Brain Topography

, Volume 26, Issue 3, pp 442–457 | Cite as

Coupling Between Resting Cerebral Perfusion and EEG

  • R. L. O’Gorman
  • S.-S. Poil
  • D. Brandeis
  • P. Klaver
  • S. Bollmann
  • C. Ghisleni
  • R. Lüchinger
  • E. Martin
  • A. Shankaranarayanan
  • D. C. Alsop
  • L. MichelsEmail author
Original Paper


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.


Arterial spin labelling EEG power Whole-brain perfusion Resting state 



Arterial spin labeling


Brodmann area


Blood oxygenation level dependent






Family-wise error


Functional magnetic resonance imaging


Independent component analysis




Montreal neurological institute


Magnetic resonance tomography



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.

Supplementary material

10548_2012_265_MOESM1_ESM.tif (470 kb)
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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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • R. L. O’Gorman
    • 1
    • 3
  • S.-S. Poil
    • 1
  • D. Brandeis
    • 3
    • 4
    • 5
    • 9
  • P. Klaver
    • 6
    • 9
    • 3
    • 1
  • S. Bollmann
    • 1
  • C. Ghisleni
    • 1
  • R. Lüchinger
    • 4
  • E. Martin
    • 1
    • 3
  • A. Shankaranarayanan
    • 7
  • D. C. Alsop
    • 8
  • L. Michels
    • 1
    • 2
    Email author
  1. 1.Center for MR-ResearchUniversity Children’s Hospital ZurichZurichSwitzerland
  2. 2.Institute of NeuroradiologyUniversity Hospital of ZurichZurichSwitzerland
  3. 3.Zurich Center for Integrative Human PhysiologyUniversity of ZurichZurichSwitzerland
  4. 4.Department of Child and Adolescent PsychiatryUniversity of ZürichZurichSwitzerland
  5. 5.Department of Child and Adolescent Psychiatry and PsychotherapyCentral Institute of Mental Health, Medical Faculty Mannheim/Heidelberg UniversityMannheimGermany
  6. 6.Institute of Psychology, Division of Abnormal Psychology and Clinical InterventionUniversity of ZurichZurichSwitzerland
  7. 7.GE Medical Systems, Applied Science LabMenlo ParkUSA
  8. 8.Department of RadiologyBeth Israel Deaconess Medical Center and Harvard Medical SchoolBostonUSA
  9. 9.Neuroscience Center ZurichUniversity of Zurich and ETH ZurichZurichSwitzerland

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