A new neuroinformatics approach to personalized medicine in neurology: The Virtual Brain
| Autor: | Ana Solodkin, Viktor K. Jirsa, Maria Inez Falcon |
|---|---|
| Přispěvatelé: | Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM) |
| Jazyk: | angličtina |
| Předmět: |
0301 basic medicine
Computer science Medical Informatics Computing Systems biology media_common.quotation_subject Big data Models Neurological Datasets as Topic Context (language use) Article 03 medical and health sciences 0302 clinical medicine Neuroimaging Humans Precision Medicine Function (engineering) media_common Epilepsy business.industry Systems Biology [SCCO.NEUR]Cognitive science/Neuroscience Brain Computational Biology Neuroinformatics Precision medicine Data science 3. Good health Stroke 030104 developmental biology Neurology Neurology (clinical) Personalized medicine Neural Networks Computer Nerve Net business 030217 neurology & neurosurgery |
| Zdroj: | Current Opinion in Neurology Current Opinion in Neurology, Lippincott, Williams & Wilkins, 2016, 29 (4), pp.429-436. ⟨10.1097/WCO.0000000000000344⟩ |
| ISSN: | 1473-6551 1350-7540 |
| DOI: | 10.1097/wco.0000000000000344 |
| Popis: | International audience; Purpose of review An exciting advance in the field of neuroimaging is the acquisition and processing of very large data sets (so called `big data'), permitting large-scale inferences that foster a greater understanding of brain function in health and disease. Yet what we are clearly lacking are quantitative integrative tools to translate this understanding to the individual level to lay the basis for personalized medicine. Recent findings Here we address this challenge through a review on how the relatively new field of neuroinformatics modeling has the capacity to track brain network function at different levels of inquiry, from microscopic to macroscopic and from the localized to the distributed. In this context, we introduce a new and unique multiscale approach, The Virtual Brain (TVB), that effectively models individualized brain activity, linking large-scale (macroscopic) brain dynamics with biophysical parameters at the microscopic level. We also show how TVB modeling provides unique biological interpretable data in epilepsy and stroke. Summary These results establish the basis for a deliberate integration of computational biology and neuroscience into clinical approaches for elucidating cellular mechanisms of disease. In the future, this can provide the means to create a collection of disease-specific models that can be applied on the individual level to personalize therapeutic interventions. |
| Databáze: | OpenAIRE |
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