基于静息态fMRI相位同步的ADHD儿童脑网络研究

doi:10.3969/j.issn.0258-8021.2020.03.02

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Abstract In this study, we explored the application of complex network methods based on phase synchronization of brain network mechanisms for attention deficit hyperactivity disorder (ADHD). A total of 135 patients with ADHD and 102 normal controls were selected as subjects. The time series of functional magnetic resonance images of these 237 subjects were used as research data to study the brain network of children with ADHD. The phase synchronization method was used to obtain the connection relationship of each pair of brain regions. The brain network was constructed by using this connection relationship. Then, the resting state brain function was evaluated by using the local efficiency index of the complex network, and statistical methods such as multiple linear regression and variance analysis are used to analyze whether there was a significant difference in the local efficiencies of patients with ADHD and normal controls in the resting brain region. There were no significant differences in age, gender, scale scores (inattention and impulsivity), and three IQ values (verbal IQ, performance IQ and full IQ) between patients with ADHD and normal controls. The significance of the study was statistically significant (P<0.05) in the diagnosis labels and head movement parameters. In terms of diagnosis, 11 brain regions with statistical difference (P<0.05) between the control group with normal local efficiency and the ADHD group were found, among which the main brain regions were: left cauda nucleus (0.118±0.317 vs 278±0.433), thalamus (0.345±0.425 vs 0.541±0.435), heschl gyrus (0.467±0.476 vs 0.654±0.444) and right dorsolateral superior frontal gyrus (0.536±0.401 vs 0.681±0.333), middle frontal gyrus (0.505±0.377 vs 0.641±0.331), caudate nucleus (0.144±0.329 vs 0.298±0.423). There is a significant difference in the local efficiency of the left anterior gyrus, caudate nucleus, thalamus between patients with ADHD and normal controls. These differences might be related to functional abnormalities in specific brain regions such as the caudate nucleusandthalamus, or neural network damage associated with patient attention and execution.

Key words： attention deficit/hyperactivity disorder (ADHD) phase synchronization local efficiency resting state fMRI

Received: 13 March 2019

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	Xu Jie
	Wang Xunheng
	Li Lihua

Cite this article:

Xu Jie,Wang Xunheng,Li Lihua. Investigating Brain Networks for ADHD Children Based on Phase Synchronization of Resting State fMRI[J]. Chinese Journal of Biomedical Engineering, 2020, 39(3): 265-270.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2020.03.02 OR http://cjbme.csbme.org/EN/Y2020/V39/I3/265

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