Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Low frequency phase synchronisation analysis of MEG recordings from children with ADHD and controls using single channel ICA

Tools
- Tools
+ Tools

Demanuele, C., James, C. J., Sonuga-Barke, E. J. S. and Capilla, A. (2008) Low frequency phase synchronisation analysis of MEG recordings from children with ADHD and controls using single channel ICA. In: 4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP), Santa Margherita Ligure, Italy, Jul 14-16, 2008. Published in: Proceedings of the 4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP) pp. 1-4. ISSN 0537-9989, ISBN: 978-0-86341-934-8. doi:10.1049/cp:20080428

Research output not available from this repository, contact author.
Official URL: http://dx.doi.org/10.1049/cp:20080428

Request Changes to record.

Abstract

It has been suggested that the human brain is intrinsically organised into dynamic, anti-correlated functional networks. This paper presents a study on the so-called default mode network - which is active when the brain is apparently at rest - and on brain activity related to a given task. This work involves the analysis of low frequency magnetoencephalographic recordings of children with Attention Deficit Hyperactivity Disorder (ADHD) and controls performing both attentional as well as perceptual tasks. Single channel independent component analysis is used to isolate low frequency brain signals within the data in the presence of higher frequency brain activity and artifacts. Phase synchrony analysis is then carried out between the components of channels of interest to quantify any interaction between distant brain regions within the default-mode network. Preliminary results show variations in the phase locking between ADHD and controls, and indicate a corresponding change in phase synchrony between the corresponding brain regions at periods of rest and when tasks are being performed.

Item Type: Conference Item (Paper)
Subjects: R Medicine > R Medicine (General)
R Medicine > RJ Pediatrics
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: Proceedings of the 4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP)
Publisher: Institute of Engineering and Technology
ISSN: 0537-9989, ISBN: 978-0-86341-934-8
Official Date: 2008
Dates:
DateEvent
2008Published
Page Range: pp. 1-4
DOI: 10.1049/cp:20080428
Status: Not Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Comunidad de Madrid, Institute of Sound and Vibration Research, University of Southampton (ISVR), School of Psychology at the University of Southampton
Grant number: HSE/85-04 (Madrid)
Conference Paper Type: Paper
Title of Event: 4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP)
Type of Event: Conference
Location of Event: Santa Margherita Ligure, Italy
Date(s) of Event: Jul 14-16, 2008
Related URLs:
  • Other

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us