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Updated: Aug 18, 2026
Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
Published on: October 30, 2018
Spectral modulation of cortical connections measured by EEG coherence in humans
B Shen1, M Nadkarni, R A Zappulla
1Department of Neuroscience, Seton Hall University, New Jersey Neuroscience Institute at JFK Medical Center, Edison 08818-3059, USA.
Objective:
Description of coherence patterns of cortical EEG.
Methods:
EEG recordings were collected from 9 subdural electrode grids implanted in 6 patients undergoing EEG monitoring for refractory epilepsy.
Results:
Coherence decreased with increasing inter-electrode distance and exhibited considerable variability at the same inter-electrode distances. Analysis of variance demonstrated that both spatial and temporal factors contributed significantly (P < 0.01) to this variability. The spatial factor contributed the largest portion (up to 90%) of the variability, and was modulated by frequency and inter-electrode distance.
Conclusion:
The finding that the mean frequency modulation was consistent over time for the same pair of electrodes and was different between different pairs of electrodes indicated a spatial-spectral pattern of cortical synchrony. The connections (pairs of electrodes) could be accordingly predicted from their spatial-spectral pattern, which suggested that the spatial heterogeneity of neuronal synchrony was expressed not only by the degree of synchrony, but also by distinct spectral channels of synchrony. A model based on neuronal connection and activation is proposed to account for the observations.
