阿尔兹海默症脑网络演化建模

doi:10.11959/j.issn.2096-6652.201941

Abstract

Abstract:

As a common and frequently-occurring disease,Alzheimer’s disease seriously affects the quality and level of life of the middle-aged and elderly.An in-depth understanding of the pathogenesis and progression of Alzheimer’s disease is important for the development of prevention and treatment options.Most of the existing studies were based on the static property analysis of the brain network before and after the lesion,and dynamic evolutionary mechanism of the lesion process was usually neglected.A dynamic evolution model was proposed based on the level of brain networks of Alzheimer’s disease by analyzing the longitudinal development to simulate plastic changes of the process.Finally,the rationality of the model was verified by evaluating the evolutionary results from multiple perspectives.The study provides a new idea for early diagnosis,functional evaluation and prediction of Alzheimer’s disease.

Key words: Alzheimer’s disease, complex network, brain network, network modeling, dynamic evolution

CLC Number:

TP29

Bingjie NI,Wei LI,Xi CHEN. Brain network evolution modeling based on Alzheimer’s disease[J]. Chinese Journal of Intelligent Science and Technology, 2019, 1(4): 369-378.

Figures/Tables 12

References 23

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对比项	NC	EMCI	LMCI	AD
人数/人	36	37	33	35
性别（男/女）	16/20	17/20	18/15	16/19
年龄/岁	72.92±4.21	73.28±4.86	74.64±4.10	75.10±4.05
MMSE评分	28.87±1.32	28.01±1.53	27.62±1.64	22.72±2.86

对比项		演化阶段
对比项	NC→EMCI	EMCI→LMCI	LMCI→AD
低节点度节点占比变化趋势	从10%到9.02%，呈下降趋势	从9.02%到9.07%，基本持平	从9.07%到8.5%，呈下降趋势
高节点度节点占比变化趋势	从10%到9.4%，呈下降趋势	从9.4%到8.4%，呈下降趋势	从8.4%到9.05%，呈上升趋势

对比项		演化阶段
对比项	NC→EMCI	EMCI→LMCI	LMCI→AD
连边假设	低节点度节点相连	随机相连	高、低节点度节点相连
断边假设	高节点度节点断开	高节点度节点断开	随机断开

对比项	char	effi	clu	tran	sw
EMCI vs.NC	*		*	*	*
EMCI vs.LMCI					*
EMCI vs.AD
EMCI_evovs.NC	*		*		*
EMCI_evovs.LMCI			*		*
EMCI_evovs.AD
LMCI vs.NC	*	*	*	*	*
LMCI vs.AD					*
LMCI_evovs.NC	*		*	*	*
LMCI_evovs.EMCI			*		*
LMCI_evovs.AD					*
AD vs.NC	*	*	*	*	*
AD_evovs.NC	*	*	*	*	*
AD_evovs.EMCI
AD_evovs.LMCI					*

Brain network evolution modeling based on Alzheimer’s disease

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