000125284 001__ 125284
000125284 005__ 20241125101150.0
000125284 0247_ $$2doi$$a10.3390/healthcare11050666
000125284 0248_ $$2sideral$$a132979
000125284 037__ $$aART-2023-132979
000125284 041__ $$aeng
000125284 100__ $$aAsadi, Borhan
000125284 245__ $$aBrain analysis with a complex network approach in stroke patients based on electroencephalography: a systematic review and meta-analysis
000125284 260__ $$c2023
000125284 5060_ $$aAccess copy available to the general public$$fUnrestricted
000125284 5203_ $$aBackground and purpose: Brain function can be networked, and these networks typically present drastic changes after having suffered a stroke. The objective of this systematic review was to compare EEG-related outcomes in adults with stroke and healthy individuals with a complex network approach. Methods: The literature search was performed in the electronic databases PubMed, Cochrane and ScienceDirect from their inception until October 2021. Results: Ten studies were selected, nine of which were cohort studies. Five of them were of good quality, whereas four were of fair quality. Six studies showed a low risk of bias, whereas the other three studies presented a moderate risk of bias. In the network analysis, different parameters such as the path length, cluster coefficient, small-world index, cohesion and functional connection were used. The effect size was small and not significant in favor of the group of healthy subjects (Hedges’g = 0.189 [−0.714, 1.093], Z = 0.582, p = 0.592). Conclusions: The systematic review found that there are structural differences between the brain network of post-stroke patients and healthy individuals as well as similarities. However, there was no specific distribution network to allows us to differentiate them and, therefore, more specialized and integrated studies are needed.
000125284 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000125284 590__ $$a2.4$$b2023
000125284 592__ $$a0.606$$b2023
000125284 591__ $$aHEALTH POLICY & SERVICES$$b49 / 118 = 0.415$$c2023$$dQ2$$eT2
000125284 593__ $$aHealth Policy$$c2023$$dQ2
000125284 591__ $$aHEALTH CARE SCIENCES & SERVICES$$b73 / 174 = 0.42$$c2023$$dQ2$$eT2
000125284 593__ $$aLeadership and Management$$c2023$$dQ2
000125284 593__ $$aHealth Informatics$$c2023$$dQ3
000125284 593__ $$aHealth Information Management$$c2023$$dQ3
000125284 594__ $$a3.5$$b2023
000125284 655_4 $$ainfo:eu-repo/semantics/review$$vinfo:eu-repo/semantics/publishedVersion
000125284 700__ $$aCuenca-Zaldivar, Juan Nicolás
000125284 700__ $$aNakhostin Ansari, Noureddin
000125284 700__ $$0(orcid)0000-0001-8439-151X$$aIbáñez, Jaime$$uUniversidad de Zaragoza
000125284 700__ $$0(orcid)0000-0002-9201-0120$$aHerrero, Pablo$$uUniversidad de Zaragoza
000125284 700__ $$0(orcid)0000-0002-1674-7788$$aCalvo, Sandra$$uUniversidad de Zaragoza
000125284 7102_ $$11006$$2413$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Fisioterapia
000125284 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000125284 773__ $$g11, 5 (2023), 666 [19 pp.]$$pHealthcare (Basel)$$tHealthcare (Switzerland)$$x2227-9032
000125284 8564_ $$s2632757$$uhttps://zaguan.unizar.es/record/125284/files/texto_completo.pdf$$yVersión publicada
000125284 8564_ $$s2649097$$uhttps://zaguan.unizar.es/record/125284/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000125284 909CO $$ooai:zaguan.unizar.es:125284$$particulos$$pdriver
000125284 951__ $$a2024-11-22-12:06:21
000125284 980__ $$aARTICLE