Volume 5 Supplement 1

International Society on Brain and Behaviour: 2nd International Congress on Brain and Behaviour

Open Access

Relationships between learnability and individual indices of EEG alpha activity

  • Olga Bazanova1 and
  • Lubomir Aftanas2
Annals of General Psychiatry20065(Suppl 1):S182

DOI: 10.1186/1744-859X-5-S1-S182

Published: 28 February 2006

Background

Several studies indicate that EEG alpha activity is associated with cognitive performance and learnability (Anokhin and Vogel, 1996, Klimesch and Doppelmayr, 1998). It was demonstrated that resting alpha power is increased under conditions that are associated with enhanced cognitive processing capacity or situations where subjects try to increase their capacity. (Klimesch, 1999) Different parameters of alpha, however, are related to different aspects of cognitive performance and learnability in different ways

Materials and methods

The healthy male volunteers (n = 129) students and teachers of colleges and universities (age from 16 to 50 years old) participated in the study the main objective of which was to determine relationships between individual indices of EEG alpha activity (maximal spectral peak frequency – IFMA, alpha band width – IABW, stability – S, duration – T, and rise time of alpha spindle – CV) and psychometric parameters of learnability.

Results

people showing high IFMA (i.e., in the range of 10–14 Hz) along with high stability and duration of alpha spindle manifest behavioral traits of more effective performance in acquiring empiric knowledge. The best learnability is a distinctive feature of people with the highest IFMA and the widest IABW.

Discussion

Consequently a new and potentially useful protocol has been established to predict learnability, by EEG analysis, which may have applications in a wide variety of activities.

Authors’ Affiliations

(1)
Institute of Molecular Biology and Biophysics
(2)
Institute of Physiology

References

  1. Anokhin A, Vogel F: EEG alpha rhythm frequency and intelligence in normal adults. Intelligence. 1996, 23: 1-14. 10.1016/S0160-2896(96)80002-X.View ArticleGoogle Scholar
  2. Klimesch W: EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis. Brain Research Reviews. 1999, 29: 169-195. 10.1016/S0165-0173(98)00056-3.View ArticlePubMedGoogle Scholar
  3. Klimesch W, Doppelmayr M, Pachinger Th, Ripper B: Brain oscillations and human memory performance: EEG correlates in the upper alpha and theta bands. Neuroscience Letters. 1997, 238: 9-12. 10.1016/S0304-3940(97)00771-4.View ArticlePubMedGoogle Scholar

Copyright

© The Author(s) 2006

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