Literature DB >> 7530634

EEG spectral findings in healthy, elderly men and women--sex differences.

R P Brenner1, R F Ulrich, C F Reynolds.   

Abstract

Computerized spectral analysis of the EEG was performed in 119 healthy, elderly men and women, ranging in age from 60 to 87 years with an x age of 70.4 years, to evaluate gender-related variance. The groups did not differ in age, education levels or Folstein score. We compared the parasagittal derivations in men (n = 53) to women (n = 66), controlling for the effect of age by decade. Compared to men, women had a significant (usually P < 0.01) increase in the parasagittal mean frequency (1-30 Hz and 4-20 Hz), beta 1 and beta 2, while alpha 2 and theta-beta were decreased. Mean frequency did not differ significantly by decade, nor were there significant sex-age interactions. Our results extend previous EEG spectral findings to older, healthy, elderly subjects. Although the basis for the gender-related differences is uncertain, we suggest that quantitative EEGs establish gender-based norms in elderly adults.

Entities:  

Mesh:

Year:  1995        PMID: 7530634     DOI: 10.1016/0013-4694(94)00234-c

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  5 in total

1.  Identifying periods of drowsy driving using EEG.

Authors:  Timothy Brown; Robin Johnson; Gary Milavetz
Journal:  Ann Adv Automot Med       Date:  2013

2.  Pretreatment neurophysiological and clinical characteristics of placebo responders in treatment trials for major depression.

Authors:  Andrew F Leuchter; Melinda Morgan; Ian A Cook; Jennifer Dunkin; Michelle Abrams; Elise Witte
Journal:  Psychopharmacology (Berl)       Date:  2004-07-14       Impact factor: 4.530

3.  'My Virtual Dream': Collective Neurofeedback in an Immersive Art Environment.

Authors:  Natasha Kovacevic; Petra Ritter; William Tays; Sylvain Moreno; Anthony Randal McIntosh
Journal:  PLoS One       Date:  2015-07-08       Impact factor: 3.240

4.  Age-Related Changes in Electroencephalographic Signal Complexity.

Authors:  Filippo Zappasodi; Laura Marzetti; Elzbieta Olejarczyk; Franca Tecchio; Vittorio Pizzella
Journal:  PLoS One       Date:  2015-11-04       Impact factor: 3.240

5.  Age- and gender-specific characteristics of the resting-state brain activity: a magnetoencephalography study.

Authors:  Hideyuki Hoshi; Yoshihito Shigihara
Journal:  Aging (Albany NY)       Date:  2020-11-04       Impact factor: 5.682

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.