A computational outlook on neurostimulation
Abstract Efficient identification of effective neurostimulation strategies is critical due to the growing number of clinical applications and the increasing complexity of the corresponding technology. In consequence, investigators are encouraged to accelerate translational research of neurostimulati...
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doaj-a8aa9ff81f0f416887cef32ff79d0c662020-11-25T03:27:10ZengBMCBioelectronic Medicine2332-88862020-05-01611710.1186/s42234-020-00047-3A computational outlook on neurostimulationMarco Capogrosso0Scott F. Lempka1Department of Neurological Surgery, University of PittsburghDepartment of Biomedical Engineering, University of MichiganAbstract Efficient identification of effective neurostimulation strategies is critical due to the growing number of clinical applications and the increasing complexity of the corresponding technology. In consequence, investigators are encouraged to accelerate translational research of neurostimulation technologies and move quickly to clinical applications. However, this process is hampered by rigorous, but necessary, regulations and lack of a mechanistic understanding of the interactions between electric fields and neural circuits. Here we discuss how computational models have influenced the field of neurostimulation for pain and movement recovery, deep brain stimulation, and even device regulations. Finally, we propose our vision on how computational models will be key to accelerate clinical developments through mechanistic understanding.http://link.springer.com/article/10.1186/s42234-020-00047-3NeurostimulationNeuromodulationComputational modellingFinite element modellingSpinal cord stimulationChronic pain |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marco Capogrosso Scott F. Lempka |
spellingShingle |
Marco Capogrosso Scott F. Lempka A computational outlook on neurostimulation Bioelectronic Medicine Neurostimulation Neuromodulation Computational modelling Finite element modelling Spinal cord stimulation Chronic pain |
author_facet |
Marco Capogrosso Scott F. Lempka |
author_sort |
Marco Capogrosso |
title |
A computational outlook on neurostimulation |
title_short |
A computational outlook on neurostimulation |
title_full |
A computational outlook on neurostimulation |
title_fullStr |
A computational outlook on neurostimulation |
title_full_unstemmed |
A computational outlook on neurostimulation |
title_sort |
computational outlook on neurostimulation |
publisher |
BMC |
series |
Bioelectronic Medicine |
issn |
2332-8886 |
publishDate |
2020-05-01 |
description |
Abstract Efficient identification of effective neurostimulation strategies is critical due to the growing number of clinical applications and the increasing complexity of the corresponding technology. In consequence, investigators are encouraged to accelerate translational research of neurostimulation technologies and move quickly to clinical applications. However, this process is hampered by rigorous, but necessary, regulations and lack of a mechanistic understanding of the interactions between electric fields and neural circuits. Here we discuss how computational models have influenced the field of neurostimulation for pain and movement recovery, deep brain stimulation, and even device regulations. Finally, we propose our vision on how computational models will be key to accelerate clinical developments through mechanistic understanding. |
topic |
Neurostimulation Neuromodulation Computational modelling Finite element modelling Spinal cord stimulation Chronic pain |
url |
http://link.springer.com/article/10.1186/s42234-020-00047-3 |
work_keys_str_mv |
AT marcocapogrosso acomputationaloutlookonneurostimulation AT scottflempka acomputationaloutlookonneurostimulation AT marcocapogrosso computationaloutlookonneurostimulation AT scottflempka computationaloutlookonneurostimulation |
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1724589090701049856 |