Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain
| Autor: | Stefanovski, Leon, Meier, Jil Mona, Pai, Roopa Kalsank, Triebkorn, Paul, Lett, Tristram, Martin, Leon, Bülau, Konstantin, Hofmann-Apitius, Martin, Solodkin, Ana, McIntosh, Anthony Randal, Ritter, Petra |
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| Přispěvatelé: | Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Fraunhofer Institute for Algorithms and Scientific Computing (Fraunhofer SCAI), Fraunhofer (Fraunhofer-Gesellschaft), University of Texas at Dallas [Richardson] (UT Dallas), Rotman Research Institute at the Baycrest Centre (RRI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU), Otten, Lisa |
| Rok vydání: | 2021 |
| Předmět: |
multi-scale brain modeling
[SCCO.NEUR]Cognitive science/Neuroscience [SCCO.NEUR] Cognitive science/Neuroscience Review Alzheimer's disease brain simulation connectomics The Virtual Brain 600 Technik Medizin angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit Neuroscience |
| Zdroj: | Frontiers in Neuroinformatics Frontiers in Neuroinformatics, Frontiers, 2021, 15, pp.630172. ⟨10.3389/fninf.2021.630172⟩ |
| ISSN: | 1662-5196 |
| DOI: | 10.17169/refubium-31791 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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