Global multi-center and multi-modal magnetic resonance imaging study of obsessive-compulsive disorder: Harmonization and monitoring of protocols in healthy volunteers and phantoms.

Journal: International journal of methods in psychiatric research

Volume: 32

Issue: 1

Year of Publication: 2023

Affiliated Institutions:  Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands. Department of Psychiatry, Department of Anatomy and Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands. Columbia University Irving Medical Center, Columbia University, New York State Psychiatric Institute, New York, NY, USA. Department of Radiology, LIM, Institute, Hospital Das Clinicas-HCFMUSP, University of Sao Paulo Medical School, Sao Paulo, Brazil. Cape Universities Body Imaging Centre, University of Cape Town, Cape Town, South Africa. National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India. Department of Psychiatry, SAMRC Unit on Risk & Resilience in Mental Disorders, Neuroscience Institute, University of Cape Town, Cape Town, South Africa. Obsessive-Compulsive Spectrum Disorders Program, Departmento de Psiquiatria da Faculdade de Medicina, LIM, Hospital Das Clinicas HCFMUSP, Universidade de São Paulo, Sao Paulo, SP, Brazil. Department of Psychiatry, SAMRC Unit on Risk & Resilience in Mental Disorders, Stellenbosch University, Cape Town, South Africa. Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute, Specialised Mental Health Care, Amsterdam, The Netherlands.

Abstract summary 

We describe the harmonized MRI acquisition and quality assessment of an ongoing global OCD study, with the aim to translate representative, well-powered neuroimaging findings in neuropsychiatric research to worldwide populations.We report on T1-weighted structural MRI, resting-state functional MRI, and multi-shell diffusion-weighted imaging of 140 healthy participants (28 per site), two traveling controls, and regular phantom scans.Human image quality measures (IQMs) and outcome measures showed smaller within-site variation than between-site variation. Outcome measures were less variable than IQMs, especially for the traveling controls. Phantom IQMs were stable regarding geometry, SNR, and mean diffusivity, while fMRI fluctuation was more variable between sites.Variation in IQMs persists, even for an a priori harmonized data acquisition protocol, but after pre-processing they have less of an impact on the outcome measures. Continuous monitoring IQMs per site is valuable to detect potential artifacts and outliers. The inclusion of both cases and healthy participants at each site remains mandatory.

Authors & Co-authors:  Pouwels Petra J W PJW Vriend Chris C Liu Feng F de Joode Niels T NT Otaduy Maria C G MCG Pastorello Bruno B Robertson Frances C FC Venkatasubramanian Ganesan G Ipser Jonathan J Lee Seonjoo S Batistuzzo Marcelo C MC Hoexter Marcelo Q MQ Lochner Christine C Miguel Euripedes C EC Narayanaswamy Janardhanan C JC Rao Rashmi R Janardhan Reddy Y C YC Shavitt Roseli G RG Sheshachala Karthik K Stein Dan J DJ van Balkom Anton J L M AJLM Wall Melanie M Simpson Helen Blair HB van den Heuvel Odile A OA

Study Outcome 

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Statistics
Citations :  Afyouni, S. , & Nichols, T. E. (2018). Insight and inference for DVARS. NeuroImage, 172, 291–312. 10.1016/j.neuroimage.2017.12.098
Authors :  24
Identifiers
Doi : e1931
SSN : 1557-0657
Study Population
Male,Female
Mesh Terms
Humans
Other Terms
DWI;fMRI;image quality measure;multi-vendor;structural MRI
Study Design
Cross Sectional Study
Study Approach
Country of Study
Publication Country
United States