Anticipated synchronization in human EEG data: Unidirectional causality with negative phase lag

Francisco-Leandro P. Carlos, Maciel-Monteiro Ubirakitan, Marcelo Cairrão Araújo Rodrigues, Moisés Aguilar-Domingo, Eva Herrera-Gutiérrez, Jesús Gómez-Amor, Mauro Copelli, Pedro V. Carelli, and Fernanda S. Matias
Phys. Rev. E 102, 032216 – Published 18 September 2020

Abstract

Understanding the functional connectivity of the brain has become a major goal of neuroscience. In many situations the relative phase difference, together with coherence patterns, has been employed to infer the direction of the information flow. However, it has been recently shown in local field potential data from monkeys the existence of a synchronized regime in which unidirectionally coupled areas can present both positive and negative phase differences. During the counterintuitive regime, called anticipated synchronization (AS), the phase difference does not reflect the causality. Here we investigate coherence and causality at the alpha frequency band (f10 Hz) between pairs of electroencephalogram (EEG) electrodes in humans during a GO/NO-GO task. We show that human EEG signals can exhibit anticipated synchronization, which is characterized by a unidirectional influence from an electrode A to an electrode B, but the electrode B leads the electrode A in time. To the best of our knowledge, this is the first verification of AS in EEG signals and in the human brain. The usual delayed synchronization (DS) regime is also present between many pairs. DS is characterized by a unidirectional influence from an electrode A to an electrode B and a positive phase difference between A and B which indicates that the electrode A leads the electrode B in time. Moreover we show that EEG signals exhibit diversity in the phase relations: the pairs of electrodes can present in-phase, antiphase, or out-of-phase synchronization with a similar distribution of positive and negative phase differences.

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  • Received 5 June 2020
  • Accepted 15 July 2020

DOI:https://doi.org/10.1103/PhysRevE.102.032216

©2020 American Physical Society

Physics Subject Headings (PhySH)

Nonlinear DynamicsInterdisciplinary PhysicsPhysics of Living SystemsNetworks

Authors & Affiliations

Francisco-Leandro P. Carlos1, Maciel-Monteiro Ubirakitan2,3, Marcelo Cairrão Araújo Rodrigues2, Moisés Aguilar-Domingo3,4, Eva Herrera-Gutiérrez5, Jesús Gómez-Amor4,*, Mauro Copelli6, Pedro V. Carelli6, and Fernanda S. Matias1,†

  • 1Instituto de Física, Universidade Federal de Alagoas, Maceió, Alagoas 57072-970 Brazil
  • 2Grupo de Neurodinâmica, Departamento de Fisiologia e Farmacologia, Universidade Federal de Pernambuco, Recife PE 50670-901, Brazil
  • 3Spanish Foundation for Neurometrics Development, Department of Psychophysics & Psychophysiology, 30100, Murcia, Spain
  • 4Department of Human Anatomy and Psychobiology, Faculty of Psychology, University of Murcia, 30100 Espinardo Campus, Murcia, Spain
  • 5Department of Developmental and Educational Psychology, Faculty of Psychology, University of Murcia, 30100 Espinardo Campus, Murcia, Spain
  • 6Departamento de Física, Universidade Federal de Pernambuco, Recife PE 50670-901, Brazil

  • *Deceased.
  • fernanda@fis.ufal.br

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Vol. 102, Iss. 3 — September 2020

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