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. 2022 Aug 24:1:970385.
doi: 10.3389/fnimg.2022.970385. eCollection 2022.

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

Md Nasir Uddin  1   2   3 , Teresa D Figley  1   2   3 , Jennifer Kornelsen  1   2   3   4 , Erin L Mazerolle  5 , Carl A Helmick  6 , Christopher B O'Grady  7 , Salina Pirzada  3   4 , Ronak Patel  8 , Sean Carter  1   2   3 , Kaihim Wong  1   2   3 , Marco R Essig  1   2 , Lesley A Graff  8 , James M Bolton  9 , James J Marriott  10 , Charles N Bernstein  10 , John D Fisk  11 , Ruth Ann Marrie  10   12 , Chase R Figley  1   2   3   4
Affiliations

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

Md Nasir Uddin et al. Front Neuroimaging. .

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.

Keywords: MRI; brain; cognition; comorbidities; multiple sclerosis; neuroimaging.

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Conflict of interest statement

CNB has consulted to Abbvie Canada, Amgen Canada, Bristol Myers Squibb Canada, Janssen Canada, Pfizer Canada, Roche Canada, Sandoz Canada, Takeda Canada, Mylan Pharmaceuticals, and Avir Pharmaceuticals. He has received unrestricted educational grants from Abbvie Canada, Janssen Canada, Pfizer Canada, Takeda Canada and Bristol Myers Squibb Canada. He has received investigator initiated grants from Abbvie Canada, Pfizer Canada, Amgen Canada, and Sandoz Canada. He has been on speaker's bureau of Abbvie Canada, Janssen Canada, Pfizer Canada, and Takeda Canada. JF receives research grant support from the Canadian Institutes of Health Research (CIHR), the National Multiple Sclerosis Society, the Multiple Sclerosis Society of Canada, Crohn's and Colitis Canada, Research Nova Scotia; consultation and distribution royalties from MAPI Research Trust. CRF receives research funding from the Brain Canada Foundation, MS Society of Canada, Natural Sciences and Engineering Research Council of Canada (NSERC), Research Manitoba, and Health Sciences Centre Foundation. He also serves on the Editorial Board of Scientific Reports (Radiology Section) and is an Associate Editor for Frontiers in Neurology (Section on Applied Neuroimaging). ELM receives research funding from NSERC and St. Francis Xavier University, and other grant funding from the Council of Atlantic University Libraries. JK receives research funding from the MS Society of Canada, University of Manitoba and Health Sciences Centre Foundation. JMB receives research funding from CIHR, Brain and Behavior Research Foundation and the MS Society of Canada. JMM has conducted trials for Biogen Idec and Roche, and receives research funding from the MS Society of Canada. LAG receives research funding from CIHR, the MS Society of Canada and the Health Sciences Centre Foundation. She has consulted to Roche Canada. MRE receives research funding from Manitoba Public Insurance and the Brain Canada Foundation. He is the Deputy Editor for the Journal of Magnetic Resonance Imaging and serves on the Editorial Boards of Investigative Radiology, Insights into Imaging, and Der Radiologe. He has also served on both the Scientific Advisory Board and Imaging Biomarkers Subcommittee of the European Society of Radiology (ESR), and is currently a member of the Research Advisory Committee of the Radiological Society of North America (RSNA). He has received speaking honoraria from Bayer Healthcare, Canon Medical Systems, Olea Medical, and Siemens Healthcare. RAM receives research funding from CIHR, Research Manitoba, Multiple Sclerosis Society of Canada, Multiple Sclerosis Scientific Foundation, Crohn's and Colitis Canada, National Multiple Sclerosis Society, The Consortium of Multiple Sclerosis Centers, The Arthritis Society, US Department of Defense and UK MS Society. She serves on the Editorial Board of Neurology and Multiple Sclerosis Journal. She is a co-investigator on studies funded in part by Biogen Idec and Roche no funds to her or her institution. RP receives research funding from the Workers Compensation Board of Manitoba. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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References

    1. Ashburner J. (2007). A fast diffeomorphic image registration algorithm. Neuroimage 38, 95–113. 10.1016/j.neuroimage.2007.07.007 - DOI - PubMed
    1. Ashburner J., Friston K. J. (2000). Voxel-based morphometry—the methods. Neuroimage 11, 805–821. 10.1006/nimg.2000.0582 - DOI - PubMed
    1. Ashburner J., Friston K. J. (2011). Diffeomorphic registration using geodesic shooting and Gauss–Newton optimisation. Neuroimage 55, 954–967. 10.1016/j.neuroimage.2010.12.049 - DOI - PMC - PubMed
    1. Battaglini M., Jenkinson M., De Stefano N. (2012). Evaluating and reducing the impact of white matter lesions on brain volume measurements. Hum. Brain Mapp. 33, 2062–2071. 10.1002/hbm.21344 - DOI - PMC - PubMed
    1. Behzadi Y., Restom K., Liau J., Liu T. T. (2007). A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage 37, 90–101. 10.1016/j.neuroimage.2007.04.042 - DOI - PMC - PubMed

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