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The remediation effects of working memory training in schizophrenia patients with prominent negative symptoms

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posted on 2019-11-01, 06:53 authored by Xu Li, Min-yi Chu, Qin-yu Lv, Hui-xin Hu, Zhi Li, Zheng-hui Yi, Jin-hong Wang, Jian-ye Zhang, Simon S. Y. Lui, Eric F. C. Cheung, David H. K. Shum, Raymond C. K. Chan

Introduction: Negative symptoms, particularly amotivation and anhedonia, are important predictors of poor functional outcome in patients with schizophrenia. There has been interest in the efficacy and mechanism of non-pharmacological interventions to alleviate these symptoms. The present study aimed to examine the remediation effect of working memory (WM) training in patients with schizophrenia with prominent negative symptoms.

Methods: Thirty-one schizophrenia patients with prominent negative symptoms were recruited and assigned to either a WM training group or a treatment-as-usual (TAU) control group. The WM training group underwent 20 sessions of training using the dual n-back task over one month. A functional neuroimaging paradigm of the Affective Incentive Delay (AID) task was administered before and after the training intervention to evaluate the remediation effect of the intervention.

Results: Our results showed that the WM training group demonstrated significant improvement in the WM training task and inattention symptoms. Compared with the TAU group, increased brain activations were observed at the right insula and the right frontal sub-gyral after WM training in the training group.

Conclusions: These findings support the efficacy of WM training in ameliorating hedonic dysfunction in schizophrenia patients with prominent negative symptoms.

Funding

This work was supported by National Natural Science Foundation of China [grant number 81571317 and 31700957]; Beijing Training Project for Leading Talents in S&T [grant number Z151100000315020]; CAS Key Laboratory of Mental Health, Institute of Psychology; National Key Research and Development Programme [grant number 2016YFC0906402]; Beijing Municipal Science and Technology Commission [grant number Z161100000216138].

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