Estimated EEG functional connectivity and aperiodic component induced by vagal nerve stimulation in patients with drug-resistant epilepsy.

EEG aperiodic component drug-resistant epilepsy (DRE) functional connectivity (Fc) vagus nerve stimulation (VNS)

Journal

Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899

Informations de publication

Date de publication:
2022
Historique:
received: 28 08 2022
accepted: 28 10 2022
entrez: 12 12 2022
pubmed: 13 12 2022
medline: 13 12 2022
Statut: epublish

Résumé

Vagal nerve stimulation (VNS) improves seizure frequency and quality of life in patients with drug-resistant epilepsy (DRE), although the exact mechanism is not fully understood. Previous studies have evaluated the effect of VNS on functional connectivity using the phase lag index (PLI), but none has analyzed its effect on EEG aperiodic parameters (offset and exponent), which are highly conserved and related to physiological functions. This study aimed to evaluate the effect of VNS on PLI and aperiodic parameters and infer whether these changes correlate with clinical responses in subjects with DRE. PLI, exponent, and offset were derived for each epoch (and each frequency band for PLI), on scalp-derived 64-channel EEG traces of 10 subjects with DRE, recorded before and 1 year after VNS. PLI, exponent, and offset were compared before and after VNS for each patient on a global basis, individual scalp regions, and channels and separately in responders and non-responders. A correlation analysis was performed between global changes in PLI and aperiodic parameters and clinical response. PLI (global and regional) decreased after VNS for gamma and delta bands and increased for an alpha band in responders, but it was not modified in non-responders. Aperiodic parameters after VNS showed an opposite trend in responders vs. non-responders: both were reduced in responders after VNS, but they were increased in non-responders. Changes in aperiodic parameters correlated with the clinical response. This study explored the action of VNS therapy from a new perspective and identified EEG aperiodic parameters as a new and promising method to analyze the efficacy of neuromodulation.

Sections du résumé

Background UNASSIGNED
Vagal nerve stimulation (VNS) improves seizure frequency and quality of life in patients with drug-resistant epilepsy (DRE), although the exact mechanism is not fully understood. Previous studies have evaluated the effect of VNS on functional connectivity using the phase lag index (PLI), but none has analyzed its effect on EEG aperiodic parameters (offset and exponent), which are highly conserved and related to physiological functions.
Objective UNASSIGNED
This study aimed to evaluate the effect of VNS on PLI and aperiodic parameters and infer whether these changes correlate with clinical responses in subjects with DRE.
Materials and methods UNASSIGNED
PLI, exponent, and offset were derived for each epoch (and each frequency band for PLI), on scalp-derived 64-channel EEG traces of 10 subjects with DRE, recorded before and 1 year after VNS. PLI, exponent, and offset were compared before and after VNS for each patient on a global basis, individual scalp regions, and channels and separately in responders and non-responders. A correlation analysis was performed between global changes in PLI and aperiodic parameters and clinical response.
Results UNASSIGNED
PLI (global and regional) decreased after VNS for gamma and delta bands and increased for an alpha band in responders, but it was not modified in non-responders. Aperiodic parameters after VNS showed an opposite trend in responders vs. non-responders: both were reduced in responders after VNS, but they were increased in non-responders. Changes in aperiodic parameters correlated with the clinical response.
Conclusion UNASSIGNED
This study explored the action of VNS therapy from a new perspective and identified EEG aperiodic parameters as a new and promising method to analyze the efficacy of neuromodulation.

Identifiants

pubmed: 36504670
doi: 10.3389/fneur.2022.1030118
pmc: PMC9728998
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1030118

Informations de copyright

Copyright © 2022 Coa, La Cava, Baldazzi, Polizzi, Pinna, Conti, Defazio, Pani and Puligheddu.

Déclaration de conflit d'intérêts

Unrelated to this study, in the past 3 years, Author RC received support for congress attendance from a distributor of VNS therapy and Author MP had a consulting contract with Livanova, USA. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Roberta Coa (R)

Neuroscience Ph.D. Program, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy.

Simone Maurizio La Cava (SM)

Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy.

Giulia Baldazzi (G)

Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy.
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy.

Lorenzo Polizzi (L)

Regional Center for the Diagnosis and Treatment of Adult Epilepsy, Neurology Unit, AOU Cagliari, Cagliari, Italy.

Giovanni Pinna (G)

SC Neurosurgery, Neuroscience and Rehabilitation Department, San Michele Hospital, ARNAS G. Brotzu, Cagliari, Italy.

Carlo Conti (C)

SC Neurosurgery, Neuroscience and Rehabilitation Department, San Michele Hospital, ARNAS G. Brotzu, Cagliari, Italy.

Giovanni Defazio (G)

Regional Center for the Diagnosis and Treatment of Adult Epilepsy, Neurology Unit, AOU Cagliari, Cagliari, Italy.
Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.

Danilo Pani (D)

Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy.

Monica Puligheddu (M)

Regional Center for the Diagnosis and Treatment of Adult Epilepsy, Neurology Unit, AOU Cagliari, Cagliari, Italy.
Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.

Classifications MeSH