs, the ILA patients exhibited poorer cognitive performance in episodic memory, information processing speed, and executive function (all ps < 0.0125). Additionally, compared with HCs, the ILA patients had lower functional connectivity (i.e., EC values) in the medial parts of default-mode network (i.e., bilateral posterior cingulate gyrus and ventral medial prefrontal cortex [vMPFC]). Intriguingly, the functional connectivity strength at the right vMPFC was positively correlated with executive function deficit in the ILA patients. Conclusion: The findings suggested disorganization of the hierarchy of the default-mode regions within the whole-brain network in patients with ILA and advanced our understanding of the neurobiological mechanism underlying executive function deficit in ILA.

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

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