Toward identifying reproducible brain signatures of obsessive-compulsive profiles: rationale and methods for a new global initiative

• Main Authors: Helen Blair Simpson, Odile A. van den Heuvel, Euripedes C. Miguel, Y. C. Janardhan Reddy, Dan J. Stein, Roberto Lewis-Fernández, Roseli Gedanke Shavitt, Christine Lochner, Petra J. W. Pouwels, Janardhanan C. Narayanawamy, Ganesan Venkatasubramanian, Dianne M. Hezel, Chris Vriend, Marcelo C. Batistuzzo, Marcelo Q. Hoexter, Niels T. de Joode, Daniel Lucas Costa, Maria Alice de Mathis, Karthik Sheshachala, Madhuri Narayan, Anton J. L. M. van Balkom, Neeltje M. Batelaan, Shivakumar Venkataram, Anish Cherian, Clara Marincowitz, Nienke Pannekoek, Yael R. Stovezky, Karen Mare, Feng Liu, Maria Concepcion Garcia Otaduy, Bruno Pastorello, Rashmi Rao, Martha Katechis, Page Van Meter, Melanie Wall
• Format: Article
• Language: English
• Published: BMC 2020-02-01
• Series: BMC Psychiatry
• Subjects: Obsessive-compulsive disorder; Neuroimaging; fMRI; Unaffected siblings; Brain signatures; Neurocognitive
• Online Access: https://doi.org/10.1186/s12888-020-2439-2

Abstract Background 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.