4.6 Article

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

期刊

FRONTIERS IN NEUROLOGY
卷 11, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fneur.2020.00847

关键词

MRI; Alzheimer; Parkinson; amyotrophic lateral sclerosis; frontotemporal dementia; cerebrovascular disease; stroke; cerebral small vessel disease

资金

  1. Ontario Neurodegenerative Disease Research Initiative, through the Ontario Brain Institute
  2. government of Ontario
  3. Baycrest Foundation
  4. Bruyere Research Institute
  5. Centre for Addiction and Mental Health Foundation
  6. London Health Sciences Foundation
  7. McMaster University Faculty of Health Sciences
  8. Ottawa Brain and Mind Research Institute
  9. Queen's University Faculty of Health Sciences
  10. Thunder Bay Regional Health Sciences Centre
  11. University of Ottawa Faculty of Medicine
  12. Windsor/Essex County ALS Association
  13. Temerty Family Foundation

向作者/读者索取更多资源

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.

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