Analysis of Regularity in the EEG Before/After Working Memory Task

Behzadfar, Neda; Firoozabadi, Seyed Mohammad; Badie, Kambiz

doi:10.1109/icbme.2017.8430260

Cited by 2 publications

(1 citation statement)

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“…7). Although several studies on human WM have analyzed regularity of neural activity using correlation dimension (Grassberger and Procaccia, 1983), approximate entropy (Pincus, 1991) and Hurst exponent (Hurst, 1951), no consistent result has been obtained (Zarjam et al, 2012;Behzadfar et al, 2017). We presently approached this issue using the IPI analysis and found the memory-related increase in regularity.…”

Section: Reduced Variance Of Ipis In a Retention Periodmentioning

confidence: 86%

Temporal codes of visual working memory in the human cerebral cortex

Noguchi

Kakigi

2020

Preprint

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Visual working memory (vWM) is an important ability required for various cognitive tasks although its neural underpinnings remain controversial. While many studies have focused on theta (4-7 Hz) and gamma (> 30 Hz) rhythms as a substrate of vWM, here we show that temporal signals embedded in alpha (8-12 Hz) and beta (13-30 Hz) bands can be a good predictor of vWM capacity. Neural activity of healthy human participants was recorded with magnetoencephalography when they performed a classical vWM task (change detection). We analyzed changes in inter-peak intervals (IPIs) of oscillatory signals along with an increase in WM load (a number of to-be-memorized items, 1-6). Results showed a load-dependent reduction of IPIs in the parietal and frontal regions, indicating that alpha/beta rhythms became faster when multiple items were stored in vWM. Furthermore, this reduction in IPIs was positively correlated with individual vWM capacity, especially in the frontal cortex. Those results indicate that vWM is represented as a change in oscillation frequency in the human cerebral cortex.

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