Resting State EEG as an Indicator of Cognitive Training Effect in Older Adults

Volf, N. V.; Privodnova, E. Yu.

doi:10.1109/csgb.2018.8544796

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…The reliability in both age groups was equivalent, within the a priori determined boundaries of (+ − 0.2 ICC, Figure 4). This is important because it documents the excellent test-retest reliability of EEG-derived dependent metrics as a requirement for example in cognitive remediation therapies in aging research (e.g., Spironelli & Borella, 2021;Volf et al, 2018). However, despite good reliability, the utility of other frequency bands during awake rest, such as delta, theta, and gamma, in not only revealing consistent group differences but also with respect to their interpretation in terms of brain function, should be taken with care.…”

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confidence: 99%

Test–retest reliability of resting‐state EEG in young and older adults

et al. 2023

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The quantification of resting‐state electroencephalography (EEG) is associated with a variety of measures. These include power estimates at different frequencies, microstate analysis, and frequency‐resolved source power and connectivity analyses. Resting‐state EEG metrics have been widely used to delineate the manifestation of cognition and to identify psychophysiological indicators of age‐related cognitive decline. The reliability of the utilized metrics is a prerequisite for establishing robust brain–behavior relationships and clinically relevant indicators of cognitive decline. To date, however, test–retest reliability examination of measures derived from resting human EEG, comparing different resting‐state measures between young and older participants, within the same adequately powered dataset, is lacking. The present registered report examined test–retest reliability in a sample of 95 young (age range: 20–35 years) and 93 older (age range: 60–80 years) participants. A good‐to‐excellent test–retest reliability was confirmed in both age groups for power estimates on both scalp and source levels as well as for the individual alpha peak power and frequency. Partial confirmation was observed for hypotheses stating good‐to‐excellent reliability of microstates measures and connectivity. Equal levels of reliability between the age groups were confirmed for scalp‐level power estimates and partially so for source‐level power and connectivity. In total, five out of the nine postulated hypotheses were empirically supported and confirmed good‐to‐excellent reliability of the most commonly reported resting‐state EEG metrics.

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Section: Yes Nomentioning

confidence: 99%

Test–retest reliability of resting‐state EEG in young and older adults

et al. 2023

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“…In electrophysiology, the brain spontaneously generates rhythmic oscillation in the resting state, which could be quantified by means of spectral analysis and has been thought to be an indicator of cognitive training effect (Volf & Privodnova, 2018). For example, we have found that the anterior resting state alpha (8-14 Hz) power was increased after the executive attention intervention (Lin et al, 2022).…”

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confidence: 85%

The causal mechanisms underlying analogical reasoning performance improvement by executive attention intervention

Lin

Chen

2023

Human Brain Mapping

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Analogical reasoning is important for human. We have found that a short executive attention intervention improved analogical reasoning performance in healthy young adults. Nevertheless, previous electrophysiological evidence was limited for comprehensively characterizing the neural mechanisms underlying the improvement. And although we hypothesized that the intervention improved active inhibitory control and attention shift first and then relation integration, it is still unclear whether there are two sequential cognitive neural activities were indeed changed during analogical reasoning. In the present study, we combined hypothesis with multivariate pattern analysis (MVPA) to explore the effects of the intervention on electrophysiology. Results showed that in the resting state after the intervention, alpha and high gamma power and the functional connectivity between the anterior and middle in the alpha band could discriminate the experimental group from the active control group, respectively. These indicated that the intervention influenced the activity of multiple bands and the interaction of frontal and parietal regions. In the analogical reasoning, alpha, theta, and gamma activities could also fulfill such discrimination, and furthermore, they were sequential (alpha first, theta, and gamma later). These results directly supported our previous hypothesis. The present study deepens our understanding about how executive attention contributes to higher‐order cognition.

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