Electroencephalographic Neurofeedback to up-regulate frontal Theta rhythms: Preliminary results.

Shoji, Y, Patti, C and Cvetkovic, D 2017, 'Electroencephalographic Neurofeedback to up-regulate frontal Theta rhythms: Preliminary results.', in 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2016, Seogwipo, South Korea, 11-15 July 2017, pp. 1425-1428.


Document type: Conference Paper
Collection: Conference Papers

Title Electroencephalographic Neurofeedback to up-regulate frontal Theta rhythms: Preliminary results.
Author(s) Shoji, Y
Patti, C
Cvetkovic, D
Year 2017
Conference name 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2017
Conference location Seogwipo, South Korea
Conference dates 11-15 July 2017
Proceedings title 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2016
Publisher IEEE
Place of publication United States
Start page 1425
End page 1428
Total pages 4
Abstract Retrieval of positive Autobiographical Memory (AM) has been reported to increase positive emotions in healthy population. Evidence suggests that positive AM retrieval tasks are correlated with synchronisation of frontal Theta rhythms (4-8Hz). The present study has developed the Electroencephalography (EEG) based Neurofeedback (NF) protocols to promote voluntary elevation or up-regulation of positive AM retrieval related Theta rhythms over F3, Fz, F4 electrode sites (10-20 System). The protocols were evaluated with a human participant in 10-day NF training. It observed that the average amplitude of observed Theta rhythms in each NF regulation block gradually increased over days of training and most was prominent at Fz electrode site. Furthermore, a larger peak at 6Hz was present in the spectrum of the observed Theta with later trial day suggesting up-regulation of Frontal Midline Theta (FmT) rhythms.
Subjects Biomedical Instrumentation
Keyword(s) Neurofeedback
Electroencephalography
EEG
Frontal Midline Theta
Copyright notice © 2017 IEEE
ISBN 9781509028092
Versions
Version Filter Type
Access Statistics: 12 Abstract Views  -  Detailed Statistics
Created: Tue, 23 Oct 2018, 16:00:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us