Assessing cortical excitability with electroencephalography: A pilot study with EEG-iTBS.

E/I Balance EEG Excitability Intrinsic TMS iTBS

Journal

Brain stimulation
ISSN: 1876-4754
Titre abrégé: Brain Stimul
Pays: United States
ID NLM: 101465726

Informations de publication

Date de publication:
27 Jan 2024
Historique:
received: 11 09 2023
revised: 26 11 2023
accepted: 11 01 2024
medline: 30 1 2024
pubmed: 30 1 2024
entrez: 29 1 2024
Statut: aheadofprint

Résumé

Cortical excitability measures neural reactivity to stimuli, usually delivered via Transcranial Magnetic Stimulation (TMS). Excitation/inhibition balance (E/I) is the ongoing equilibrium between excitatory and inhibitory activity of neural circuits. According to some studies, E/I could be estimated in-vivo and non-invasively through the modeling of electroencephalography (EEG) signals and termed 'intrinsic excitability' measures. Several measures have been proposed (phase consistency in the gamma band, sample entropy, exponent of the power spectral density 1/f curve, E/I index extracted from detrend fluctuation analysis, and alpha power). Intermittent theta burst stimulation (iTBS) of the primary motor cortex (M1) is a non-invasive neuromodulation technique allowing controlled and focal enhancement of TMS cortical excitability and E/I of the stimulated hemisphere. Investigating to what extent E/I estimates scale with TMS excitability and how they relate to each other. M1 excitability (TMS) and several E/I estimates extracted from resting state EEG recordings were assessed before and after iTBS in a cohort of healthy subjects. Enhancement of TMS M1 excitability, as measured through motor-evoked potentials (MEPs), and phase consistency of the cortex in high gamma band correlated with each other. Other measures of E/I showed some expected results, but no correlation with TMS excitability measures or strong consistency with each other. EEG E/I estimates offer an intriguing opportunity to map cortical excitability non-invasively, with high spatio-temporal resolution and with a stimulus independent approach. While different EEG E/I estimates may reflect the activity of diverse excitatory-inhibitory circuits, spatial phase synchrony in the gamma band is the measure that best captures excitability changes in the primary motor cortex.

Sections du résumé

BACKGROUND BACKGROUND
Cortical excitability measures neural reactivity to stimuli, usually delivered via Transcranial Magnetic Stimulation (TMS). Excitation/inhibition balance (E/I) is the ongoing equilibrium between excitatory and inhibitory activity of neural circuits. According to some studies, E/I could be estimated in-vivo and non-invasively through the modeling of electroencephalography (EEG) signals and termed 'intrinsic excitability' measures. Several measures have been proposed (phase consistency in the gamma band, sample entropy, exponent of the power spectral density 1/f curve, E/I index extracted from detrend fluctuation analysis, and alpha power). Intermittent theta burst stimulation (iTBS) of the primary motor cortex (M1) is a non-invasive neuromodulation technique allowing controlled and focal enhancement of TMS cortical excitability and E/I of the stimulated hemisphere.
OBJECTIVE OBJECTIVE
Investigating to what extent E/I estimates scale with TMS excitability and how they relate to each other.
METHODS METHODS
M1 excitability (TMS) and several E/I estimates extracted from resting state EEG recordings were assessed before and after iTBS in a cohort of healthy subjects.
RESULTS RESULTS
Enhancement of TMS M1 excitability, as measured through motor-evoked potentials (MEPs), and phase consistency of the cortex in high gamma band correlated with each other. Other measures of E/I showed some expected results, but no correlation with TMS excitability measures or strong consistency with each other.
CONCLUSIONS CONCLUSIONS
EEG E/I estimates offer an intriguing opportunity to map cortical excitability non-invasively, with high spatio-temporal resolution and with a stimulus independent approach. While different EEG E/I estimates may reflect the activity of diverse excitatory-inhibitory circuits, spatial phase synchrony in the gamma band is the measure that best captures excitability changes in the primary motor cortex.

Identifiants

pubmed: 38286400
pii: S1935-861X(24)00004-4
doi: 10.1016/j.brs.2024.01.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Giovanni Pellegrino (G)

Epilepsy Program, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada. Electronic address: giovannipellegrino@gmail.com.

Anna-Lisa Schuler (AL)

Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Zhengchen Cai (Z)

Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada.

Daniele Marinazzo (D)

Department of Data Analysis, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium.

Franca Tecchio (F)

Laboratory of Electrophysiology for Translational NeuroScience (LET'S), Institute of Cognitive Sciences and Technologies (ISTC) - Consiglio Nazionale Delle Ricerche (CNR), Rome, Italy.

Lorenzo Ricci (L)

Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro Del Portillo, 200, 00128, Roma, Italy; Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Unit of Neurology, Neurophysiology, Neurobiology and Psichiatry, Via Alvaro Del Portillo, 21, 00128, Roma, Italy.

Mario Tombini (M)

Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro Del Portillo, 200, 00128, Roma, Italy; Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Unit of Neurology, Neurophysiology, Neurobiology and Psichiatry, Via Alvaro Del Portillo, 21, 00128, Roma, Italy.

Vincenzo di Lazzaro (V)

Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro Del Portillo, 200, 00128, Roma, Italy; Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Unit of Neurology, Neurophysiology, Neurobiology and Psichiatry, Via Alvaro Del Portillo, 21, 00128, Roma, Italy.

Giovanni Assenza (G)

Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro Del Portillo, 200, 00128, Roma, Italy; Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Unit of Neurology, Neurophysiology, Neurobiology and Psichiatry, Via Alvaro Del Portillo, 21, 00128, Roma, Italy. Electronic address: G.Assenza@policlinicocampus.it.

Classifications MeSH