Scientific article
Open access

Subcortical electrophysiological activity is detectable with high-density EEG source imaging

Published inNature Communications, vol. 10, no. 1, 753
Publication date2019

Subcortical neuronal activity is highly relevant for mediating communication in large-scale brain networks. While electroencephalographic (EEG) recordings provide appropriate temporal resolution and coverage to study whole brain dynamics, the feasibility to detect subcortical signals is a matter of debate. Here, we investigate if scalp EEG can detect and correctly localize signals recorded with intracranial electrodes placed in the centromedial thalamus, and in the nucleus accumbens. Externalization of deep brain stimulation (DBS) electrodes, placed in these regions, provides the unique opportunity to record subcortical activity simultaneously with high-density (256 channel) scalp EEG. In three patients during rest with eyes closed, we found significant correlation between alpha envelopes derived from intracranial and EEG source reconstructed signals. Highest correlation was found for source signals in close proximity to the actual recording sites, given by the DBS electrode locations. Therefore, we present direct evidence that scalp EEG indeed can sense subcortical signals.

  • Brain/diagnostic imaging/physiology/physiopathology
  • Brain Mapping
  • Deep Brain Stimulation/methods
  • Electrodes
  • Electroencephalography/instrumentation/methods
  • Electrophysiological Phenomena
  • Humans
  • Intralaminar Thalamic Nuclei/diagnostic imaging/physiology/physiopathology
  • Magnetic Resonance Imaging
  • Nucleus Accumbens/diagnostic imaging/physiology/physiopathology
  • Obsessive-Compulsive Disorder/diagnostic imaging/physiopathology/therapy
  • Scalp/diagnostic imaging/physiology/physiopathology
  • Tomography
  • X-Ray Computed
  • Tourette Syndrome/diagnostic imaging/physiopathology/therapy
Citation (ISO format)
SEEBER, Martin et al. Subcortical electrophysiological activity is detectable with high-density EEG source imaging. In: Nature Communications, 2019, vol. 10, n° 1, p. 753. doi: 10.1038/s41467-019-08725-w
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Article (Published version)
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ISSN of the journal2041-1723

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