A Quality-Based Review of Randomized Controlled Trials of Psychodynamic Psychotherapy

Objective: The Ad Hoc Subcommittee for Evaluation of the Evidence Base for Psychodynamic Psychotherapy of the APA Committee on Research on Psychiatric Treatments developed the Randomized Controlled Trial Psychotherapy Quality Rating Scale (RCT-PQRS). The authors report results from application of the RCT-PQRS to 94 randomized controlled trials of psychodynamic psychotherapy published between 1974 and May 2010. Method: Five psychotherapy researchers from a range of therapeutic orientations rated a single published paper from each study. Results: The RCT-PQRS had good interrater reliability and internal consistency. The mean total quality score was 25.1 (SD=8.8). More recent studies had higher total quality scores. Sixty-three of 103 comparisons between psychodynamic psychotherapy and a nondynamic comparator were of "adequate" quality. Of 39 comparisons of a psychodynamic treatment and an "active" comparator, six showed dynamic treatment to be superior, five showed dynamic treatment to be inferior, and 28 showed no difference (few of which were powered for equivalence). Of 24 adequate comparisons of psychodynamic psychotherapy with an "inactive" comparator, 18 found dynamic treatment to be superior. Conclusions: Existing randomized controlled trials of psychodynamic psychotherapy are promising but mostly show superiority of psychodynamic psychotherapy to an inactive comparator. This would be sufficient to make psychodynamic psychotherapy an "empirically validated" treatment (per American Psychological Association Division 12 standards) only if further randomized controlled trials of adequate quality and sample size replicated findings of existing positive trials for specific disorders. We do not yet know what will emerge when other psychotherapies are subjected to this form of quality-based review

ENIGMA-anxiety working group : Rationale for and organization of large-scale neuroimaging studies of anxiety disorders

Altres ajuts: Anxiety Disorders Research Network European College of Neuropsychopharmacology; Claude Leon Postdoctoral Fellowship; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, 44541416-TRR58); EU7th Frame Work Marie Curie Actions International Staff Exchange Scheme grant 'European and South African Research Network in Anxiety Disorders' (EUSARNAD); Geestkracht programme of the Netherlands Organization for Health Research and Development (ZonMw, 10-000-1002); Intramural Research Training Award (IRTA) program within the National Institute of Mental Health under the Intramural Research Program (NIMH-IRP, MH002781); National Institute of Mental Health under the Intramural Research Program (NIMH-IRP, ZIA-MH-002782); SA Medical Research Council; U.S. National Institutes of Health grants (P01 AG026572, P01 AG055367, P41 EB015922, R01 AG060610, R56 AG058854, RF1 AG051710, U54 EB020403).Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has informed our understanding of the neurobiology of anxiety disorders, but research has been limited by small sample sizes and low statistical power, as well as heterogenous imaging methodology. The ENIGMA-Anxiety Working Group has brought together researchers from around the world, in a harmonized and coordinated effort to address these challenges and generate more robust and reproducible findings. This paper elaborates on the concepts and methods informing the work of the working group to date, and describes the initial approach of the four subgroups studying generalized anxiety disorder, panic disorder, social anxiety disorder, and specific phobia. At present, the ENIGMA-Anxiety database contains information about more than 100 unique samples, from 16 countries and 59 institutes. Future directions include examining additional imaging modalities, integrating imaging and genetic data, and collaborating with other ENIGMA working groups. The ENIGMA consortium creates synergy at the intersection of global mental health and clinical neuroscience, and the ENIGMA-Anxiety Working Group extends the promise of this approach to neuroimaging research on anxiety disorders

Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning

Neuroanatomical findings on youth anxiety disorders are notoriously difficult to replicate, small in effect size and have limited clinical relevance. These concerns have prompted a paradigm shift toward highly powered (that is, big data) individual-level inferences, which are data driven, transdiagnostic and neurobiologically informed. Here we built and validated supervised neuroanatomical machine learning models for individual-level inferences, using a case–control design and the largest known neuroimaging database on youth anxiety disorders: the ENIGMA-Anxiety Consortium (N = 3,343; age = 10–25 years; global sites = 32). Modest, yet robust, brain-based classifications were achieved for specific anxiety disorders (panic disorder), but also transdiagnostically for all anxiety disorders when patients were subgrouped according to their sex, medication status and symptom severity (area under the receiver operating characteristic curve, 0.59–0.63). Classifications were driven by neuroanatomical features (cortical thickness, cortical surface area and subcortical volumes) in fronto-striato-limbic and temporoparietal regions. This benchmark study within a large, heterogeneous and multisite sample of youth with anxiety disorders reveals that only modest classification performances can be realistically achieved with machine learning using neuroanatomical data.NWORubicon 019.201SG.022Advanced Behavioural Research MethodsHealth and Well-bein

Mentalizing in interpersonal psychotherapy

Mentalization -- how we understand our own minds and those of others -- is an attachment-based normative cognitive and affective capacity central to mentalization-based therapies. Mentalization seems related to aspects of and may hold important potential implications for interpersonal psychotherapy (IPT). The IPT manual does not explicitly describe targeting improvement in mentalization but IPT may employ it as an underlying process. Recent mentalization theory emphasizes the applicability of a mentalization model to many if not all types of psychotherapy, and it may have particular value for affect-focused and socially focused psychotherapies like IPT despite its differences in focus and diagnostic targets from mentalization-based treatments. This article reviews the overlap of these approaches and suggests the potential that mentalization might mediate IPT outcome