Single-trial EEG analysis reveals burst structure during photic driving.
Alpha rhythm
Brain waves
Cortical synchronization
Photic stimulation
Visual cortex
Journal
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
ISSN: 1872-8952
Titre abrégé: Clin Neurophysiol
Pays: Netherlands
ID NLM: 100883319
Informations de publication
Date de publication:
01 Feb 2024
01 Feb 2024
Historique:
received:
30
06
2023
revised:
06
12
2023
accepted:
20
01
2024
medline:
14
2
2024
pubmed:
14
2
2024
entrez:
13
2
2024
Statut:
aheadofprint
Résumé
Photic driving in the human visual cortex evoked by intermittent photic stimulation is usually characterized in averaged data by an ongoing oscillation showing frequency entrainment and resonance phenomena during the course of stimulation. We challenge this view of an ongoing oscillation by analyzing unaveraged data. 64-channel EEGs were recorded during visual stimulation with light flashes at eight stimulation frequencies between 7.8 and 23 Hz for fourteen healthy volunteers. Time-frequency analyses were performed in averaged and unaveraged data. While we find ongoing oscillations in the averaged data during intermittent photic stimulation, we find transient events (bursts) of activity in the unaveraged data. Both resonance and entrainment occur for the ongoing oscillations in the averaged data and the bursts in the unaveraged data. We argue that the continuous oscillations in the averaged signal may be composed of brief, transient bursts in single trials. Our results can also explain previously observed amplitude fluctuations in averaged photic driving data. Single-trial analyses might consequently improve our understanding of resonance and entrainment phenomena in the brain.
Identifiants
pubmed: 38350295
pii: S1388-2457(24)00015-4
doi: 10.1016/j.clinph.2024.01.005
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
66-74Informations de copyright
Copyright © 2024 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.