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Abnormal brain activity in nonsuicidal self-injury:a coordinate-based activation likelihood meta-analysis of functional neuroimaging studies

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摘要 Background:The high prevalence of nonsuicidal self-injury(NSSI)in youths demonstrates a substantial population-level burden on society.NSSI is often associated with emotional and social skill deficits.To date,several studies have aimed to identify the underlying neural mechanism of those deficits in NSSI by using functional magnetic resonance imaging(fMRI).However,their conclusions display poor consistency.Objective:We aimed to conduct ameta-analysis using activation likelihood estimation(ALE)for fMRI data based on emotional and cognitive tasks to clarify the underlying neural processing deficits of NSSI.Methods:We searched for MRI studies of NSSI in the PubMed,Cochrane,and Embase databases.We identified significant foci for the included studies and conducted two ALE meta-analyses as follows:(i)activation for the NSSI contrast healthy control group and(ii)deactivation for the NSSI contrast healthy controls.Considering the diverse sex composition of study participants and possible bias from one large sample study,we conducted sensitivity analyses for the meta-analysis.Results:Nine studies comprising 359 participants were included,and the results demonstrated substantial activation in NSSI patients compared with healthy controls in two clusters located in the right medial frontal gyrus extending to the rostral anterior cingulate and the left inferior frontal gyrus extending to the insula.Conclusions:The results suggest that individuals with NSSI show brain activity alterations that underpin their core symptoms,including poor emotional regulation and reward processing deficits.Our findings provide new insights into the neuralmechanism of NSSI,whichmay serve as functional biomarkers for developing effective diagnosis and therapeutic interventions for these patients.
出处 《Psychoradiology》 2021年第4期249-256,共8页 精神影像学(英文)
基金 supported by the Sichuan Provincial Science and Technology Support Program(Grant ID:2019YFS0218,2020YFS0587).
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