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Coupling Between Resting Cerebral Perfusion and EEG

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Abstract

While several studies have investigated interactions between the electroencephalography (EEG) and functional magnetic resonance imaging BOLD signal fluctuations, less is known about the associations between EEG oscillations and baseline brain haemodynamics, and few studies have examined the link between EEG power outside the alpha band and baseline perfusion. Here we compare whole-brain arterial spin labelling perfusion MRI and EEG in a group of healthy adults (n = 16, ten females, median age: 27 years, range 21–48) during an eyes closed rest condition. Correlations emerged between perfusion and global average EEG power in low (delta: 2–4 Hz and theta: 4–7 Hz), middle (alpha: 8–13 Hz), and high (beta: 13–30 Hz and gamma: 30–45 Hz) frequency bands in both cortical and sub-cortical regions. The correlations were predominately positive in middle and high-frequency bands, and negative in delta. In addition, central alpha frequency positively correlated with perfusion in a network of brain regions associated with the modulation of attention and preparedness for external input, and central theta frequency correlated negatively with a widespread network of cortical regions. These results indicate that the coupling between average EEG power/frequency and local cerebral blood flow varies in a frequency specific manner. Our results are consistent with longstanding concepts that decreasing EEG frequencies which in general map onto decreasing levels of activation.

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Abbreviations

ASL:

Arterial spin labeling

BA:

Brodmann area

BOLD:

Blood oxygenation level dependent

EEG:

Electroencephalogram

FDG:

Fluoro-deoxyglucose

FWE:

Family-wise error

fMRI:

Functional magnetic resonance imaging

ICA:

Independent component analysis

MEG:

Magnetoencephalography

MNI:

Montreal neurological institute

MRT:

Magnetic resonance tomography

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Acknowledgments

This work was supported by the NCCR on Neural Plasticity and Repair, and by the University Research Priority Program on Integrative Human Physiology. We thank Dr. John Suckling and the developer teams at Cambridge University and the Institute of Psychiatry, King’s College London (London, UK) for advice regarding the CamBA installation and analysis.

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Authors and Affiliations

  1. Center for MR-Research, University Children’s Hospital Zurich, Steinwiesstrasse 75, CH-8032, Zurich, Switzerland

    R. L. O’Gorman, S.-S. Poil, P. Klaver, S. Bollmann, C. Ghisleni, E. Martin & L. Michels

  2. Institute of Neuroradiology, University Hospital of Zurich, Zurich, Switzerland

    L. Michels

  3. Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland

    R. L. O’Gorman, D. Brandeis, P. Klaver & E. Martin

  4. Department of Child and Adolescent Psychiatry, University of Zürich, Zurich, Switzerland

    D. Brandeis & R. Lüchinger

  5. Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany

    D. Brandeis

  6. Institute of Psychology, Division of Abnormal Psychology and Clinical Intervention, University of Zurich, Zurich, Switzerland

    P. Klaver

  7. GE Medical Systems, Applied Science Lab, Menlo Park, CA, USA

    A. Shankaranarayanan

  8. Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA

    D. C. Alsop

  9. Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland

    D. Brandeis & P. Klaver

Authors
  1. R. L. O’Gorman
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  2. S.-S. Poil
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  3. D. Brandeis
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  4. P. Klaver
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  5. S. Bollmann
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  6. C. Ghisleni
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  7. R. Lüchinger
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  8. E. Martin
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  9. A. Shankaranarayanan
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  10. D. C. Alsop
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  11. L. Michels
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Corresponding author

Correspondence to L. Michels.

Electronic supplementary material

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10548_2012_265_MOESM1_ESM.tif

Supplementary Figure 1: Scatter plot showing the correlation between alpha central frequency (Top) and theta central frequency (Bottom) with perfusion. (TIFF 469 kb)

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O’Gorman, R.L., Poil, SS., Brandeis, D. et al. Coupling Between Resting Cerebral Perfusion and EEG. Brain Topogr 26, 442–457 (2013). https://doi.org/10.1007/s10548-012-0265-7

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  • DOI: https://doi.org/10.1007/s10548-012-0265-7

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