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The comorbidity and cognition in multiple sclerosis (CCOMS) neuroimaging protocol: Study rationale, MRI acquisition, and minimal image processing pipelines

Md Nasir Uddin, Teresa D. Figley, Jennifer Kornelsen, Erin L. Mazerolle, Carl Helmick, Christopher O'Grady, Salina Pirzada, Ronak Patel, Sean Carter, Kaihim Wong, Marco Essig, Lesley A. Graff, James M. Bolton, James Marriott, Çharles N. Bernstein, John D. Fisk, Ruth Ann Marrie, Chase R. Figley

2022Frontiers in Neuroimaging11 citationsDOIOpen Access PDF

Abstract

The Comorbidity and Cognition in Multiple Sclerosis (CCOMS) study represents a coordinated effort by a team of clinicians, neuropsychologists, and neuroimaging experts to investigate the neural basis of cognitive changes and their association with comorbidities among persons with multiple sclerosis (MS). The objectives are to determine the relationships among psychiatric (e.g., depression or anxiety) and vascular (e.g., diabetes, hypertension, etc.) comorbidities, cognitive performance, and MRI measures of brain structure and function, including changes over time. Because neuroimaging forms the basis for several investigations of specific neural correlates that will be reported in future publications, the goal of the current manuscript is to briefly review the CCOMS study design and baseline characteristics for participants enrolled in the three study cohorts (MS, psychiatric control, and healthy control), and provide a detailed description of the MRI hardware, neuroimaging acquisition parameters, and image processing pipelines for the volumetric, microstructural, functional, and perfusion MRI data.

Topics & Concepts

NeuroimagingCognitionMultiple sclerosisComorbidityFunctional neuroimagingMedicineAnxietyDepression (economics)PsychologyPhysical medicine and rehabilitationPsychiatryMacroeconomicsEconomicsMultiple Sclerosis Research StudiesUltrasound Imaging and ElastographyUltrasound and Hyperthermia Applications
The comorbidity and cognition in multiple sclerosis (CCOMS) neuroimaging protocol: Study rationale, MRI acquisition, and minimal image processing pipelines | Litcius