EEG-based functional connectivity and executive control in patients with Parkinson's disease and freezing of gait.

Attention Network Test (ANT) Executive control Functional connectivity Parkinson’s disease (PD) electroencephalography (EEG) freezing of gait (FoG)

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:
05 2022
Historique:
received: 23 08 2021
revised: 08 12 2021
accepted: 11 01 2022
pubmed: 21 2 2022
medline: 20 4 2022
entrez: 20 2 2022
Statut: ppublish

Résumé

To explore changes over time in the network specificities underpinning a visual attentional task in patients with Parkinson's disease and freezing of gait (the PD + FoG group), patients with Parkinson's disease but no FoG (PD-FoG), and healthy controls (HCs). High-resolution electroencephalography (EEG) data were acquired for 15 PD + FoG patients, 14 PD-FoG patients, and 18 HCs performing the Attention Network Test. After source localization, functional connectivity was assessed and compared by applying the dynamic phase-locking value method. The PD + FoG patients showed an impairment in executive control. Furthermore, the PD + FoG patients showed abnormally high theta band connectivity (relative to HCs, and 400 to 600 ms after target presentation) in a network connecting the orbitofrontal and occipitotemporal regions. In PD + FoG, the greater functional connectivity between the visual network and the regions to which executive function has been attributed might indicate greater reliance on environmental features when seeking to overcome the impairment in executive control. FoG in PD involves cognitive, attentional and executive dysfunctions. Our observation of abnormally high connectivity in PD + FoG patients argues in favor of the interference model of FoG.

Identifiants

pubmed: 35183432
pii: S1388-2457(22)00146-8
doi: 10.1016/j.clinph.2022.01.128
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

207-215

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2022 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: [None of the authors has conflicts of interest directly related to the present study. M. Gerard received a grant from Lille University for a research year. M. Bayot received a Marie Sklodowska-Curie fellowship (reference: 721577) as part of the European Union’s Horizon 2020 research and innovation program. L. Defebvre has received consultancy fees from Abbvie and Orkyn and has received speaker’s fees from UCB and Abbvie. N. Betrouni is a staff researcher at the Institut National de la Santé et de la Recherche Médicale. He has received a grant from PROCOPE Campus France and has received consultancy fees from LLL France.].

Auteurs

Morgane Gérard (M)

Univ. Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Department of Clinical Neurophysiology, F-59000 Lille, France.

Madli Bayot (M)

Univ. Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Department of Clinical Neurophysiology, F-59000 Lille, France.

Philippe Derambure (P)

Univ. Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Department of Clinical Neurophysiology, F-59000 Lille, France.

Kathy Dujardin (K)

Univ. Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Department of Neurology and Movement Disorders, F-59000 Lille, France.

Luc Defebvre (L)

Univ. Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Department of Neurology and Movement Disorders, F-59000 Lille, France.

Nacim Betrouni (N)

Univ. Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Department of Clinical Neurophysiology, F-59000 Lille, France.

Arnaud Delval (A)

Univ. Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Department of Clinical Neurophysiology, F-59000 Lille, France. Electronic address: arnaud.delval@chru-lille.fr.

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Classifications MeSH