Extracting event-related field components through space-time ICA:A study of MEG recording from children with ADHD and controls
Extracting event-related field components through space-time ICA:A study of MEG recording from children with ADHD and controls
Event-related studies have provided indirect evidence that Attention Deficit Hyperactivity Disorder (ADHD) children have abnormalities in signal detection and discrimination, and in information processing. Moreover, studies suggest that there exist very low frequency fluctuations modulating underlying neuronal events. This paper presents an event-related fields (ERF) study involving the analysis of magnetoencephalographic (MEG) recordings of children with ADHD and controls during selective attention and perceptual, stimuli-based tasks. A specific form of blind-source separation — space-time independent component analysis (ST-ICA) — is used to isolate the early M100 responses within the data, which are indicative of selective attention deficits. The properties of the extracted responses, namely the amplitude and latency, as well as the power spectral densities of their inter-trial variations are then analyzed. Preliminary results demonstrate the ability of ST-ICA to extract relevant components from multi-dimensional, noisy, ERF data, and reveal differences in the amplitude and latency variations of the M100 responses of the two groups.
9783540892076
38-42
Springer Berlin, Heidelberg
Demanuele, C.
fc261cc6-c58f-4ff0-a214-7a1b55d05996
James, C.J.
b3733b1f-a6a1-4c9b-b75c-6191d4142e52
Sonuga-Barke, E.J.S.
bc80bf95-6cf9-4c76-a09d-eaaf0b717635
Capilla, A.
34c59e6c-8ae3-4d7d-9e65-9dda52efc25a
November 2008
Demanuele, C.
fc261cc6-c58f-4ff0-a214-7a1b55d05996
James, C.J.
b3733b1f-a6a1-4c9b-b75c-6191d4142e52
Sonuga-Barke, E.J.S.
bc80bf95-6cf9-4c76-a09d-eaaf0b717635
Capilla, A.
34c59e6c-8ae3-4d7d-9e65-9dda52efc25a
Demanuele, C., James, C.J., Sonuga-Barke, E.J.S. and Capilla, A.
(2008)
Extracting event-related field components through space-time ICA:A study of MEG recording from children with ADHD and controls.
Vander Sloten, Jos, Verdonck, Pascal, Nyssen, Marc and Haueisen, Jens
(eds.)
In 4th European Conference of the International Federation for Medical and Biological Engineering.
vol. 22,
Springer Berlin, Heidelberg.
.
(doi:10.1007/978-3-540-89208-3_11).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Event-related studies have provided indirect evidence that Attention Deficit Hyperactivity Disorder (ADHD) children have abnormalities in signal detection and discrimination, and in information processing. Moreover, studies suggest that there exist very low frequency fluctuations modulating underlying neuronal events. This paper presents an event-related fields (ERF) study involving the analysis of magnetoencephalographic (MEG) recordings of children with ADHD and controls during selective attention and perceptual, stimuli-based tasks. A specific form of blind-source separation — space-time independent component analysis (ST-ICA) — is used to isolate the early M100 responses within the data, which are indicative of selective attention deficits. The properties of the extracted responses, namely the amplitude and latency, as well as the power spectral densities of their inter-trial variations are then analyzed. Preliminary results demonstrate the ability of ST-ICA to extract relevant components from multi-dimensional, noisy, ERF data, and reveal differences in the amplitude and latency variations of the M100 responses of the two groups.
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Published date: November 2008
Venue - Dates:
Proceedings of the 4th European Congress for Medical and Biomedical Engineering, EMBEC, Antwerp, Belgium, 2008-11-23 - 2008-11-27
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Local EPrints ID: 65195
URI: http://eprints.soton.ac.uk/id/eprint/65195
ISBN: 9783540892076
PURE UUID: f5cf622c-59bf-473d-869c-ebabf57176f7
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Date deposited: 04 Mar 2009
Last modified: 15 Mar 2024 12:06
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Contributors
Author:
C. Demanuele
Author:
C.J. James
Author:
E.J.S. Sonuga-Barke
Author:
A. Capilla
Editor:
Jos Vander Sloten
Editor:
Pascal Verdonck
Editor:
Marc Nyssen
Editor:
Jens Haueisen
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