Testing the Stability and Validity of an Executive Dysfunction Classification Using Task-Based Assessment in Children and Adolescents.

OBJECTIVE: It is unclear if pediatric executive dysfunction assessed only with cognitive tasks predicts clinically relevant outcomes independently of psychiatric diagnoses. This study tested the stability and validity of a task-based classification of executive function. METHOD: A total of 2,207 individuals (6-17 years old) from the Brazilian High-Risk Cohort Study participated in this study (1,930 at baseline, 1,532 at follow-up). Executive function was measured using tests of working memory and inhibitory control. Dichotomized age- and sex-standardized performances were used as input in latent class analysis and receiver operating curves to create an executive dysfunction classification (EDC). The study tested EDC's stability over time, association with symptoms, functional impairment, a polymorphism in the CADM2 gene, polygenic risk scores (PRS), and brain structure. Analyses covaried for age, sex, social class, IQ, and psychiatric diagnoses. RESULTS: EDC at baseline predicted itself at follow-up (odds ratio [OR] = 5.11; 95% CI 3.41-7.64). Participants in the EDC reported symptoms spanning several domains of psychopathology and exhibited impairment in multiple settings, including more adverse school events (OR = 2.530; 95% CI 1.838-3.483). Children in the EDC presented higher attention-deficit/hyperactivity disorder and lower educational attainment PRS at baseline; higher schizophrenia PRS at follow-up; and lower chances of presenting a polymorphism in a gene previously linked to high performance in executive function (CADM2 gene). They also exhibited smaller intracranial volumes and smaller bilateral cortical surface areas in several brain regions. CONCLUSION: Task-based executive dysfunction is associated with several validators, independently of psychiatric diagnoses and intelligence. Further refinement of task-based assessments might generate clinically useful tools.

Empirically supported interventions in psychology: contributions of Research Domain Criteria.

Empirically supported interventions in psychological disorders should provide (1) evidence supporting the underlying psychological mechanisms of psychopathology to target in the intervention and (2) evidence supporting the efficacy of the intervention. However, research has been dedicated in a greater extent to efficacy than to the acquisition of empirical support for the theoretical basis of therapies. Research Domain Criteria (RDoC) emerges as a new framework to provide empirically based theories about psychological mechanisms that may be targeted in intervention and tested for its efficacy. The current review aims to demonstrate the possible applications of RDoC to design empirically supported interventions for psychological disorders. Two RDoC-inspired interventions are reviewed, and the RDoC framework is broadly explored in terms of its contributions and limitations. From preliminary evidence, RDoC offers many avenues for improving evidence-based interventions in psychology, but some limitations must be anticipated to increase the RDoC applicability to naturalistic settings.

Empirically supported interventions in psychology: contributions of Research Domain Criteria

Abstract Empirically supported interventions in psychological disorders should provide (1) evidence supporting the underlying psychological mechanisms of psychopathology to target in the intervention and (2) evidence supporting the efficacy of the intervention. However, research has been dedicated in a greater extent to efficacy than to the acquisition of empirical support for the theoretical basis of therapies. Research Domain Criteria (RDoC) emerges as a new framework to provide empirically based theories about psychological mechanisms that may be targeted in intervention and tested for its efficacy. The current review aims to demonstrate the possible applications of RDoC to design empirically supported interventions for psychological disorders. Two RDoC-inspired interventions are reviewed, and the RDoC framework is broadly explored in terms of its contributions and limitations. From preliminary evidence, RDoC offers many avenues for improving evidence-based interventions in psychology, but some limitations must be anticipated to increase the RDoC applicability to naturalistic settings. (AU)

In search of connection: towards a transdiagnostic view of dissociative phenomena through research domain criteria (RDOC) framework / Em busca de conexão: rumo a uma visão transdiagnóstica de fenômenos dissociativos mediante o paradigma do research domain criteria (RDOC) / En busca de conexión: hacia una visión transdiagnóstica de los fenómenos disociativos mediante el paradigma del research domain criteria (RDOC)

Current psychiatric nosological classifications maintain a heterogeneous categorical view of clinical presentations that contribute to overlapping symptoms across different disorders, thus influencing appropriate diagnosis and treatment. The United States National Institute of Mental Health (NIMH) proposed the Research Domain Criteria (RDoC) project as an alternative dimensional approach that comprises different units of analysis across psychopathology. Although it may represent a paradigm shift, investigations of its application for dissociative phenomena that are present in various clinical conditions are still lacking. The present review examines theoretical models of dissociation and their presence in a wide range of clinical conditions. The literature review indicated the suitability of a transdiagnostic concept of altered states of consciousness by considering dimensions of temporality, narrative, embodiment, affect, and intersubjectivity.

As classificações nosológicas psiquiátricas atuais mantêm uma visão categórica heterogênea das apresentações clínicas que contribuem para a sobreposição de sintomas entre diferentes distúrbios, influenciando, assim, o diagnóstico e o tratamento adequados. O United States National Institute of Mental Health (NIMH) propôs o projeto Research Domain Criteria (RDoC) como uma abordagem dimensional alternativa que engloba diferentes unidades de análise para a compreensão da psicopatologia. Embora essa perspectiva possa representar uma mudança de paradigma, ainda faltam investigações sobre sua aplicação para fenômenos dissociativos presentes em várias condições clínicas. A presente revisão analisa modelos teóricos de dissociação e sua presença em uma ampla gama de condições clínicas. A revisão da literatura indicou a adequação de um conceito transdiagnóstico de estados alterados de consciência, considerando dimensões de temporalidade, narrativa, corporificação, afeto e intersubjetividade.

Las clasificaciones nosológicas psiquiátricas actuales mantienen una visión categórica heterogénea de las presentaciones clínicas que contribuyen a la superposición de los síntomas en diferentes trastornos, lo que influye en el diagnóstico y el tratamiento adecuados. El United States National Institute of Mental Health (NIMH) propuso el proyecto Research Domain Criteria (RDoC) como un enfoque dimensional alternativo que comprende diferentes unidades de análisis para la comprensión de la psicopatología. Aunque esta perspectiva puede representar un cambio de paradigma, aún faltan investigaciones sobre su aplicación para los fenómenos disociativos que están presentes en diversas condiciones clínicas. La presente revisión examina modelos teóricos de disociación y su presencia en una amplia gama de condiciones clínicas. La revisión de la literatura indicó la idoneidad de un concepto trans diagnóstico de estados alterados de conciencia al considerar dimensiones de temporalidad, narrativa, corporificación, afecto e intersubjetividad.

Predictive modeling for classification of positive valence system symptom severity from initial psychiatric evaluation records.

In response to the challenges set forth by the CEGS N-GRID 2016 Shared Task in Clinical Natural Language Processing, we describe a framework to automatically classify initial psychiatric evaluation records to one of four positive valence system severities: absent, mild, moderate, or severe. We used a dataset provided by the event organizers to develop a framework comprised of natural language processing (NLP) modules and 3 predictive models (two decision tree models and one Bayesian network model) used in the competition. We also developed two additional predictive models for comparison purpose. To evaluate our framework, we employed a blind test dataset provided by the 2016 CEGS N-GRID. The predictive scores, measured by the macro averaged-inverse normalized mean absolute error score, from the two decision trees and Naïve Bayes models were 82.56%, 82.18%, and 80.56%, respectively. The proposed framework in this paper can potentially be applied to other predictive tasks for processing initial psychiatric evaluation records, such as predicting 30-day psychiatric readmissions.

RDoC and shift of reference.

OBJECTIVE: This paper aims to analyse in a philosophically informed way the recent National Institute of Mental Health proposal for the Research Domain Criteria (RDoC) framework. CONCLUSION: Current classification systems have helped unify psychiatry and the conditions that it is most concerned with. However, by relying too much on syndromes and symptoms, they too often do not define stable constructs. As a result, inclusions and removals from the manuals are not always backed by sound reasons. The RDoC framework is an important move towards ameliorating matters. This paper argues that it improves the current situation by re-referencing constructs to physical properties (biomarkers for disorders, for example), by allowing theoretical levels within the framework, and by treating psychiatry as a special case of the cognitive sciences.

Rumination in bipolar disorder: a systematic review

Objective:To conduct a systematic review of the literature about the symptom of rumination in bipolar disorder (BD).Methods:We searched the MEDLINE (PubMed), ISI Web of Knowledge, PsycINFO, and SciELO databases using the descriptors “rumination” and “bipolar disorder” and no time limits. This strategy yielded 105 references, of which 74 were selected. Inclusion criteria were studies involving patients with BD and the use of at least one validated scale for the assessment of rumination. Review articles were excluded. Seventeen articles were ultimately analyzed and included in the review.Results:Rumination is present in all BD phases, is a stable interepisodic symptom, is associated with symptoms of depression, anxiety, and hypomania, and may occur in response to both positive and negative affect. There is no research on rumination and neurobiological findings in patients with BD.Conclusions:Rumination seems to be independent of mood state, but shows close relationship with it. It is possible that rumination has a negative impact on cognitive and executive functions, particularly inhibitory control. Finally, rumination is an important symptom in both phases of BD, and, therefore, may be a useful target for further exploration as a dimensional domain and a transdiagnostic phenomenon in Research Domain Criteria (RDoC) projects.

Attention-based classification pattern, a research domain criteria framework, in youths with bipolar disorder and attention-deficit/hyperactivity disorder.

OBJECTIVE: The National Institute of Mental Health has initiated the Research Domain Criteria (RDoC) project. Instead of using disorder categories as the basis for grouping individuals, the RDoC suggests finding relevant dimensions that can cut across traditional disorders. Our aim was to use the RDoC's framework to study patterns of attention deficit based on results of Conners' Continuous Performance Test (CPT II) in youths diagnosed with bipolar disorder (BD), attention-deficit/hyperactivity disorder (ADHD), BD+ADHD and controls. METHOD: Eighteen healthy controls, 23 patients with ADHD, 10 with BD and 33 BD+ADHD aged 12-17 years old were assessed. Pattern recognition was used to partition subjects into clusters based simultaneously on their performance in all CPT II variables. A Fisher's linear discriminant analysis was used to build a classifier. RESULTS: Using cluster analysis, the entire sample set was best clustered into two new groups, A and B, independently of the original diagnoses. ADHD and BD+ADHD were divided almost 50% in each subgroup, and there was an agglomeration of controls and BD in group B. Group A presented a greater impairment with higher means in all CPT II variables and lower Children's Global Assessment Scale. We found a high cross-validated classification accuracy for groups A and B: 95.2%. Variability of response time was the strongest CPT II measure in the discriminative pattern between groups A and B. CONCLUSION: Our classificatory exercise supports the concept behind new approaches, such as the RDoC framework, for child and adolescent psychiatry. Our approach was able to define clinical subgroups that could be used in future pathophysiological and treatment studies.