Multiscale modeling in the clinic: diseases of the brain and nervous system
Abstract Computational neuroscience is a field that traces its origins to the efforts of Hodgkin and Huxley, who pioneered quantitative analysis of electrical activity in the nervous system. While also continuing as an independent field, computational neuroscience has combined with computational sys...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2017-05-01
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| Series: | Brain Informatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s40708-017-0067-5 |
| _version_ | 1818178582492479488 |
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| author | William W. Lytton Jeff Arle Georgiy Bobashev Songbai Ji Tara L. Klassen Vasilis Z. Marmarelis James Schwaber Mohamed A. Sherif Terence D. Sanger |
| author_facet | William W. Lytton Jeff Arle Georgiy Bobashev Songbai Ji Tara L. Klassen Vasilis Z. Marmarelis James Schwaber Mohamed A. Sherif Terence D. Sanger |
| author_sort | William W. Lytton |
| collection | DOAJ |
| description | Abstract Computational neuroscience is a field that traces its origins to the efforts of Hodgkin and Huxley, who pioneered quantitative analysis of electrical activity in the nervous system. While also continuing as an independent field, computational neuroscience has combined with computational systems biology, and neural multiscale modeling arose as one offshoot. This consolidation has added electrical, graphical, dynamical system, learning theory, artificial intelligence and neural network viewpoints with the microscale of cellular biology (neuronal and glial), mesoscales of vascular, immunological and neuronal networks, on up to macroscales of cognition and behavior. The complexity of linkages that produces pathophysiology in neurological, neurosurgical and psychiatric disease will require multiscale modeling to provide understanding that exceeds what is possible with statistical analysis or highly simplified models: how to bring together pharmacotherapeutics with neurostimulation, how to personalize therapies, how to combine novel therapies with neurorehabilitation, how to interlace periodic diagnostic updates with frequent reevaluation of therapy, how to understand a physical disease that manifests as a disease of the mind. Multiscale modeling will also help to extend the usefulness of animal models of human diseases in neuroscience, where the disconnects between clinical and animal phenomenology are particularly pronounced. Here we cover areas of particular interest for clinical application of these new modeling neurotechnologies, including epilepsy, traumatic brain injury, ischemic disease, neurorehabilitation, drug addiction, schizophrenia and neurostimulation. |
| first_indexed | 2024-12-11T20:50:16Z |
| format | Article |
| id | doaj.art-7eb36534e1674f13a3d8a8adbf73be5d |
| institution | Directory Open Access Journal |
| issn | 2198-4018 2198-4026 |
| language | English |
| last_indexed | 2024-12-11T20:50:16Z |
| publishDate | 2017-05-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Brain Informatics |
| spelling | doaj.art-7eb36534e1674f13a3d8a8adbf73be5d2022-12-22T00:51:15ZengSpringerOpenBrain Informatics2198-40182198-40262017-05-014421923010.1007/s40708-017-0067-5Multiscale modeling in the clinic: diseases of the brain and nervous systemWilliam W. Lytton0Jeff Arle1Georgiy Bobashev2Songbai Ji3Tara L. Klassen4Vasilis Z. Marmarelis5James Schwaber6Mohamed A. Sherif7Terence D. Sanger8Department of Physiology and Pharmacology and Neurology, SUNY Downstate, Kings County HospitalHarvard URTI InternationalThayer School of Engineering, Department of Surgery and of Orthopaedic Surgery, Geisel School of Medicine, Dartmouth CollegeU British ColumbiaUSCJefferson UYale UUSCAbstract Computational neuroscience is a field that traces its origins to the efforts of Hodgkin and Huxley, who pioneered quantitative analysis of electrical activity in the nervous system. While also continuing as an independent field, computational neuroscience has combined with computational systems biology, and neural multiscale modeling arose as one offshoot. This consolidation has added electrical, graphical, dynamical system, learning theory, artificial intelligence and neural network viewpoints with the microscale of cellular biology (neuronal and glial), mesoscales of vascular, immunological and neuronal networks, on up to macroscales of cognition and behavior. The complexity of linkages that produces pathophysiology in neurological, neurosurgical and psychiatric disease will require multiscale modeling to provide understanding that exceeds what is possible with statistical analysis or highly simplified models: how to bring together pharmacotherapeutics with neurostimulation, how to personalize therapies, how to combine novel therapies with neurorehabilitation, how to interlace periodic diagnostic updates with frequent reevaluation of therapy, how to understand a physical disease that manifests as a disease of the mind. Multiscale modeling will also help to extend the usefulness of animal models of human diseases in neuroscience, where the disconnects between clinical and animal phenomenology are particularly pronounced. Here we cover areas of particular interest for clinical application of these new modeling neurotechnologies, including epilepsy, traumatic brain injury, ischemic disease, neurorehabilitation, drug addiction, schizophrenia and neurostimulation.http://link.springer.com/article/10.1007/s40708-017-0067-5Multiscale computer modelingSimulationSchizophreniaDrug addictionNeurorehabilitationNeurostimulation |
| spellingShingle | William W. Lytton Jeff Arle Georgiy Bobashev Songbai Ji Tara L. Klassen Vasilis Z. Marmarelis James Schwaber Mohamed A. Sherif Terence D. Sanger Multiscale modeling in the clinic: diseases of the brain and nervous system Brain Informatics Multiscale computer modeling Simulation Schizophrenia Drug addiction Neurorehabilitation Neurostimulation |
| title | Multiscale modeling in the clinic: diseases of the brain and nervous system |
| title_full | Multiscale modeling in the clinic: diseases of the brain and nervous system |
| title_fullStr | Multiscale modeling in the clinic: diseases of the brain and nervous system |
| title_full_unstemmed | Multiscale modeling in the clinic: diseases of the brain and nervous system |
| title_short | Multiscale modeling in the clinic: diseases of the brain and nervous system |
| title_sort | multiscale modeling in the clinic diseases of the brain and nervous system |
| topic | Multiscale computer modeling Simulation Schizophrenia Drug addiction Neurorehabilitation Neurostimulation |
| url | http://link.springer.com/article/10.1007/s40708-017-0067-5 |
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