Literature DB >> 11056838

Effect of normal aging upon interhemispheric EEG coherence: analysis during rest and photic stimulation.

M Kikuchi1, Y Wada, Y Koshino, Y Nanbu, T Hashimoto.   

Abstract

The present study was conducted to examine and compare interhemispheric EEG coherence at rest and during photic stimulation (PS; 5, 10 and 15 Hz) in 30 younger subjects aged 22.1 +/- 2.2 (mean +/- S.D.) and 25 elderly subjects aged 56.8 +/- 4.9. The elderly subjects had significantly lower coherence in the resting EEG for the delta, theta, alpha-3, beta-1 and beta-2 frequency bands. In contrast, EEG analysis during PS showed that elderly subjects had significantly higher coherence in the frequency corresponding to PS at 15 Hz. In addition, when we examined the changes in coherence from the resting state to the stimulus condition (i.e., coherence reactivity), elderly subjects had significantly higher coherence reactivity to PS at 15 Hz. These findings suggest a low interhemispheric functional connectivity in elderly subjects under non stimulus conditions and a high connectivity during photic stimulus.

Entities:  

Mesh:

Year:  2000        PMID: 11056838     DOI: 10.1177/155005940003100404

Source DB:  PubMed          Journal:  Clin Electroencephalogr        ISSN: 0009-9155


  11 in total

1.  EEG inter/intra-hemispheric coherence and asymmetric responses to visual stimulations.

Authors:  Dean Cvetkovic; Irena Cosic
Journal:  Med Biol Eng Comput       Date:  2009-06-17       Impact factor: 2.602

2.  Electroencephalographic coherence, aging, and memory: distinct responses to background context and stimulus repetition in younger, older, and older declined groups.

Authors:  Michael Hogan; Peter Collins; Michael Keane; Liam Kilmartin; Jochen Kaiser; Joanne Kenney; Robert Lai; Neil Upton
Journal:  Exp Brain Res       Date:  2011-05-17       Impact factor: 1.972

3.  Spatiotemporal dependency of age-related changes in brain signal variability.

Authors:  A R McIntosh; V Vakorin; N Kovacevic; H Wang; A Diaconescu; A B Protzner
Journal:  Cereb Cortex       Date:  2013-02-08       Impact factor: 5.357

4.  Temporo-frontal functional connectivity during auditory change detection is altered in Alzheimer's disease.

Authors:  Fu-Jung Hsiao; Wei-Ta Chen; Pei-Ning Wang; Chia-Hsiung Cheng; Yung-Yang Lin
Journal:  Hum Brain Mapp       Date:  2014-06-27       Impact factor: 5.038

5.  Impact of visual repetition rate on intrinsic properties of low frequency fluctuations in the visual network.

Authors:  Yi-Chia Li; Chien-Chung Chen; Jyh-Horng Chen
Journal:  PLoS One       Date:  2011-05-24       Impact factor: 3.240

Review 6.  Exercise-Related Changes of Networks in Aging and Mild Cognitive Impairment Brain.

Authors:  Pei Huang; Rong Fang; Bin-Yin Li; Sheng-Di Chen
Journal:  Front Aging Neurosci       Date:  2016-03-07       Impact factor: 5.750

7.  Detection of time-, frequency- and direction-resolved communication within brain networks.

Authors:  Barry Crouch; Linda Sommerlade; Peter Veselcic; Gernot Riedel; Björn Schelter; Bettina Platt
Journal:  Sci Rep       Date:  2018-01-29       Impact factor: 4.379

8.  Melatonin Effects on EEG Activity During Sleep Onset in Mild-to-Moderate Alzheimer's Disease: A Pilot Study.

Authors:  Manuel Alejandro Cruz-Aguilar; Ignacio Ramírez-Salado; Miguel Angel Guevara; Marisela Hernández-González; Gloria Benitez-King
Journal:  J Alzheimers Dis Rep       Date:  2018-03-06

9.  Predicting Age From Brain EEG Signals-A Machine Learning Approach.

Authors:  Obada Al Zoubi; Chung Ki Wong; Rayus T Kuplicki; Hung-Wen Yeh; Ahmad Mayeli; Hazem Refai; Martin Paulus; Jerzy Bodurka
Journal:  Front Aging Neurosci       Date:  2018-07-02       Impact factor: 5.750

Review 10.  Music Training, Working Memory, and Neural Oscillations: A Review.

Authors:  Kate A Yurgil; Miguel A Velasquez; Jenna L Winston; Noah B Reichman; Paul J Colombo
Journal:  Front Psychol       Date:  2020-02-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.