SOCR News MDS 2020 BigData

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SOCR News & Events: What is Big Neuro Data? Where is it? How to Use it? Why is it Important?

Logistics


Abstract

This talk will present the pillars and rationale of Big Neuroscience Data and Open Science. We will focus on the important characteristics of biomedical and health challenges and sharing of sensitive information. We will review some case-studies illustrating applications to Neurodegenerative Disease (Parkinson’s disease) and Population Census-like Neuroscience (UK Biobank).

References

  • Dinov, ID, Heavner, B, Tang, M, Glusman, G, Chard, K, Darcy, M, Madduri, R, Pa, J, Spino, C, Kesselman, C, Foster, I, Deutsch, EW, Price, ND, Van Horn, JD, Ames, J, Clark, K, Hood, L, Hampstead, BM, Dauer, W, and Toga, AW. (2016) Predictive Big Data Analytics: A Study of Parkinson's Disease using Large, Complex, Heterogeneous, Incongruent, Multi-source and Incomplete Observations. PLoS ONE, 11(8):1-28, e0157077. DOI: 10.1371/journal.pone.0157077.
  • Fu KA, Nathan R, Dinov I, Li J, Toga AW. (2016) T2-Imaging Changes in the Nigrosome-1 Relate to Clinical Measures of Parkinson’s Disease. Frontiers in Neurology, 7(174):1-27. DOI: 10.3389/fneur.2016.00174.
  • Gao C, Sun H, Wang T, Tang M, Bohnen NI, Müller MLTM, Herman, T, Giladi, N. Kalinin, A, Spino, C, Dauer, W, Hausdorff, JM, Dinov, ID. (2018) Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson’s Disease, Scientific Reports, 8(1):7129. DOI: 10.1038/s41598-018-24783-4 2018.


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