Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain.

Autor:	Stefanovski L; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany., Meier JM; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany., Pai RK; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany.; Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany., Triebkorn P; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany.; Institut de Neurosciences des Systèmes, Aix Marseille Université, Marseille, France., Lett T; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany., Martin L; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany., Bülau K; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany., Hofmann-Apitius M; Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany., Solodkin A; Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, United States., McIntosh AR; Baycrest Health Sciences, Rotman Research Institute, Toronto, ON, Canada., Ritter P; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany.; Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany.; Einstein Center for Neuroscience Berlin, Berlin, Germany.; Einstein Center Digital Future, Berlin, Germany.
Jazyk:	angličtina
Zdroj:	Frontiers in neuroinformatics [Front Neuroinform] 2021 Apr 01; Vol. 15, pp. 630172. Date of Electronic Publication: 2021 Apr 01 (Print Publication: 2021).
DOI:	10.3389/fninf.2021.630172
Abstrakt:	Despite the acceleration of knowledge and data accumulation in neuroscience over the last years, the highly prevalent neurodegenerative disease of AD remains a growing problem. Alzheimer's Disease (AD) is the most common cause of dementia and represents the most prevalent neurodegenerative disease. For AD, disease-modifying treatments are presently lacking, and the understanding of disease mechanisms continues to be incomplete. In the present review, we discuss candidate contributing factors leading to AD, and evaluate novel computational brain simulation methods to further disentangle their potential roles. We first present an overview of existing computational models for AD that aim to provide a mechanistic understanding of the disease. Next, we outline the potential to link molecular aspects of neurodegeneration in AD with large-scale brain network modeling using The Virtual Brain (www.thevirtualbrain.org), an open-source, multiscale, whole-brain simulation neuroinformatics platform. Finally, we discuss how this methodological approach may contribute to the understanding, improved diagnostics, and treatment optimization of AD. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2021 Stefanovski, Meier, Pai, Triebkorn, Lett, Martin, Bülau, Hofmann-Apitius, Solodkin, McIntosh and Ritter.)
Databáze:	MEDLINE
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