Spontaneous alpha peak frequency predicts working memory performance across the age span

Clark, C. Richard; Veltmeyer, Melinda D.; Hamilton, Rebecca; Simms, Elena; Paul, Robert; Hermens, Daniel F.; Gordon, Evian

doi:10.1016/j.ijpsycho.2003.12.011

Cited by 214 publications

(106 citation statements)

References 38 publications

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“…Robust individual differences are observed for the dominant (or peak) frequency of the alpha rhythm, which declines with aging (Obrist, 1979) and neurodegenerative diseases such as Alzheimer’s (Stam, 2005). Individual differences in alpha peak frequency have been reported to be associated with working memory (Clark et al, 2004) and intelligence (Grandy et al, 2013), although not in all studies (Posthuma, Neale, Boomsma, & de Geus, 2001). Like alpha power, alpha peak frequency is highly heritable, with estimates of approximately .80 (Posthuma et al, 2001; C.…”

Section: Neurochemical and Psychological Correlates Of Eeg Parametersmentioning

confidence: 97%

Heritability and molecular‐genetic basis of resting EEG activity: A genome‐wide association study

et al. 2014

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Several EEG parameters are potential endophenotypes for different psychiatric disorders. The present study consists of a comprehensive behavioral- and molecular-genetic analysis of such parameters in a large community sample (N = 4,026) of adolescent twins and their parents, genotyped for 527,829 single nucleotide polymorphisms (SNPs). Biometric heritability estimates ranged from .49 to .85, with a median of .78. The additive effect of all SNPs (SNP heritability) varied across electrodes. Although individual SNPs were not significantly associated with EEG parameters, several genes were associated with delta power. We also obtained an association between the GABRA2 gene and beta power (p < .014), consistent with findings reported by others, although this did not survive Bonferroni correction. If EEG parameters conform to a largely polygenic model of inheritance, larger sample sizes will be required to detect individual variants reliably.

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Section: Neurochemical and Psychological Correlates Of Eeg Parametersmentioning

confidence: 97%

Heritability and molecular‐genetic basis of resting EEG activity: A genome‐wide association study

et al. 2014

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“…There is a positive relationship between frontal alpha peak frequency and working memory performance (Richard et al, 2004). Alpha synchrony increases at many cortical sites with the amount of internally and externally directed attentional demand (Cooper et al, 2003).…”

Section: Behavior and Cognitionmentioning

confidence: 99%

Simultaneous EEG–fMRI

Ritter

Villringer

2006

Neuroscience & Biobehavioral Reviews

250

169

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“…So it's possible to define 3 main groups of the alpha activity indices: 1) the frequency of the dominant posterior EEG rhythm [11,12], which is assessed as individual alpha peak frequency in an eyes-closed condition (IAPF) [13][14][15]; 2) the amount of alpha amplitude suppression in response to eyes-open [12,16,17] which defines the activation magnitude, and the width of the frequency range in which amplitude suppression occurs, or alpha band width [7,18]; 3) the "autorhythmicity" (or bursting/spindle forming process), which is result of phase resetting process [19][20][21] (Figure 1). through childhood till pubertal age [22,23] and decreases after 40 years of age [24]. Few investigations showed the hormonal influence on IAPF-it increases with progesterone activity enhancement during women menstrual cycle [25][26][27][28] and in conditions when cortisol blood level increases [29].…”

Section: Introductionmentioning

confidence: 99%

Comments for Current Interpretation EEG Alpha Activity: A Review and Analysis

Bazanova¹

2012

JBBS

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Introduction: Exploring the EEG alpha oscillations generates considerable interest because there is well known its role in cognitive and psycho emotional aspects of human life. However, till now there isn't well determined definition what is alpha activity phenomena and which indices are characterize it. Method: This article focuses on the attempt to determine EEG alpha-activity phenomena, its physical, molecular and morphological nature, to highlight its indices and their role in optimal functioning. Results: Specifically, this article examines individual alpha activity indices: 1) the individual alpha peak frequency; 2) activation magnitude measured by estimation the amount of alpha amplitude suppression in response to eyes open and individual alpha band width; 3) three alpha "autorhythmicity" indices: intra-spindle amplitude variability, spindle length and steepness. Conclusions: Throughout, the article provides a number of suggestions which alpha activity indices and in which conditions could be applied in psycho physiological investigations, what is their role in optimal functioning and what are possible directions for future research.

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Spontaneous alpha peak frequency predicts working memory performance across the age span

Cited by 214 publications

References 38 publications

Heritability and molecular‐genetic basis of resting EEG activity: A genome‐wide association study

Heritability and molecular‐genetic basis of resting EEG activity: A genome‐wide association study

Simultaneous EEG–fMRI

Comments for Current Interpretation EEG Alpha Activity: A Review and Analysis

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