EEG beta suppression and low gamma modulation are different elements of human upright walking
- Submitting institution
-
The University of Essex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1334
- Type
- D - Journal article
- DOI
-
10.3389/fnhum.2014.00485
- Title of journal
- Frontiers in Human Neuroscience
- Article number
- ARTN 485
- First page
- 485
- Volume
- 8
- Issue
- JULY
- ISSN
- 1662-5161
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2014
- 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
-
4
- Research group(s)
-
B - Brain Computer Interfaces and Neural Engineering (BCI-NE)
- Citation count
- 105
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This was the first paper to propose the model that sustained and dynamic components of electroencephalogram(EEG) activity recorded over sensorimotor areas during movement are generated by different neuronal rhythms, i.e. distinct brain networks. Significantly this changes interpretation of EEG activity in the context of motor behaviour. With many (>10500) views this highly-cited paper laid foundations for a series of papers leading to development of novel methods for mobile brain imaging (NeuroImage, 112:318-326, MoBi 2018 conference). This model is a major contribution to the field, is included in several review articles and inspired work by others in the topic.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
