Cargando…
Ontario Neurodegenerative Disease Research Initiative (ONDRI): Structural MRI Methods and Outcome Measures
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, Parkins...
Autores principales: | Ramirez, Joel, Holmes, Melissa F., Scott, Christopher J. M., Ozzoude, Miracle, Adamo, Sabrina, Szilagyi, Gregory M., Goubran, Maged, Gao, Fuqiang, Arnott, Stephen R., Lawrence-Dewar, Jane M., Beaton, Derek, Strother, Stephen C., Munoz, Douglas P., Masellis, Mario, Swartz, Richard H., Bartha, Robert, Symons, Sean, Black, Sandra E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431907/ https://www.ncbi.nlm.nih.gov/pubmed/32849254 http://dx.doi.org/10.3389/fneur.2020.00847 |
Ejemplares similares
-
Motor Phenotype in Neurodegenerative Disorders: Gait and Balance Platform Study Design Protocol for the Ontario Neurodegenerative Research Initiative (ONDRI)
por: Montero-Odasso, Manuel, et al.
Publicado: (2017) -
Structural Brain Magnetic Resonance Imaging to Rule Out Comorbid Pathology in the Assessment of Alzheimer’s Disease Dementia: Findings from the Ontario Neurodegenerative Disease Research Initiative (ONDRI) Study and Clinical Trials Over the Past 10 Years
por: Kapoor, Arunima, et al.
Publicado: (2020) -
Association of Dual-Task Gait Cost and White Matter Hyperintensity Burden Poststroke: Results From the ONDRI
por: Pieruccini-Faria, Frederico, et al.
Publicado: (2023) -
Cortical Thickness Estimation in Individuals With Cerebral Small Vessel Disease, Focal Atrophy, and Chronic Stroke Lesions
por: Ozzoude, Miracle, et al.
Publicado: (2020) -
Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation
por: Mojiri Forooshani, Parisa, et al.
Publicado: (2022)