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Predicting the effects of deep brain stimulation using a reduced coupled oscillator model

Abstract:

Deep brain stimulation (DBS) is known to be an effective treatment for a variety of neurological disorders, including Parkinson's disease and essential tremor (ET). At present, it involves administering a train of pulses with constant frequency via electrodes implanted into the brain. New 'closed-loop' approaches involve delivering stimulation according to the ongoing symptoms or brain activity and have the potential to provide improvements in terms of efficiency, efficacy and reduction of si...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's Version

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Publisher copy:
10.1371/journal.pcbi.1006575

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Oxford college:
Brasenose College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Oxford college:
Somerville College
Role:
Author
ORCID:
0000-0002-5238-1146
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Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Computational Biology Journal website
Volume:
15
Issue:
8
Pages:
e1006575
Publication date:
2019-08-08
Acceptance date:
2019-06-07
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
Pubs id:
pubs:1040492
URN:
uri:b5d4fb30-85e6-4b19-aaba-68d05156caa8
UUID:
uuid:b5d4fb30-85e6-4b19-aaba-68d05156caa8
Local pid:
pubs:1040492
Language:
English

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