000123952 001__ 123952
000123952 005__ 20241125101126.0
000123952 0247_ $$2doi$$a10.1177/15500594221120136
000123952 0248_ $$2sideral$$a130176
000123952 037__ $$aART-2023-130176
000123952 041__ $$aeng
000123952 100__ $$aAsadi, Borhan
000123952 245__ $$aThe Effect of dry Needling in Chronic Stroke with a complex Network Approach: A Case Study
000123952 260__ $$c2023
000123952 5060_ $$aAccess copy available to the general public$$fUnrestricted
000123952 5203_ $$aBackground: 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.
000123952 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000123952 590__ $$a1.6$$b2023
000123952 592__ $$a0.655$$b2023
000123952 591__ $$aCLINICAL NEUROLOGY$$b204 / 280 = 0.729$$c2023$$dQ3$$eT3
000123952 593__ $$aMedicine (miscellaneous)$$c2023$$dQ2
000123952 591__ $$aPSYCHIATRY$$b186 / 279 = 0.667$$c2023$$dQ3$$eT3
000123952 593__ $$aNeurology (clinical)$$c2023$$dQ2
000123952 591__ $$aPSYCHOLOGY$$b59 / 92 = 0.641$$c2023$$dQ3$$eT2
000123952 593__ $$aNeurology$$c2023$$dQ3
000123952 591__ $$aNEUROIMAGING$$b12 / 15 = 0.8$$c2023$$dQ4$$eT3
000123952 591__ $$aNEUROSCIENCES$$b261 / 310 = 0.842$$c2023$$dQ4$$eT3
000123952 594__ $$a5.2$$b2023
000123952 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000123952 700__ $$aFard, Kheirollah Rahsepar
000123952 700__ $$aAnsari, Noureddin Nakhostin
000123952 700__ $$0(orcid)0000-0002-7396-7840$$aMarco, Alvaro$$uUniversidad de Zaragoza
000123952 700__ $$0(orcid)0000-0002-1674-7788$$aCalvo, Sandra$$uUniversidad de Zaragoza
000123952 700__ $$0(orcid)0000-0002-9201-0120$$aHerrero, Pablo$$uUniversidad de Zaragoza
000123952 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000123952 7102_ $$11006$$2413$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Fisioterapia
000123952 773__ $$g54, 2 (2023), 179-188$$pClin. EEG Neurosci.$$tCLINICAL EEG AND NEUROSCIENCE$$x1550-0594
000123952 8564_ $$s965407$$uhttps://zaguan.unizar.es/record/123952/files/texto_completo.pdf$$yPostprint
000123952 8564_ $$s1398786$$uhttps://zaguan.unizar.es/record/123952/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000123952 909CO $$ooai:zaguan.unizar.es:123952$$particulos$$pdriver
000123952 951__ $$a2024-11-22-11:57:41
000123952 980__ $$aARTICLE