Brain analysis with a complex network approach in stroke patients based on electroencephalography: a systematic review and meta-analysis

Asadi, Borhan ; Cuenca-Zaldivar, Juan Nicolás ; Nakhostin Ansari, Noureddin ; Ibáñez, Jaime (Universidad de Zaragoza) ; Herrero, Pablo (Universidad de Zaragoza) ; Calvo, Sandra (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.3390/healthcare11050666

Año: 2023

Publicado en: Healthcare (Switzerland) 11, 5 (2023), 666 [19 pp.]
ISSN: 2227-9032

Factor impacto JCR: 2.4 (2023)

Categ. JCR: HEALTH POLICY & SERVICES rank: 49 / 118 = 0.415 (2023) - Q2 - T2
Categ. JCR: HEALTH CARE SCIENCES & SERVICES rank: 73 / 174 = 0.42 (2023) - Q2 - T2

Factor impacto CITESCORE: 3.5 - Leadership and Management (Q2) - Health Policy (Q2) - Health Informatics (Q3) - Health Information Management (Q3)

Factor impacto SCIMAGO: 0.606 - Health Policy (Q2) - Leadership and Management (Q2) - Health Informatics (Q3) - Health Information Management (Q3)

Tipo y forma: Revisión (Versión definitiva)

Área (Departamento): Área Fisioterapia (Dpto. Fisiatría y Enfermería)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)