The Unbroken Circle: From Child Analysis to Mentalization-Based Treatment (MBT) with Children, Adolescents, and Families.
Published In: Psychodynamic Psychiatry, 2024, v. 52, n. 4. P. 452 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Midgley, Nick 3 of 3
Abstract
It is now more than 30 years since Peter Fonagy published his classic 1991 paper introducing the concept of "mentalization" into the psychoanalytic literature, and in the period since then mentalization-based treatment (MBT) has emerged as an important therapeutic approach. In reviewing the history of this treatment, it is often assumed that MBT emerged at the interface between three domains: first, the developmental research on theory of mind; second, the clinical challenges of treating borderline personality disorder; and third, the empirical research on intergenerational patterns of attachment. This article suggests that there was one more domain, which was equally important to the development of MBT and which is perhaps less widely recognized. This fourth domain was developments in child analysis, especially those taking place during the late 1980s and early 1990s at the Anna Freud Centre in London. Although the origins of MBT theory and technique in child work is perhaps not widely acknowledged, recognizing these roots helps us to better understand mentalizing therapy. It also enables us to see how the development of MBT for children, young people, and families can be understood as a closing of the circle in the development of mentalization-based interventions. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Psychodynamic Psychiatry. 2024/12, Vol. 52, Issue 4, p452
- Document Type:Article
- Subject Area:History
- Publication Date:2024
- ISSN:2162-2590
- DOI:10.1521/pdps.2024.52.4.452
- Accession Number:181680915
- Copyright Statement:Copyright of Psychodynamic Psychiatry is the property of Guilford Publications Inc. 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.