Journal article
Predicting the effects of deep brain stimulation using a reduced coupled oscillator model
- Abstract:
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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
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(Version of record, pdf, 4.6MB)
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- Publisher copy:
- 10.1371/journal.pcbi.1006575
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Authors
Funding
Bibliographic Details
- 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:
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1553-734X
- Pmid:
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31393880
- Source identifiers:
-
1040492
Item Description
- Language:
- English
- Pubs id:
-
pubs:1040492
- UUID:
-
uuid:b5d4fb30-85e6-4b19-aaba-68d05156caa8
- Local pid:
- pubs:1040492
- Deposit date:
- 2019-08-13
Terms of use
- Copyright holder:
- Weerasinghe et al
- Copyright date:
- 2019
- Notes:
- © 2019 Weerasinghe et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
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