Modulations in high-density EEG during the suppression of phantom-limb pain with neurostimulation in upper limb amputees.

EEG neuromodulation neuropathic pain peripheral nerve stimulation phantom limb pain spinal cord stimulation

Journal

Cerebral cortex (New York, N.Y. : 1991)
ISSN: 1460-2199
Titre abrégé: Cereb Cortex
Pays: United States
ID NLM: 9110718

Informations de publication

Date de publication:
13 Jan 2024
Historique:
received: 25 09 2023
revised: 12 11 2023
accepted: 13 11 2023
medline: 15 1 2024
pubmed: 15 1 2024
entrez: 14 1 2024
Statut: aheadofprint

Résumé

Phantom limb pain (PLP) is a distressing and persistent sensation that occurs after the amputation of a limb. While medication-based treatments have limitations and adverse effects, neurostimulation is a promising alternative approach whose mechanism of action needs research, including electroencephalographic (EEG) recordings for the assessment of cortical manifestation of PLP relieving effects. Here we collected and analyzed high-density EEG data in 3 patients (P01, P02, and P03). Peripheral nerve stimulation suppressed PLP in P01 but was ineffective in P02. In contrast, transcutaneous electrical nerve stimulation was effective in P02. In P03, spinal cord stimulation was used to suppress PLP. Changes in EEG oscillatory components were analyzed using spectral analysis and Petrosian fractal dimension. With these methods, changes in EEG spatio-spectral components were found in the theta, alpha, and beta bands in all patients, with these effects being specific to each individual. The changes in the EEG patterns were found for both the periods when PLP level was stationary and the periods when PLP was gradually changing after neurostimulation was turned on or off. Overall, our findings align with the proposed roles of brain rhythms in thalamocortical dysrhythmia or disruption of cortical excitation and inhibition which has been linked to neuropathic pain. The individual differences in the observed effects could be related to the specifics of each patient's treatment and the unique spectral characteristics in each of them. These findings pave the way to the closed-loop systems for PLP management where neurostimulation parameters are adjusted based on EEG-derived markers.

Identifiants

pubmed: 38220575
pii: 7517666
doi: 10.1093/cercor/bhad504
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Russian Science Foundation
ID : 21-75-30024

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Daria Kleeva (D)

Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Bolshoy Boulevard, 30, p. 1, Moscow 121205, Russia.
MSU Institute for Artificial Intelligence, Lomonosov Moscow State University.

Gurgen Soghoyan (G)

Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Bolshoy Boulevard, 30, p. 1, Moscow 121205, Russia.

Artur Biktimirov (A)

Laboratory of Experimental and Translational Medicine, School of Biomedicine, Far Eastern Federal University.

Nikita Piliugin (N)

Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Bolshoy Boulevard, 30, p. 1, Moscow 121205, Russia.

Yury Matvienko (Y)

Research Center of Motorica LLC.

Mikhail Sintsov (M)

Research Center of Motorica LLC.

Mikhail Lebedev (M)

MSU Institute for Artificial Intelligence, Lomonosov Moscow State University.
Faculty of Mechanics and Mathematics, Lomonosov Moscow State University.
Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences.

Classifications MeSH