Ontario Neurodegenerative Disease Research Initiative (ONDRI): Structural MRI Methods and Outcome Measures.

Autor:	Ramirez J; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada., Holmes MF; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada., Scott CJM; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada., Ozzoude M; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada., Adamo S; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada., Szilagyi GM; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada., Goubran M; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada., Gao F; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada., Arnott SR; Rotman Research Institute, Baycrest, Toronto, ON, Canada., Lawrence-Dewar JM; Thunder Bay Regional Health Research Institute, Thunder Bay, ON, Canada., Beaton D; Rotman Research Institute, Baycrest, Toronto, ON, Canada., Strother SC; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.; Rotman Research Institute, Baycrest, Toronto, ON, Canada., Munoz DP; Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada., Masellis M; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.; Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada., Swartz RH; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.; Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada., Bartha R; Department of Medical Biophysics, Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada., Symons S; Department of Medical Imaging, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, ON, Canada., Black SE; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.; Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada.
Jazyk:	angličtina
Zdroj:	Frontiers in neurology [Front Neurol] 2020 Aug 11; Vol. 11, pp. 847. Date of Electronic Publication: 2020 Aug 11 (Print Publication: 2020).
DOI:	10.3389/fneur.2020.00847
Abstrakt:	The Ontario Neurodegenerative Research Initiative (ONDRI) is a 3 years multi-site prospective cohort study that has acquired comprehensive multiple assessment platform data, including 3T structural MRI, from neurodegenerative patients with Alzheimer's disease, mild cognitive impairment, Parkinson's disease, amyotrophic lateral sclerosis, frontotemporal dementia, and cerebrovascular disease. This heterogeneous cross-section of patients with complex neurodegenerative and neurovascular pathologies pose significant challenges for standard neuroimaging tools. To effectively quantify regional measures of normal and pathological brain tissue volumes, the ONDRI neuroimaging platform implemented a semi-automated MRI processing pipeline that was able to address many of the challenges resulting from this heterogeneity. The purpose of this paper is to serve as a reference and conceptual overview of the comprehensive neuroimaging pipeline used to generate regional brain tissue volumes and neurovascular marker data that will be made publicly available online. (Copyright © 2020 Ramirez, Holmes, Scott, Ozzoude, Adamo, Szilagyi, Goubran, Gao, Arnott, Lawrence-Dewar, Beaton, Strother, Munoz, Masellis, Swartz, Bartha, Symons, Black and the ONDRI Investigators.)
Databáze:	MEDLINE
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