A Network Model of Local Field Potential Activity in Essential Tremor and the Impact of Deep Brain Stimulation
- Submitting institution
-
University of Plymouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 917
- Type
- D - Journal article
- DOI
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10.1371/journal.pcbi.1005326
- Title of journal
- PLoS Computational Biology
- Article number
- e1005326
- First page
- -
- Volume
- 13
- Issue
- 1
- ISSN
- 1553-7358
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- 4 - Psychology, Psychiatry and Neuroscience
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Essential tremor (ET) is a movement disorder which can be successfully treated by deep brain stimulation (DBS). To analyse the theoretical basis of this treatment this study combines (i) recordings from the brain and muscle, (ii) computational modelling and (iii) mathematical analysis to develop the first population level model of ET. We found that the model supports oscillations in the tremor range associated with ET, and that application of high frequency DBS can suppress these tremors. The model explains the effect of DBS and can be used for the first time to predict DBS parameter settings for clinical use.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -