Structural disconnection of poststroke depression and cognitive dysfunction.
发布时间: 2024-05-20 11:05:53 作者: 来源:

Topic:  Structural disconnection of poststroke depression and cognitive dysfunction.

Moderator: Chao Xia, Post.doc 

Speaker 1 : Baoshuai Zhang, Ph.D. Candidate

Supervisor: Prof. Qiyong Gong

Speaker 2 : Zhiqin Liu, M.Med. Candidate

Supervisor: Prof. Su Lui


Date: 20/05/2024, 14:00

Location: The lab of HMRRC (10011, the 8th Teaching Building)




Speaker 1: Baoshuai Zhang, Ph.D. Candidate

Title: Structural disconnection-based prediction of poststroke depression.

Keypoints:

Backgrounds: Poststroke depression (PSD) is a common complication of stroke. Brain network disruptions caused by stroke are potential biological determinants of PSD but their conclusive roles are unavailable.

Aim: To identify the strategic structural disconnection (SDC) pattern for PSD at three months poststroke and assess the predictive value of SDC information.

Conclusion: A strategic SDC pattern involving multiple lobes bilaterally is identified for PSD at 3 months poststroke. The baseline SDC score is an independent predictor of PSD.

Meaning: These findings may improve the predictive performance of the clinicalsociodemographic- psychological prediction model, providing new evidence for the brain-behavior mechanism and biopsychosocial theory of PSD.


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Speaker 2: Zhiqin Liu, M.Med. Candidate

Title: Incremental Value of Stroke-Induced Structural Disconnection in Predicting Global Cognitive Impairment After Stroke.

Keypoints:

Backgrounds:  Poststroke cognitive impairment (PSCI) is highly prevalent in stroke survivors and correlated with unfavorable clinical outcomes.

Aim: To identify the neural substrate of PSCI using atlas-based disconnectome analysis and assess the value of disconnection score, a baseline measure for stroke-induced structural disconnection, in PSCI prediction.

Conclusion:

(1) Compared with lesions of non-PSCI, those of PSCI were more likely to have fiber connections with left prefrontal cortex and left deep structures (thalamus and basal ganglia).

(2) Disconnection score could predict the risk and severity of PSCI.

Meaning: The baseline disconnection score is independently predictive of PSCI and has significant incremental value to preexisting sociodemographic, clinical, and neuroimaging predictors.


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