Name
Abstract | ||
|---|---|---|
The individual alpha frequency (IAF) is one of the most common tools used to study the variability of EEG rhythms among subjects. Several approaches have been proposed in the literature for IAF determination, including the popular peak frequency (PF) method, the extended band (EB) method, and the transition frequency (TF) method. However, literature techniques for IAF determination are over-reliant on the presence of peaks in the EEG spectrum and are based on qualitative criteria that require visual inspection of every individual EEG spectrum, a task that can be time consuming and difficult to reproduce. In this paper a novel channel reactivity based (CRB) method is proposed for IAF computation. The CRB method is based on quantitative indexes and criteria and relies on task-specific alpha reactivity patterns rather than on the presence of peaks in the EEG spectrum. Application of the technique to EEG signals recorded from 19 subjects during a cognitive task demonstrates the effectiveness of the CRB method and its capability to overcome the limits of PF, EB, and TF approaches. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.neuroimage.2011.12.001 | NeuroImage |
Keywords | Field | DocType |
Alpha reactivity,Inter-individual variability,Leads selection,Peak frequency,Transition frequency,Spectrum | Alpha (ethology),Pattern recognition,Cognitive psychology,Psychology,Communication channel,Artificial intelligence,Statistics,Cognition,Electroencephalography,Computation | Journal |
Volume | Issue | ISSN |
60 | 1 | 1053-8119 |
Citations | PageRank | References |
4 | 0.46 | 3 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A Goljahani | 1 | 22 | 2.54 |
| C D'Avanzo | 2 | 8 | 1.36 |
| S Schiff | 3 | 6 | 1.16 |
| P Amodio | 4 | 4 | 0.46 |
| P Bisiacchi | 5 | 6 | 1.40 |
| Giovanni Sparacino | 6 | 276 | 52.52 |