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The Effect of Dry Needling in Chronic Stroke With a Complex Network Approach: A Case Study Publisher Pubmed



Asadi B1 ; Fard KR1 ; Ansari NN2, 3 ; Marco A4 ; Calvo S5 ; Herrero P5
Authors
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Authors Affiliations
  1. 1. Department of Computer Engineering and Information Technology, University of Qom, Qom, Iran
  2. 2. Department of Physiotherapy, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Research Center for War-affected People, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Electronic Engineering and Communications, Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain
  5. 5. Department of Physiatry and Nursing, Faculty of Health Sciences, IIS Aragon, University of Zaragoza, Zaragoza, Spain

Source: Clinical EEG and Neuroscience Published:2023


Abstract

Background: Dry Needling (DN) has been demonstrated to be effective in improving sensorimotor function and spasticity in patients with chronic stroke. Electroencephalogram (EEG) has been used to analyze if DN has effects on the central nervous system of patients with stroke. There are no studies on how DN works in patients with chronic stroke based on EEG analysis using complex networks. Objective: The aim of this study was to assess how DN works when it is applied in a patient with stroke, using the graph theory. Methods: One session of DN was applied to the spastic brachialis muscle of a 62-year-old man with right hemiplegia after stroke. EEG was used to analyze the effects of DN following metrics that measure the topological configuration: 1) network density, 2) clustering coefficient, 3) average shortest path length, 4) betweenness centrality, and 5) small-worldness. Measurements were taken before and during DN. Results: An improvement of the brain activity was observed in this patient with stroke after the application of DN, which led to variations of local parameters of the brain network in the delta, theta and alpha bands, and inclined towards those of the healthy control bands. Conclusions: This case study showed the positive effects of DN on brain network of a patient with chronic stroke. © EEG and Clinical Neuroscience Society (ECNS) 2022.
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