Literature DB >> 24960420

High-gamma activity in an attention network predicts individual differences in elderly adults' behavioral performance.

Yoritaka Akimoto1, Takayuki Nozawa2, Akitake Kanno3, Mizuki Ihara4, Takakuni Goto5, Takeshi Ogawa6, Toshimune Kambara7, Motoaki Sugiura8, Eiichi Okumura9, Ryuta Kawashima10.   

Abstract

The current study used a magnetoencephalogram to investigate the relationship between high-gamma (52-100 Hz) activity within an attention network and individual differences in behavioral performance among healthy elderly adults. We analyzed brain activity in 41 elderly subjects performing a 3-stimulus visual oddball task. In addition to the average amplitude of event-related fields in the left intraparietal sulcus (IPS), high-gamma power in the left middle frontal gyrus (MFG), the strength of high-gamma imaginary coherence between the right MFG and the left MFG, and those between the right MFG and the left thalamus predicted individual differences in reaction time. In addition, high-gamma power in the left MFG was correlated with task accuracy, whereas high-gamma power in the left thalamus and left IPS was correlated with individual processing speed. The direction of correlations indicated that higher high-gamma power or coherence in an attention network was associated with better task performance and, presumably, higher cognitive function. Thus, high-gamma activity in different regions of this attention network differentially contributed to attentional processing, and such activity could be a fundamental process associated with individual differences in cognitive aging.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Attention; High-gamma activities; Individual differences; Reaction time

Mesh:

Year:  2014        PMID: 24960420     DOI: 10.1016/j.neuroimage.2014.06.037

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  3 in total

1.  High-gamma power changes after cognitive intervention: preliminary results from twenty-one senior adult subjects.

Authors:  Yoritaka Akimoto; Takayuki Nozawa; Akitake Kanno; Toshimune Kambara; Mizuki Ihara; Takeshi Ogawa; Takakuni Goto; Yasuyuki Taki; Ryoichi Yokoyama; Yuka Kotozaki; Rui Nouchi; Atsushi Sekiguchi; Hikaru Takeuchi; Carlos Makoto Miyauchi; Motoaki Sugiura; Eiichi Okumura; Takashi Sunda; Toshiyuki Shimizu; Eiji Tozuka; Satoru Hirose; Tatsuyoshi Nanbu; Ryuta Kawashima
Journal:  Brain Behav       Date:  2016-01-30       Impact factor: 2.708

2.  Moderating Effects of Cortisol on Neural-Cognitive Association in Cognitively Normal Elderly Subjects.

Authors:  Way K W Lau; Mei Kei Leung; Andrew C K Law; Tatia M C Lee
Journal:  Front Aging Neurosci       Date:  2017-05-24       Impact factor: 5.750

3.  High-wearable EEG-based distraction detection in motor rehabilitation.

Authors:  Andrea Apicella; Pasquale Arpaia; Mirco Frosolone; Nicola Moccaldi
Journal:  Sci Rep       Date:  2021-03-05       Impact factor: 4.379

  3 in total

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