JOURNAL ARTICLE

A perspective on neurodivergent‐affirming relational practice: Exploration of identity and the healing process.

  • Published In: Counselling & Psychotherapy Research, 2024, v. 24, n. 4. P. 1141 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Fuld, Samantha; McKelvie, M. R. 3 of 3

Abstract

Background: This commentary examines the historic primacy of behavioural interventions in psychotherapeutic work with neurodivergent people. Such interventions have been increasingly criticised as failing to affirm aspects of neurodivergence as significant for one's identity and positive sense of self, instead emphasising conformity to socially and academically determined norms, which may not always be the goals of the individual engaging with therapy. Findings: Relational therapeutic interventions, which have not traditionally been centred in clinical approaches with this group of people, have great potential to address the inadequacies of more behaviourally oriented modalities as they were designed to address experiences of internalised stigma and invalidation, enhance a cohesive sense of self, affirm intersectional identity, tune into emotional experiences, and engage in healing through relationships and connection. Discussion: While further research is needed to support the efficacy of relational approaches in work alongside neurodivergent people, their application is promising and aligned with the expressed needs of this community. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Counselling & Psychotherapy Research. 2024/12, Vol. 24, Issue 4, p1141
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2024
  • ISSN:1473-3145
  • DOI:10.1002/capr.12792
  • Accession Number:180375935
  • Copyright Statement:Copyright of Counselling & Psychotherapy Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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