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...

Full description

Bibliographic Details
Main Authors: Marco Capogrosso, Scott F. Lempka
Format: Article
Language:English
Published: BMC 2020-05-01
Series:Bioelectronic Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s42234-020-00047-3
id doaj-a8aa9ff81f0f416887cef32ff79d0c66
record_format Article
spelling 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
_version_ 1724589090701049856