Credibility, Replicability, and Reproducibility in Simulation for Biomedicine and Clinical Applications in Neuroscience
Year: 2018
Type: review
Abstract: Modeling and simulation in computational neuroscience is currently a research enterprise to better understand neural systems. It is not yet directly applicable to the problems of patients with brain disease. To be used for clinical applications, there must not only be considerable progress in the field but also a concerted effort to use best practices in order to demonstrate model credibility to regulatory bodies, to clinics and hospitals, to doctors, and to patients. In doing this for neuroscience, we can learn lessons from long-standing practices in other areas of simulation (aircraft, computer chips), from software engineering, and from other biomedical disciplines. In this manuscript, we introduce some basic concepts that will be important in the development of credible clinical neuroscience models: reproducibility and replicability; verification and validation; model configuration; and procedures and processes for credible mechanistic multiscale modeling. We also discuss how garnering strong community involvement can promote model credibility. Finally, in addition to direct usage with patients, we note the potential for simulation usage in the area of Simulation-Based Medical Education, an area which to date has been primarily reliant on physical models (mannequins) and scenario-based simulations rather than on numerical simulations.
Source: Frontiers in Neuroinformatics
Institutions: The University of Texas at Austin, Cleveland Clinic, Cleveland Clinic Research, University of California, San Francisco, Stanford University, Glenn Research Center, Thomas Jefferson University, State University of New York, SUNY Downstate Health Sciences University, Kings County Hospital Center
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,801
Funders: New York State Department of Health, National Institutes of Health, U.S. Army, National Heart, Lung, and Blood Institute, National Institute of Mental Health, National Institute of General Medical Sciences, National Institute of Biomedical Imaging and Bioengineering, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Medical Research and Materiel Command
Awards: G1282873254, G2183308570, G2424291703, Multiscale Model of the Vagal Outflow to the Heart, G3429610081, Simtk.org: A Resource to Enable Collaboration & Reproducibility of Biosimulations, G4233645168, Open Knee(s): Virtual Biomechanical Representations of the Knee Joint, G5515832752, G5531468297, G5850682332, G596396086, G5998106085, G6165030292, G6968819193, Comprehensive Structural and Functional Mapping of the Mammalian Cardiac Nervous System, G7699035011, G7792723812, G7801076271, G9000048708, G9000051027, G9000077481, G9000094723, G9000110277, G9000122132, G9000154844, G9000242018, G9000307935, G901697059
OpenAlex ID: W2802776909