Literature DB >> 15172130

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

C Richard Clark1, Melinda D Veltmeyer, Rebecca J Hamilton, Elena Simms, Robert Paul, Daniel Hermens, Evian Gordon.   

Abstract

Working memory capacity has been consistently shown to decline with increasing age. Mechanisms underlying this decline are poorly understood. One index that has been found to predict performance on memory tests is alpha peak frequency, the peak of spectral alpha power of the EEG. Activity in the alpha band has been also associated with higher cognitive functions including attention and anticipation and has been shown to slow with age. Few studies, however, have examined whether there might be a relationship between WM decline and alpha peak frequency. The present study specifically investigated this relationship. Digit span was used as the index of WM function. The study made use of 550 normal subjects aged between 11 and 70 years in the Brain Resource International Database. The data were acquired from six laboratories located in the USA (2), Europe (2) and Australia (2). Forward and reverse digit span were found to be lower in older relative to younger age groups. Spontaneous alpha peak frequency slowed with age and more so at anterior than posterior sites. Frontal alpha peak frequency was found to be a significant predictor of reverse digit span, with each 1 Hz increase in frequency associated with a 0.21 increase in reverse digit span score and this was independent of age, indicating a positive relationship between alpha peak frequency and working memory performance. Copyright 2003 Elsevier B.V.

Entities:  

Mesh:

Year:  2004        PMID: 15172130     DOI: 10.1016/j.ijpsycho.2003.12.011

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  49 in total

1.  Therapeutic effects of individualized alpha frequency transcranial magnetic stimulation (alphaTMS) on the negative symptoms of schizophrenia.

Authors:  Yi Jin; Steven G Potkin; Aaron S Kemp; Steven T Huerta; Gustavo Alva; Trung Minh Thai; Danilo Carreon; William E Bunney
Journal:  Schizophr Bull       Date:  2005-10-27       Impact factor: 9.306

2.  Category and letter verbal fluency across the adult lifespan: relationship to EEG theta power.

Authors:  Adam M Brickman; Robert H Paul; Ronald A Cohen; Leanne M Williams; Kristin L MacGregor; Angela L Jefferson; David F Tate; John Gunstad; Evian Gordon
Journal:  Arch Clin Neuropsychol       Date:  2005-07       Impact factor: 2.813

3.  Individual measures of electroencephalogram alpha activity and non-verbal creativity.

Authors:  O M Bazanova; L I Aftanas
Journal:  Neurosci Behav Physiol       Date:  2008-03

4.  Biofeedback in psychomotor training. Electrophysiological basis.

Authors:  O M Bazanova; E M Mernaya; M B Shtark
Journal:  Neurosci Behav Physiol       Date:  2009-05-12

5.  Linking brain connectivity across different time scales with electroencephalogram, functional magnetic resonance imaging, and diffusion tensor imaging.

Authors:  Kay Jann; Andrea Federspiel; Stéphanie Giezendanner; Jennifer Andreotti; Mara Kottlow; Thomas Dierks; Thomas Koenig
Journal:  Brain Connect       Date:  2012

6.  Individual Alpha Peak Frequency Moderates Transfer of Learning in Cognitive Remediation of Schizophrenia.

Authors:  B C Castelluccio; J G Kenney; J K Johannesen
Journal:  J Int Neuropsychol Soc       Date:  2020-01       Impact factor: 2.892

7.  Age-related differences on event-related potentials and brain rhythm oscillations during working memory activation.

Authors:  Pascal Missonnier; François R Herrmann; Christelle Rodriguez; Marie-Pierre Deiber; Phiippe Millet; Lara Fazio-costa; Gabriel Gold; Panteleimon Giannakopoulos
Journal:  J Neural Transm (Vienna)       Date:  2011-02-18       Impact factor: 3.575

8.  Time-Compressed Speech Identification Is Predicted by Auditory Neural Processing, Perceptuomotor Speed, and Executive Functioning in Younger and Older Listeners.

Authors:  James W Dias; Carolyn M McClaskey; Kelly C Harris
Journal:  J Assoc Res Otolaryngol       Date:  2018-11-19

9.  Frequency of alpha oscillation predicts individual differences in perceptual stability during binocular rivalry.

Authors:  Sucharit Katyal; Sheng He; Bin He; Stephen A Engel
Journal:  Hum Brain Mapp       Date:  2019-01-31       Impact factor: 5.038

10.  Individual Alpha Frequency Determines the Impact of Bottom-Up Drive on Visual Processing.

Authors:  Stephanie Nelli; Aayushi Malpani; Max Boonjindasup; John T Serences
Journal:  Cereb Cortex Commun       Date:  2021-04-26
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.