672
Views
1
CrossRef citations to date
0
Altmetric
Articles

From Pathological Merger to a Reflective, Triangular Space: Parent-Infant Psychotherapy with a Mother with Borderline Personality Disorder

Pages 15-27 | Published online: 06 Mar 2018
 

ABSTRACT

This article looks at Parent-Infant Psychotherapy work with a mother with Borderline Personality Disorder and her infant son. Mother had suffered a traumatic childhood and, when her son was born, withdrew into a delusion of merger with him, avoiding what she experienced as a violent, threatening and confusing world. Drawing on psychoanalytic and attachment-mentalization theories and neuroscientific and developmental research, this article explores mother’s difficulties in acknowledging her baby as a separate being, and the impact this had on baby, who was slowly turning toward an autistic way of functioning. The article discusses the therapeutic challenges in creating a reflective, triangular space where both mother’s and baby’s experiences could be thought about and understood. Finally, the author considers an interpretative stance that includes both mother’s and baby’s shared and their separate experiences.

Acknowledgments

I would like to thank Michela Biseo for her clinical input on this case, and Tessa Baradon and Angela Joyce for their comments on an early draft of this article.

Notes

1 While the clinical work also involved the father, this article will only focus on the work with the mother and baby.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 160.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.