125284 20241125101150.0 doi 10.3390/healthcare11050666 sideral 132979 ART-2023-132979 eng Asadi, Borhan Brain analysis with a complex network approach in stroke patients based on electroencephalography: a systematic review and meta-analysis 2023 Access copy available to the general public Unrestricted Background 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. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.4 2023 HEALTH POLICY & SERVICES 49 / 118 = 0.415 2023 Q2 T2 HEALTH CARE SCIENCES & SERVICES 73 / 174 = 0.42 2023 Q2 T2 0.606 2023 Health Policy 2023 Q2 Leadership and Management 2023 Q2 Health Informatics 2023 Q3 Health Information Management 2023 Q3 3.5 2023 info:eu-repo/semantics/review info:eu-repo/semantics/publishedVersion Cuenca-Zaldivar, Juan Nicolás Nakhostin Ansari, Noureddin Ibáñez, Jaime Universidad de Zaragoza (orcid)0000-0001-8439-151X Herrero, Pablo Universidad de Zaragoza (orcid)0000-0002-9201-0120 Calvo, Sandra Universidad de Zaragoza (orcid)0000-0002-1674-7788 1006 413 Universidad de Zaragoza Dpto. Fisiatría y Enfermería Área Fisioterapia 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 11, 5 (2023), 666 [19 pp.] Healthcare (Basel) Healthcare (Switzerland) 2227-9032 2632757 http://zaguan.unizar.es/record/125284/files/texto_completo.pdf Versión publicada 2649097 http://zaguan.unizar.es/record/125284/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:125284 articulos driver 2024-11-22-12:06:21 ARTICLE