This title appears in the Scientific Report :
2013
Please use the identifier:
http://dx.doi.org/10.3389/fnhum.2013.00056 in citations.
Please use the identifier: http://hdl.handle.net/2128/5041 in citations.
Relationships between electroencephalographic spectral peaks across frequency bands
Relationships between electroencephalographic spectral peaks across frequency bands
The degree to which electroencephalographic spectral peaks are independent, and the relationships between their frequencies have been debated. A novel fitting method was used to determine peak parameters in the range 2–35 Hz from a large sample of eyes-closed spectra, and their interrelationships we...
Saved in:
Personal Name(s): | van Albada, Sacha (Corresponding author) |
---|---|
Robinson, P.A. | |
Contributing Institute: |
Computational and Systems Neuroscience; IAS-6 Computational and Systems Neuroscience; INM-6 |
Published in: | Frontiers in human neuroscience, 7 56, S. 1-18 |
Imprint: |
Lausanne
Frontiers Research Foundation
2013
|
DOI: |
10.3389/fnhum.2013.00056 |
Document Type: |
Journal Article |
Research Program: |
Helmholtz Alliance on Systems Biology Signalling Pathways and Mechanisms in the Nervous System |
Link: |
Get full text OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/5041 in citations.
The degree to which electroencephalographic spectral peaks are independent, and the relationships between their frequencies have been debated. A novel fitting method was used to determine peak parameters in the range 2–35 Hz from a large sample of eyes-closed spectra, and their interrelationships were investigated. Findings were compared with a mean-field model of thalamocortical activity, which predicts near-harmonic relationships between peaks. The subject set consisted of 1424 healthy subjects from the Brain Resource International Database. Peaks in the theta range occurred on average near half the alpha peak frequency, while peaks in the beta range tended to occur near twice and three times the alpha peak frequency on an individual-subject basis. Moreover, for the majority of subjects, alpha peak frequencies were significantly positively correlated with frequencies of peaks in the theta and low and high beta ranges. Such a harmonic progression agrees semiquantitatively with theoretical predictions from the mean-field model. These findings indicate a common or analogous source for different rhythms, and help to define appropriate individual frequency bands for peak identification. |