Pallidal and Cortical Oscillations in Freely Moving Patients With Dystonia.

Cortical oscillations dystonia electroencephalography globus pallidus local field potentials

Journal

Neuromodulation : journal of the International Neuromodulation Society
ISSN: 1525-1403
Titre abrégé: Neuromodulation
Pays: United States
ID NLM: 9804159

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 07 02 2021
revised: 15 06 2021
accepted: 21 06 2021
pubmed: 31 7 2021
medline: 31 7 2021
entrez: 30 7 2021
Statut: ppublish

Résumé

To evaluate the correlation between the pallidal local field potentials (LFPs) activity and the cortical oscillations (at rest and during several motor tasks) in two freely moving patients with generalized dystonia and pallidal deep brain stimulation (DBS). Two women with isolated generalized dystonia were selected for bilateral globus pallidus internus (GPi) DBS. After the electrodes' implantation, cortical activity was recorded by a portable electroencephalography (EEG) system simultaneously with GPi LFPs activity, during several motor tasks, gait, and rest condition. Recordings were not performed during stimulation. EEG and LFPs signals relative to each specific movement were coupled together and grouped in neck/upper limbs movements and gait. Power spectral density (PSD), EEG-LFP coherence (through envelope of imaginary coherence operator), and 1/f exponent of LFP-PSD background were calculated. In both patients, the pallidal LFPs PSD at rest was characterized by prominent 4-12 Hz activity. Voluntary movements increased activity in the theta (θ) band (4-7 Hz) compared to rest, in both LFPs and EEG signals. Gait induced a drastic raise of θ activity in both patients' pallidal activity, less marked for the EEG signal. A coherence peak within the 8-13 Hz range was found between pallidal LFPs and EEG recorded at rest. Neck/upper limbs voluntary movements and gait suppressed the GPi-LFPs-cortical-EEG coherence and differently impacted both EEG and LFPs low frequency activity. These findings suggest a selective modulation of the cortico-basal ganglia network activity in dystonia.

Identifiants

pubmed: 34328685
doi: 10.1111/ner.13503
pii: S1094-7159(22)00016-2
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1661-1667

Informations de copyright

Copyright © 2022. Published by Elsevier Inc.

Auteurs

Alberto Averna (A)

"Aldo Ravelli" Center for Nanotechnology and Neurostimulation, University of Milan, Milan, Italy.

Mattia Arlotti (M)

Clinical Center for Neurotechnologies, Neuromodulation, and Movement Disorders, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy.

Manuela Rosa (M)

Clinical Center for Neurotechnologies, Neuromodulation, and Movement Disorders, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy.

Stéphan Chabardès (S)

Université Grenoble Alpes, INSERM, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France; Division of Neurosurgery, Grenoble Alpes University Hospital Center, Grenoble, France.

Eric Seigneuret (E)

Université Grenoble Alpes, INSERM, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France; Division of Neurosurgery, Grenoble Alpes University Hospital Center, Grenoble, France.

Alberto Priori (A)

"Aldo Ravelli" Center for Nanotechnology and Neurostimulation, University of Milan, Milan, Italy; Neurology, Department of Health Sciences, San Paolo University Hospital, Azienda Socio Sanitaria Territoriale Santi Paolo e Carlo, University of Milan Medical School, Milan, Italy.

Elena Moro (E)

Université Grenoble Alpes, INSERM, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France; Movement Disorders Unit, Division of Neurology, CHU Grenoble Alpes, Grenoble, France.

Sara Meoni (S)

"Aldo Ravelli" Center for Nanotechnology and Neurostimulation, University of Milan, Milan, Italy; Université Grenoble Alpes, INSERM, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France; Movement Disorders Unit, Division of Neurology, CHU Grenoble Alpes, Grenoble, France. Electronic address: smeoni@chu-grenoble.fr.

Classifications MeSH