Dynamic oscillatory signatures of central neuropathic pain in spinal cord injury
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12-00541
- Type
- D - Journal article
- DOI
-
10.1016/j.jpain.2014.02.005
- Title of journal
- Journal of Pain
- Article number
- -
- First page
- 645
- Volume
- 15
- Issue
- 6
- ISSN
- 1526-5900
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2014
- URL
-
http://eprints.gla.ac.uk/92635/
- 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
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- By using EEG to identify markers of neuropathic pain, the work demonstrates neurofeedback for patient self-managed therapy. The methods were validated on 18 patients at Queen Elizabeth Spinal Injury Unit, Glasgow and Stoke Mandeville National Spinal Injuries Centre. The output led to funding (RAE/Leverhulme Fellowship LSRF1415\11\95) and a further clinical trial on 15 patients (reported in doi: 10.1186/s12984-019-0588-7). The technology was used as evidence to underpin the KTN Strategy on Neurotechnology (https://ktn-uk.org/wp-content/uploads/2020/08/Towards-a-UK-Neurotechnology-Strategy.pdf). The algorithms were licensed to Capsant Neurotechnologies
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
