Is short-term memory capacity (7±2) really predicted by theta to gamma cycle length ratio?
Language English Country Netherlands Media print-electronic
Document type Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't
PubMed
34265319
DOI
10.1016/j.bbr.2021.113465
PII: S0166-4328(21)00353-3
Knihovny.cz E-resources
- Keywords
- EEG, cross-frequency coupling, gamma, phase-amplitude coupling, short-term memory capacity, theta,
- MeSH
- Models, Biological MeSH
- Adult MeSH
- Gamma Rhythm physiology MeSH
- Memory, Short-Term physiology MeSH
- Humans MeSH
- Young Adult MeSH
- Psychomotor Performance physiology MeSH
- Theta Rhythm physiology MeSH
- Wechsler Scales MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Young Adult MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural MeSH
Several studies suggest that EEG parameters, reflecting top-down processes in the brain, may predict cognitive performance, e.g. short-term memory (STM) capacity. According to Lisman and Idiart's model, STM capacity is predicted by theta and gamma EEG waves and their ratio. This model suggests that the more periods of gamma band waves fit into one period of theta band waves, the more information can be stored. We replicated the study by Kaminski et al. (2011), which recorded spontaneous EEG activity and measured verbal STM capacity with a modified digit span task from the Wechsler battery. Our study included more subjects and two EEG recording sessions. We discuss the possible limits of EEG correlates of STM capacity as EEG parameters were not stable across the two measurements and no correlation was found between the theta/gamma ratio and performance in the digit span task.
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