An Effective Neurofeedback Intervention to Improve Social Interactions in Children with Autism Spectrum Disorder
- Submitting institution
-
Heriot-Watt University
(joint submission with University of Edinburgh)
- Unit of assessment
- 12 - Engineering
- Output identifier
- 10712597
- Type
- D - Journal article
- DOI
-
10.1007/s10803-015-2523-5
- Title of journal
- Journal of Autism and Developmental Disorders
- Article number
- -
- First page
- 4084
- Volume
- 45
- Issue
- 12
- ISSN
- 0162-3257
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2015
- 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
- Yes
- Number of additional authors
-
6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This study presented a millisecond precision data synchronisation algorithm which was applied to Neurofeedback training (NFT). Its implementation in a serious game enabled UCSD to conduct improved behaviour, cognition and emotion regulation in children with autism spectrum disorder. [Contact: UCSD] The new NFT paradigm, data architecture and the innovative serious game mechanics herein were key to a €7M EU H2020 project (BEACONING, #687676 £240k to Heriot-Watt) where a focus group in assistive technology led to developments contributing to Hands Free Computing’s ACE product. [Contact: Hands Free Computing]
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
