2019
DOI: 10.1111/psyp.13515
|View full text |Cite
|
Sign up to set email alerts
|

Global EEG coherence as a marker for cognition in older adults at risk for dementia

Abstract: Quantitative electroencephalography (EEG) provides useful information about neurophysiological health of the aging brain. Current studies investigating EEG coherence and power for specific brain areas and frequency bands have yielded inconsistent results. This study assessed EEG coherence and power indices at rest measured over the whole skull and for a wide frequency range as global EEG markers for cognition in a sample at risk for dementia. Since global markers are more reliable and less error‐prone than reg… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
19
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 25 publications
(21 citation statements)
references
References 73 publications
1
19
1
Order By: Relevance
“…This disparity in ages is a factor that could have affected some of the differences seen between these two groups. Notably, global coherence (1-30 Hz) is reported to decrease with age, along with a slowing of peak frequency (ratio of 1-8 Hz power/9-30 Hz power (Laptinskaya et al, 2019). However, this general age effect cannot easily explain the results we reported in this study.…”
Section: Effects On Short-term and Long-term Meditatorscontrasting
confidence: 63%
“…This disparity in ages is a factor that could have affected some of the differences seen between these two groups. Notably, global coherence (1-30 Hz) is reported to decrease with age, along with a slowing of peak frequency (ratio of 1-8 Hz power/9-30 Hz power (Laptinskaya et al, 2019). However, this general age effect cannot easily explain the results we reported in this study.…”
Section: Effects On Short-term and Long-term Meditatorscontrasting
confidence: 63%
“…The cortical network across the sources, i.e., global EEG coherence across all frequency bands (1–45 Hz), a functional connectivity analysis was performed by applying the coherence method (Rosenberg et al, 1989 ; Laptinskaya et al, 2020 ) followed by complex demodulation with time and frequency sampling 0.5 Hz, 100 ms in BESA Connectivity 1.0 software (BESA ® ). The number of signal sources for the connectivity analysis was selected as 10, and the locations of dipole orientations in the brain were calculated using the genetic algorithm.…”
Section: Methodsmentioning
confidence: 99%
“…The analysis of EEG spectral power in patients with ARHL may be a potential strategy to reveal meaningful cognition-related results. Furthermore, in addition to the EEG power of each frequency band, other characteristics of the frequency bands can also be used as the basis for cognitive evaluation, such as total power, the linear combination of power values in a specific frequency band, average power, and root mean square power (Moretti et al, 2007 ; Price et al, 2019 ; Seleznov et al, 2019 ; Laptinskaya et al, 2020 ).…”
Section: Cognitive Screening Tools Overviewmentioning
confidence: 99%