Investigating the Intervention Parameters of Endogenous Paired Associative Stimulation (ePAS).

factorial design linear mixed regression movement-related cortical potential neural plasticity neuromodulation paired associative stimulation rehabilitation (MeSH) stroke (MeSH)

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
12 Feb 2021
Historique:
received: 20 12 2020
revised: 20 01 2021
accepted: 04 02 2021
entrez: 6 3 2021
pubmed: 7 3 2021
medline: 7 3 2021
Statut: epublish

Résumé

Advances in our understanding of neural plasticity have prompted the emergence of neuromodulatory interventions, which modulate corticomotor excitability (CME) and hold potential for accelerating stroke recovery. Endogenous paired associative stimulation (ePAS) involves the repeated pairing of a single pulse of peripheral electrical stimulation (PES) with endogenous movement-related cortical potentials (MRCPs), which are derived from electroencephalography. However, little is known about the optimal parameters for its delivery. A factorial design with repeated measures delivered four different versions of ePAS, in which PES intensities and movement type were manipulated. Linear mixed models were employed to assess interaction effects between PES intensity (suprathreshold (Hi) and motor threshold (Lo)) and movement type (Voluntary and Imagined) on CME. ePAS interventions significantly increased CME compared to control interventions, except in the case of Lo-Voluntary ePAS. There was an overall main effect for the Hi-Voluntary ePAS intervention immediately post-intervention (

Identifiants

pubmed: 33673171
pii: brainsci11020224
doi: 10.3390/brainsci11020224
pmc: PMC7918620
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Gemma Alder (G)

Health and Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand.

Nada Signal (N)

Health and Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand.

Alain C Vandal (AC)

Department of Statistics, University of Auckland, Auckland 1142, New Zealand.
Ko Awatea, Counties Manukau Health, Auckland 2025, New Zealand.

Sharon Olsen (S)

Health and Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand.

Mads Jochumsen (M)

Department of Health Science and Technology, Aalborg University, 9000 Aalborg, Denmark.

Imran Khan Niazi (IK)

Health and Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand.
Department of Health Science and Technology, Aalborg University, 9000 Aalborg, Denmark.
Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland 1060, New Zealand.

Denise Taylor (D)

Health and Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand.

Classifications MeSH