Literature DB >> 31273565

Cross-Species Investigation on Resting State Electroencephalogram.

Fengrui Zhang1, Feixue Wang1, Lupeng Yue2,3, Huijuan Zhang2,3, Weiwei Peng4, Li Hu5,6,7.   

Abstract

Resting state electroencephalography (EEG) during eyes-closed and eyes-open conditions is widely used to evaluate brain states of healthy populations and brain dysfunctions in clinical conditions. Although several results have been obtained by measuring these brain activities in humans, it remains unclear whether the same results can be replicated in animals, i.e., whether the physiological properties revealed by these findings are phylogenetically conserved across species. In the present study, we describe a paradigm for recording resting state EEG activities during eyes-closed and eyes-open conditions from rats, and investigated the differences between eyes-closed and eyes-open conditions for humans and rats. We found that compared to the eyes-open condition, human EEG spectral amplitude in the eyes-closed condition was significantly higher at 8-12 Hz and 18-22 Hz in the occipital region, but significantly lower at 18-22 Hz and 30-100 Hz in the frontal region. In contrast, rat EEG spectral amplitude was significantly higher in the eyes-closed condition than in the eyes-open condition at 1-4 Hz, 8-12 Hz, and 13-17 Hz in the frontal-central region. In both species, the 1/f-like power spectrum scaling of resting state EEG activities was significantly higher in the eyes-closed condition than in the eyes-open condition at parietal-occipital and frontal regions. These results provided a neurophysiological basis for future translational studies from experimental animal findings to human psychophysiology, since the validity of such translation critically relies on a well-established experimental paradigm and a carefully-examined signal characteristic to bridge the gaps across different species.

Entities:  

Keywords:  1/f characteristic; Across-species comparison; Electroencephalogram (EEG); Power spectra; Resting state

Mesh:

Year:  2019        PMID: 31273565     DOI: 10.1007/s10548-019-00723-x

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  55 in total

1.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

Authors:  Arnaud Delorme; Scott Makeig
Journal:  J Neurosci Methods       Date:  2004-03-15       Impact factor: 2.390

2.  [EEG changes in comparison of rest states with open and closed eyes in complete darkness].

Authors:  Iu A Boĭtsova; S G Dan'ko
Journal:  Fiziol Cheloveka       Date:  2010 May-Jun

Review 3.  The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes.

Authors:  György Buzsáki; Costas A Anastassiou; Christof Koch
Journal:  Nat Rev Neurosci       Date:  2012-05-18       Impact factor: 34.870

4.  EEG differences between eyes-closed and eyes-open resting conditions.

Authors:  Robert J Barry; Adam R Clarke; Stuart J Johnstone; Christopher A Magee; Jacqueline A Rushby
Journal:  Clin Neurophysiol       Date:  2007-10-02       Impact factor: 3.708

Review 5.  Scaling brain size, keeping timing: evolutionary preservation of brain rhythms.

Authors:  György Buzsáki; Nikos Logothetis; Wolf Singer
Journal:  Neuron       Date:  2013-10-30       Impact factor: 17.173

Review 6.  Unveiling the mystery of visual information processing in human brain.

Authors:  Emanuel Diamant
Journal:  Brain Res       Date:  2008-05-18       Impact factor: 3.252

7.  EEG differences between eyes-closed and eyes-open resting remain in healthy ageing.

Authors:  Robert J Barry; Frances M De Blasio
Journal:  Biol Psychol       Date:  2017-09-21       Impact factor: 3.251

8.  Resting state eyes-closed cortical rhythms in patients with locked-in-syndrome: an EEG study.

Authors:  Claudio Babiloni; Francesca Pistoia; Marco Sarà; Fabrizio Vecchio; Paola Buffo; Massimiliano Conson; Paolo Onorati; Giorgio Albertini; Paolo Maria Rossini
Journal:  Clin Neurophysiol       Date:  2010-06-11       Impact factor: 3.708

9.  Template-based prediction of vigilance fluctuations in resting-state fMRI.

Authors:  Maryam Falahpour; Catie Chang; Chi Wah Wong; Thomas T Liu
Journal:  Neuroimage       Date:  2018-03-13       Impact factor: 6.556

10.  EEG default mode network in the human brain: spectral regional field powers.

Authors:  Andrew C N Chen; Weijia Feng; Huixuan Zhao; Yanling Yin; Peipei Wang
Journal:  Neuroimage       Date:  2008-01-15       Impact factor: 6.556

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  1 in total

1.  Waves of Change: Brain Sensitivity to Differential, not Absolute, Stimulus Intensity is Conserved Across Humans and Rats.

Authors:  R Somervail; F Zhang; G Novembre; R J Bufacchi; Y Guo; M Crepaldi; L Hu; G D Iannetti
Journal:  Cereb Cortex       Date:  2021-01-05       Impact factor: 5.357

  1 in total

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