Literature DB >> 28579492

Characterizing the course of non-suicidal self-injury: A cognitive neuroscience perspective.

Richard T Liu1.   

Abstract

Non-suicidal self-injury (NSSI) has received increasing recognition as a clinically significant phenomenon. Although in most individuals who engage in NSSI, this behavior is short-lived, for a significant proportion of these individuals, NSSI follows a chronic course. There is a need for research advancing our understanding of the mechanisms of risk for NSSI, and how these mechanisms may change over time to account for the persistence of this behavior. In the current paper, a conceptual framework is proposed for characterizing the processes underlying the transition from initial engagement in NSSI to a chronic trajectory of this behavior. In particular, a case is made for conceptualizing NSSI as a habitual behavior as defined within a cognitive neuroscience perspective, with support from the existing theoretical and empirical literature. Finally, potential mechanisms are articulated for the development of chronic NSSI within this conceptual framework and recommendations presented for empirically evaluating this conceptualization of NSSI in future research in this area.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  RDoC; behavioral habituation; dorsal striatum; neural mechanisms; non-suicidal self-injury; ventral striatum

Mesh:

Year:  2017        PMID: 28579492      PMCID: PMC5705419          DOI: 10.1016/j.neubiorev.2017.05.026

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  6 in total

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4.  Default mode and salience network alterations in suicidal and non-suicidal self-injurious thoughts and behaviors in adolescents with depression.

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5.  Assessing Clinical Features of Adolescents Suffering from Depression Who Engage in Non-Suicidal Self-Injury.

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6.  Psycho-Behavioral Profiles of Pediatric Inpatients with Past and Recent Onset of Nonsuicidal Self-Injury: A Cluster Analysis Approach.

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  6 in total

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