Literature DB >> 34603547

Changes in Brain Functional Network Connectivity in Adult Moyamoya Diseases.

Gaoxing Zheng1, Yu Lei2, Yuzhu Li1, Wei Zhang1, Jiabin Su2, Xiaoying Qi1, Liang Chen2, Xin Zhang2, Yuxiang Gu2, Yuguo Yu1,3, Ying Mao2.   

Abstract

Moyamoya disease (MMD) is a cerebrovascular disease that is characterized by progressive stenosis or occlusion of the internal carotid arteries and its main branches, which leads to the formation of abnormal small collateral vessels. However, little is known about how these special vascular structures affect cortical network connectivity and brain function. By applying EEG analysis and graphic network analyses undergoing EEG recording of subjects with eyes-closed (EC) and eyes-open (EO) resting states, and working memory (WM) tasks, we examined the brain network features of hemorrhagic (HMMD) and ischemic MMD (IMMD) brains. For the first time, we observed that IMMD had the much lower alpha-blocking rate during EO state than healthy controls while HMMD exhibited the relatively low EEG activity rate across all the behavior states. Further, IMMD showed strong network connections in the alpha-wave band in frontal and parietal regions during EO and WM states. EEG frequency and network topological maps during both resting and WM states indicated that the left frontal lobe and left parietal lobe in HMMD patients and the right parietal lobe and temporal lobe in IMMD patients have clear differences compared with controls, which provides a new insight to understand distinct electrophysiological features of MMD. However, due to the small sample size of recruited patient subjects, the result conclusion may be limited. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1007/s11571-021-09666-1).
© The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021.

Entities:  

Keywords:  Alpha-blocking; Graph theory; Mean frequency; Moyamoya disease; Power spectrum

Year:  2021        PMID: 34603547      PMCID: PMC8448804          DOI: 10.1007/s11571-021-09666-1

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   3.473


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