Stephen Strother

Affiliations: 
University of Minnesota, Twin Cities, Minneapolis, MN 
Area:
Neuroscience Biology, Computer Science, Biomedical Engineering
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Publications

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Anteraper SA, Guell X, Lee YJ, et al. (2022) Cerebello-cerebral Functional Connectivity Networks in Major Depressive Disorder: a CAN-BIND-1 Study Report. Cerebellum (London, England)
Kayvanrad A, Arnott SR, Churchill N, et al. (2021) Resting state fMRI scanner instabilities revealed by longitudinal phantom scans in a multi-centre study. Neuroimage. 118197
Ozzoude M, Ramirez J, Raamana PR, et al. (2020) Cortical Thickness Estimation in Individuals With Cerebral Small Vessel Disease, Focal Atrophy, and Chronic Stroke Lesions. Frontiers in Neuroscience. 14: 598868
Raamana PR, Strother SC. (2020) Does size matter? The relationship between predictive power of single-subject morphometric networks to spatial scale and edge weight. Brain Structure & Function
Suh JS, Minuzzi L, Raamana PR, et al. (2020) An investigation of cortical thickness and antidepressant response in major depressive disorder: A CAN-BIND study report. Neuroimage. Clinical. 25: 102178
Suh JS, Minuzzi L, Raamana P, et al. (2019) F107. Cortical Thickness Features Differentiate 16-Week Antidepressant Response Profiles in Major Depressive Disorder Biological Psychiatry. 85: S254
Vaccarino AL, Dharsee M, Strother S, et al. (2018) Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data. Frontiers in Neuroinformatics. 12: 28
Chavez S, Viviano J, Zamyadi M, et al. (2017) A novel DTI-QA tool: Automated metric extraction exploiting the sphericity of an agar filled phantom. Magnetic Resonance Imaging
Montero-Odasso M, Pieruccini-Faria F, Bartha R, et al. (2017) Motor Phenotype in Neurodegenerative Disorders: Gait and Balance Platform Study Design Protocol for the Ontario Neurodegenerative Research Initiative (ONDRI). Journal of Alzheimer's Disease : Jad
Gorgolewski KJ, Alfaro-Almagro F, Auer T, et al. (2017) BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. Plos Computational Biology. 13: e1005209
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