DANIEL LUCAS DA CONCEICAO COSTA
Projetos de Pesquisa
Unidades Organizacionais
Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina
LIM/23 - Laboratório de Psicopatologia e Terapêutica Psiquiátrica, Hospital das Clínicas, Faculdade de Medicina
LIM/23 - Laboratório de Psicopatologia e Terapêutica Psiquiátrica, Hospital das Clínicas, Faculdade de Medicina
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- Toward identifying reproducible brain signatures of obsessive-compulsive profiles: rationale and methods for a new global initiative(2020) SIMPSON, Helen Blair; HEUVEL, Odile A. van den; MIGUEL, Euripedes C.; REDDY, Y. C. Janardhan; STEIN, Dan J.; LEWIS-FERNANDEZ, Roberto; SHAVITT, Roseli Gedanke; LOCHNER, Christine; POUWELS, Petra J. W.; NARAYANAWAMY, Janardhanan C.; VENKATASUBRAMANIAN, Ganesan; HEZEL, Dianne M.; VRIEND, Chris; BATISTUZZO, Marcelo C.; HOEXTER, Marcelo Q.; JOODE, Niels T. de; COSTA, Daniel Lucas; MATHIS, Maria Alice de; SHESHACHALA, Karthik; NARAYAN, Madhuri; BALKOM, Anton J. L. M. van; BATELAAN, Neeltje M.; VENKATARAM, Shivakumar; CHERIAN, Anish; MARINCOWITZ, Clara; PANNEKOEK, Nienke; STOVEZKY, Yael R.; MARE, Karen; LIU, Feng; OTADUY, Maria Concepcion Garcia; PASTORELLO, Bruno; RAO, Rashmi; KATECHIS, Martha; METER, Page Van; WALL, MelanieBackground Obsessive-compulsive disorder (OCD) has a lifetime prevalence of 2-3% and is a leading cause of global disability. Brain circuit abnormalities in individuals with OCD have been identified, but important knowledge gaps remain. The goal of the new global initiative described in this paper is to identify robust and reproducible brain signatures of measurable behaviors and clinical symptoms that are common in individuals with OCD. A global approach was chosen to accelerate discovery, to increase rigor and transparency, and to ensure generalizability of results. Methods We will study 250 medication-free adults with OCD, 100 unaffected adult siblings of individuals with OCD, and 250 healthy control subjects at five expert research sites across five countries (Brazil, India, Netherlands, South Africa, and the U.S.). All participants will receive clinical evaluation, neurocognitive assessment, and magnetic resonance imaging (MRI). The imaging will examine multiple brain circuits hypothesized to underlie OCD behaviors, focusing on morphometry (T1-weighted MRI), structural connectivity (Diffusion Tensor Imaging), and functional connectivity (resting-state fMRI). In addition to analyzing each imaging modality separately, we will also use multi-modal fusion with machine learning statistical methods in an attempt to derive imaging signatures that distinguish individuals with OCD from unaffected siblings and healthy controls (Aim #1). Then we will examine how these imaging signatures link to behavioral performance on neurocognitive tasks that probe these same circuits as well as to clinical profiles (Aim #2). Finally, we will explore how specific environmental features (childhood trauma, socioeconomic status, and religiosity) moderate these brain-behavior associations. Discussion Using harmonized methods for data collection and analysis, we will conduct the largest neurocognitive and multimodal-imaging study in medication-free subjects with OCD to date. By recruiting a large, ethno-culturally diverse sample, we will test whether there are robust biosignatures of core OCD features that transcend countries and cultures. If so, future studies can use these brain signatures to reveal trans-diagnostic disease dimensions, chart when these signatures arise during development, and identify treatments that target these circuit abnormalities directly. The long-term goal of this research is to change not only how we conceptualize OCD but also how we diagnose and treat it.
- Is it time to change the gold standard of obsessive-compulsive disorder severity assessment? Factor structure of the Yale-Brown Obsessive-Compulsive Scale(2020) FATORI, Daniel; COSTA, Daniel L. C.; ASBAHR, Fernando R.; FERRAO, Ygor A.; ROSARIO, Maria Conceicao; MIGUEL, Euripedes C.; SHAVITT, Roseli G.; BATISTUZZO, Marcelo C.Objectives: The Yale-Brown Obsessive-Compulsive Scale has been considered the gold standard scale to assess obsessive-compulsive disorder severity. Previous studies using exploratory factor analysis and confirmatory factor analysis with this scale showed mixed findings in terms of factor structure and fit of models. Therefore, we used confirmatory factor analysis to compare different Yale-Brown Obsessive-Compulsive Scale models in a large sample aiming to identify the best model fit. Methods: We assessed adult obsessive-compulsive disorder patients (n = 955) using three measures: Yale-Brown Obsessive-Compulsive Scale severity ratings, the Dimensional Yale-Brown Obsessive-Compulsive Scale and the clinical global impression scale. We tested all factor structures reported by previous studies to investigate which model best fitted the data: one-factor, two-factor, three-factor and their equivalent high-order solutions. We also investigated Yale-Brown Obsessive-Compulsive Scale items correlations with scores from the other measures of obsessive-compulsive disorder severity. Results: Confirmatory factor analysis models presented mediocre to fair goodness-of-fit indexes. Severity items related to resistance to obsessions and compulsions presented low factor loadings. The model with the best fit indexes was a high-order model without obsessive-compulsive disorder resistance items. These items also presented small correlations with other obsessive-compulsive disorder severity measures. Conclusion: The obsessive-compulsive disorder field needs to discuss further improvements in the Yale-Brown Obsessive-Compulsive Scale and/or continue to search for better measures of obsessive-compulsive disorder severity.
conferenceObject Efficacy and Safety of Transcranial Direct Current Stimulation as a Treatment for Obsessive-Compulsive Disorder: A Randomized, Sham-Controlled Trial(2020) SILVA, Renata; BRUNONI, Andre R.; GOERIGK, Stephan; BATISTUZZO, Marcelo; COSTA, Daniel; DINIZ, Juliana; PADBERG, Frank; D'URSO, Giordano; MIGUEL, Euripedes; SHAVITT, Roseli