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Characteristics of Evoked Potential Multiple EEG Recordings in Patients with Chronic Pain by Means of Parallel Factor Analysis
Joint Authors
Sleigh, Jamie W.
Li, Xiao-Li
Voss, Logan J.
Lu, Chengbiao
Barnard, John P. M.
Wang, Juan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper presents an alternative method, called as parallel factor analysis (PARAFAC) with a continuous wavelet transform, to analyze of brain activity in patients with chronic pain in the time-frequency-channel domain and quantifies differences between chronic pain patients and controls in these domains.
The event related multiple EEG recordings of the chronic pain patients and non-pain controls with somatosensory stimuli (pain, random pain, touch, random touch) are analyzed.
Multiple linear regression (MLR) is applied to describe the effects of aging on the frequency response differences between patients and controls.
The results show that the somatosensory cortical responses occurred around 250 ms in both groups.
In the frequency domain, the neural response frequency in the pain group (around 4 Hz) was less than that in the control group (around 5.5 Hz) under the somatosensory stimuli.
In the channel domain, cortical activation was predominant in the frontal region for the chronic pain group and in the central region for controls.
The indices of active ratios were statistical significant between the two groups in the frontal and central regions.
These findings demonstrate that the PARAFAC is an interesting method to understanding the pathophysiological characteristics of chronic pain.
American Psychological Association (APA)
Wang, Juan& Li, Xiao-Li& Lu, Chengbiao& Voss, Logan J.& Barnard, John P. M.& Sleigh, Jamie W.. 2012. Characteristics of Evoked Potential Multiple EEG Recordings in Patients with Chronic Pain by Means of Parallel Factor Analysis. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-459845
Modern Language Association (MLA)
Wang, Juan…[et al.]. Characteristics of Evoked Potential Multiple EEG Recordings in Patients with Chronic Pain by Means of Parallel Factor Analysis. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-459845
American Medical Association (AMA)
Wang, Juan& Li, Xiao-Li& Lu, Chengbiao& Voss, Logan J.& Barnard, John P. M.& Sleigh, Jamie W.. Characteristics of Evoked Potential Multiple EEG Recordings in Patients with Chronic Pain by Means of Parallel Factor Analysis. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-459845
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459845