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Resting-state Neural Networks and Granger Causal Connectivity for Patients with Cognitive Impairment Associated with Leukoaraiosis / 中国康复理论与实践
Chinese Journal of Rehabilitation Theory and Practice ; (12): 271-278, 2019.
Article in Chinese | WPRIM | ID: wpr-905515
ABSTRACT

Objective:

To compare the difference in resting state networks among leukoaraiosis (LA) patients with or without mild cognitive impairment, and healthy controls, as well as the functional connectivity under Granger causality analysis (GCA).

Methods:

Subjects aged 40 to 80 years, including 34 LA-MCI patients, 15 LA patients with normal cognition and 33 healthy controls, accepted resting-state functional magnetic resonance imaging. Independent component analysis was used to separate functional brain networks, and difference of activation was determined with two sample t-test. GCA was used to analyze effective connectivity of these functional networks.

Results:

Eight resting state networks were obtained, including default mode network, motor network, medial visual network, lateral visual network, right-memory network, left-memory network, auditory network and executive network. Activation was different among three groups. Effective connectivity of RSNs was also different among three groups.

Conclusion:

Components of the resting state networks keep changing as LA progressing. Activation decreases as patients' cognition impaired. The direction and strength of connections remodel.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Rehabilitation Theory and Practice Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Rehabilitation Theory and Practice Year: 2019 Type: Article