A population model of deep brain stimulation in movement disorders from circuits to cells
- Submitting institution
-
University of Hertfordshire
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22766821
- Type
- D - Journal article
- DOI
-
10.3389/fnhum.2020.00055
- Title of journal
- Frontiers in Human Neuroscience
- Article number
- 55
- First page
- 55
- Volume
- 14
- Issue
- -
- ISSN
- 1662-5161
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the first network model representing more than one pathological and healthy state to examine the impact of deep brain stimulation and predict optimal parameters. Recent studies at the University of Oxford and University of Oslo [Bjørkeli, Master's thesis, 2020; Duchet, Doctoral dissertation, 2020] follow the same approach to modelling DBS. This study forms the basis of a new direction of research to utilise such models for clinical parameter prediction, and is key to a grant application to be submitted in 2021 about multiscale modelling of neurostimulation.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -