Abstract

Using intracerebral EEG recordings in a large cohort of human subjects, we investigate the time course of neural cross-talk during a simple cognitive task. Our results show that human brain dynamics undergo a characteristic sequence of synchronization patterns across different frequency bands following a visual oddball stimulus. In particular, an initial global reorganization in the delta and theta bands (2–8 Hz) is followed by gamma (20–95 Hz) and then beta band (12–20 Hz) synchrony.

Highlights

  • During cognitive tasks, different brain regions communicate with each other via oscillatory signals with functionally differentiated frequency signatures [1], but the details of the mechanisms linking the cognitive dynamics to neural events are still unknown

  • The communication-through-coherence hypothesis suggests that at the heart of cognitive dynamics lies a dynamic communication structure based on flexible neuronal coherence patterns [4]

  • Long-distance synchronization seemed to manifest itself in the lower frequency ranges such as beta, and in the theta (4–8 Hz) and alpha (8–12 Hz) range [1]

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Summary

Introduction

Different brain regions communicate with each other via oscillatory signals with functionally differentiated frequency signatures [1], but the details of the mechanisms linking the cognitive dynamics to neural events are still unknown. The communication-through-coherence hypothesis suggests that at the heart of cognitive dynamics lies a dynamic communication structure based on flexible neuronal coherence patterns [4]. Evidence for these hypotheses is found invasively in the cat and non-human primate brain [5,6,7,8,9] and noninvasively through EEG and MEG in the human brain [1,3,10,11,12,13]. Synchronization was consistently associated with an oscillatory patterning of neuronal responses, most often in the beta and gamma frequency range. Non-invasive scalp imaging in humans is a synthetic measure of multiple local circuits [12] and provides only limited information on the spatiotemporal evolution of the brain signals

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