Literature DB >> 23551082

Peak individual alpha frequency qualifies as a stable neurophysiological trait marker in healthy younger and older adults.

Thomas H Grandy1, Markus Werkle-Bergner, Christian Chicherio, Florian Schmiedek, Martin Lövdén, Ulman Lindenberger.   

Abstract

The individual alpha frequency (IAF) of the human EEG reflects systemic properties of the brain, is highly heritable, and relates to cognitive functioning. Not much is known about the modifiability of IAF by cognitive interventions. We report analyses of resting EEG from a large-scale training study in which healthy younger (20-31 years, N = 30) and older (65-80 years, N = 28) adults practiced 12 cognitive tasks for ∼100 1-h sessions. EEG was recorded before and after the cognitive training intervention. In both age groups, IAF (and, in a control analysis, alpha amplitude) did not change, despite large gains in cognitive performance. As within-session reliability and test-retest stability were high for both age groups, imprecise measurements cannot account for the findings. In sum, IAF is highly stable in healthy adults up to 80 years, not easily modifiable by cognitive interventions alone, and thus qualifies as a stable neurophysiological trait marker.
Copyright © 2013 Society for Psychophysiological Research.

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Year:  2013        PMID: 23551082     DOI: 10.1111/psyp.12043

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  60 in total

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

3.  Peak alpha frequency is a neural marker of cognitive function across the autism spectrum.

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Journal:  Eur J Neurosci       Date:  2017-08-01       Impact factor: 3.386

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Authors:  Juliana Corlier; Andrew Wilson; Aimee M Hunter; Nikita Vince-Cruz; David Krantz; Jennifer Levitt; Michael J Minzenberg; Nathaniel Ginder; Ian A Cook; Andrew F Leuchter
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

5.  Atrophy and lower regional perfusion of temporo-parietal brain areas are correlated with impairment in memory performances and increase of EEG upper alpha power in prodromal Alzheimer's disease.

Authors:  Vito Davide Moretti
Journal:  Am J Neurodegener Dis       Date:  2015-09-10

6.  The Speed of Alpha-Band Oscillations Predicts the Temporal Resolution of Visual Perception.

Authors:  Jason Samaha; Bradley R Postle
Journal:  Curr Biol       Date:  2015-10-29       Impact factor: 10.834

7.  EEG spectral power abnormalities and their relationship with cognitive dysfunction in patients with Alzheimer's disease and type 2 diabetes.

Authors:  Christopher S Y Benwell; Paula Davila-Pérez; Peter J Fried; Richard N Jones; Thomas G Travison; Emiliano Santarnecchi; Alvaro Pascual-Leone; Mouhsin M Shafi
Journal:  Neurobiol Aging       Date:  2019-10-14       Impact factor: 4.673

8.  Sensorimotor Peak Alpha Frequency Is a Reliable Biomarker of Prolonged Pain Sensitivity.

Authors:  Andrew J Furman; Mariya Prokhorenko; Michael L Keaser; Jing Zhang; Shuo Chen; Ali Mazaheri; David A Seminowicz
Journal:  Cereb Cortex       Date:  2020-11-03       Impact factor: 5.357

9.  Addiction history moderates the effect of prefrontal 10-Hz transcranial alternating current stimulation on habitual action selection.

Authors:  Theresa H McKim; Samantha J Dove; Donita L Robinson; Flavio Fröhlich; Charlotte A Boettiger
Journal:  J Neurophysiol       Date:  2020-12-23       Impact factor: 2.714

10.  Resting-state EEG Connectivity in Young Children with ADHD.

Authors:  Sarah Furlong; Jessica R Cohen; Joseph Hopfinger; Jenna Snyder; Madeline M Robertson; Margaret A Sheridan
Journal:  J Clin Child Adolesc Psychol       Date:  2020-08-18
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