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We address how Transference Focused Psychotherapy (TFP) conceptualizes mechanisms in the cause and maintenance of borderline personality disorder (BPD) as well as change mechanisms both within the patient and in terms of specific therapists' interventions that engender patient change. Mechanisms of change at the level of the patient involve the integration of polarized representations of self and others; mechanisms of change at the level of the therapist's interventions include the structured treatment approach and the use of clarification, confrontation, and "transference" interpretations in the here and now of the therapeutic relationship. In addition, we briefly review evidence from our group regarding the following hypothesized mechanisms of change: contract setting, integration of representations, and changes in reflective functioning (RF) and affect regulation.

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This paper describes a specific psychoanalytic psychotherapy for patients with severe personality disorders, its technical approach and specific research projects establishing empirical evidence supporting its efficacy. This treatment derives from the findings of the Menninger Foundation Psychotherapy Research project, and applies a model of contemporary psychoanalytic object relations theory as its theoretical foundation. The paper differentiates this treatment from alternative psychoanalytic approaches, including other types of psychoanalytic psychotherapy as well as standard psychoanalysis, and from three alternative non-analytical treatments prevalent in the treatment of borderline patients, namely, dialectic behavior therapy, supportive psychotherapy based on psychoanalytic theory, and schema focused therapy. It concludes with indications and contraindications to this particular therapeutic approach derived from the clinical experience that evolved in the course of the sequence of research projects leading to the empirical establishment of its efficacy.

Borderline personality disorder (BPD) is characterized by considerable heterogeneity. Prior approaches to resolving heterogeneity in BPD pathology have used factor and cluster analytic as well as latent class analysis strategies. These prior studies have been atheoretical in nature, but provide an initial empirical corpus for further sub-typing efforts in BPD. A model-based taxonomy for BPD that is supported by evidence from an advanced statistical methodology would enhance investigations of BPD etiology, pathophysiology, and treatment. This study applied finite mixture modeling analysis, in a model-guided fashion, to selected dimensions of pathology within a group of well-characterized BPD patients to determine if latent groups are harbored within the disorder.Subjects with BPD (N = 90) were examined on a variety of model-relevant psychopathology dimensions. We applied finite mixture modeling to these dimensions. We then evaluated the validity of the obtained solution by reference to a variety of external measures not included in the initial mixture modeling.Three phenotypically distinct groups reside within the overall BPD category. Group-1 is characterized by low levels of antisocial, paranoid, and aggressive features. Group-2 is characterized by elevated paranoid features, whereas Group-3 is characterized by elevated antisocial and