Cross-Species Investigation on Resting State Electroencephalogram
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.
KeywordsElectroencephalogram (EEG) Resting state Power spectra 1/f characteristic Across-species comparison
This work was supported by the National Natural Science Foundation of China (Nos. 31671141, 31822025), the Informatization Special Project of Chinese Academy of Sciences (No. XXH13506-306), and the Scientific Foundation project of Institute of Psychology, Chinese Academy of Sciences (No. Y6CX021008). The funders had no role in study design, data collection, data analysis, decision to publish, or preparation of the manuscript. The authors have declared that no competing interests exist.
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- Goldman RI, Stern JM, Engel J, Cohen MS (2002) Simultaneous EEG and fMRI of the alpha rhythm. NeuroReport 13:2487–2492. https://doi.org/10.1097/01.wnr.0000047685.08940.d0 CrossRefPubMedPubMedCentralGoogle Scholar
- Hardmeier M, Hatz F, Bousleiman H et al (2014) Reproducibility of functional connectivity and graph measures based on the phase lag index (PLI) and weighted phase lag index (wPLI) derived from high resolution EEG. PLoS ONE 9:e108648. https://doi.org/10.1371/journal.pone.0108648 CrossRefPubMedPubMedCentralGoogle Scholar
- Miraglia F, Vecchio F, Bramanti P, Rossini PM (2016) EEG characteristics in “eyes-open” versus “eyes-closed” conditions: small-world network architecture in healthy aging and age-related brain degeneration. Clin Neurophysiol 127:1261–1268. https://doi.org/10.1016/j.clinph.2015.07.040 CrossRefPubMedGoogle Scholar
- Narayanan B, O’Neil K, Berwise C et al (2014) Resting state electroencephalogram oscillatory abnormalities in schizophrenia and psychotic bipolar patients and their relatives from the bipolar and schizophrenia network on intermediate phenotypes study. Biol Psychiatry 76:456–465. https://doi.org/10.1016/j.biopsych.2013.12.008 CrossRefPubMedGoogle Scholar
- Schaeffel F (2009) Processing of information in the human visual system. Wiley-VCH, WeinheimGoogle Scholar
- White RS, Siegel SJ (2016) Cellular and circuit models of increased resting-state network gamma activity in schizophrenia. Neuroscience 321:66–76. https://doi.org/10.1016/j.neuroscience.2015.11.011 CrossRefPubMedGoogle Scholar