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Neuronal dynamics underlying high- and low- frequency EEG oscillations contribute independently to the human BOLD signal

MPG-Autoren

Fries,  Pascal
Donders Institute for Brain, Cognition and Behaviour, External Organizations;
Ernst Strüngmann Institute (ESI) in Cooperation with Max Planck Society;

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Petersson,  Karl Magnus
Donders Institute for Brain, Cognition and Behaviour, External Organizations;
Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society;
Unification, MPI for Psycholinguistics, Max Planck Society;

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Hagoort,  Peter
Donders Institute for Brain, Cognition and Behaviour, External Organizations;
Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society;
Unification, MPI for Psycholinguistics, Max Planck Society;

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Bastiaansen,  Marcel C. M.
Donders Institute for Brain, Cognition and Behaviour, External Organizations;
Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society;
Unification, MPI for Psycholinguistics, Max Planck Society;

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Zitation

Scheeringa, R., Fries, P., Petersson, K. M., Oostenveld, R., Grothe, I., Norris, D. G., et al. (2011). Neuronal dynamics underlying high- and low- frequency EEG oscillations contribute independently to the human BOLD signal. Neuron, 69, 572-583. doi:10.1016/j.neuron.2010.11.044.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0013-3AAA-F
Zusammenfassung
Work on animals indicates that BOLD is preferentially sensitive to local field potentials, and that it correlates most strongly with gamma band neuronal synchronization. Here we investigate how the BOLD signal in humans performing a cognitive task is related to neuronal synchronization across different frequency bands. We simultaneously recorded EEG and BOLD while subjects engaged in a visual attention task known to induce sustained changes in neuronal synchronization across a wide range of frequencies. Trial-by-trial BOLD luctuations correlated positively with trial-by-trial fluctuations in high-EEG gamma power (60–80 Hz) and negatively with alpha and beta power. Gamma power on the one hand, and alpha and beta power on the other hand, independently contributed to explaining BOLD variance. These results indicate that the BOLD-gamma coupling observed in animals can be extrapolated to humans performing a task and that neuronal dynamics underlying high- and low-frequency synchronization contribute independently to the BOLD signal.