EEG Biomarkers Related With the Functional State of Stroke Patients
Sebastián-Romagosa, Marc (Universitat Autònoma de Barcelona. Departament de Medicina)
Udina, Esther (Universitat Autònoma de Barcelona. Departament de Biologia Cel·lular, de Fisiologia i d'Immunologia)
Ortner, Rupert (g.tec Medical Engineering Spain SL)
Dinarès-Ferran, Josep (Universitat de Vic - Universitat Central de Catalunya)
Cho, Woosang (g.tec Medical Engineering GmbH)
Murovec, Nensi (g.tec Medical Engineering GmbH)
Matencio-Peralba, Clara (g.tec Medical Engineering Spain SL)
Sieghartsleitner, Sebastian (g.tec Medical Engineering GmbH)
Allison, Brendan Z. (University of California at San Diego)
Guger, Christoph (g.tec Medical Engineering GmbH)

Data:	2020
Resum:	Recent studies explored promising new quantitative methods to analyze electroencephalography (EEG) signals. This paper analyzes the correlation of two EEG parameters, Brain Symmetry Index (BSI) and Laterality Coefficient (LC), with established functional scales for the stroke assessment. Thirty-two healthy subjects and thirty-six stroke patients with upper extremity hemiparesis were recruited for this study. The stroke patients where subdivided in three groups according to the stroke location: Cortical, Subcortical, and Cortical + Subcortical. The participants performed assessment visits to record the EEG in the resting state and perform functional tests using rehabilitation scales. Then, stroke patients performed 25 sessions using a motor-imagery based Brain Computer Interface system (BCI). BSI was calculated with the EEG data in resting state and LC was calculated with the Event-Related Synchronization maps. The results of this study demonstrated significant differences in the BSI between the healthy group and Subcortical group (P = 0. 001), and also between the healthy and Cortical+Subcortical group (P = 0. 019). No significant differences were found between the healthy group and the Cortical group (P = 0. 505). Furthermore, the BSI analysis in the healthy group based on gender showed statistical differences (P = 0. 027). In the stroke group, the correlation between the BSI and the functional state of the upper extremity assessed by Fugl-Meyer Assessment (FMA) was also significant, ρ = −0. 430 and P = 0. 046. The correlation between the BSI and the FMA-Lower extremity was not significant (ρ = −0. 063, P = 0. 852). Similarly, the LC calculated in the alpha band has significative correlation with FMA of upper extremity (ρ = −0. 623 and P < 0. 001) and FMA of lower extremity (ρ = −0. 509 and P = 0. 026). Other important significant correlations between LC and functional scales were observed. In addition, the patients showed an improvement in the FMA-upper extremity after the BCI therapy (ΔFMA = 1 median [IQR: 0-8], P = 0. 002). The quantitative EEG tools used here may help support our understanding of stroke and how the brain changes during rehabilitation therapy. These tools can help identify changes in EEG biomarkers and parameters during therapy that might lead to improved therapy methods and functional prognoses.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Brain-computer interface ; Motor imagery ; EEG ; Rehabilitation ; Brain Symmetry Index ; Laterality coefficient
Publicat a:	Frontiers in Neuroscience, Vol. 14 (july 2020) , ISSN 1662-453X

Article original: https://ddd.uab.cat/record/252807?ln=es
Erratum: https://ddd.uab.cat/record/283264?ln=es
DOI: 10.3389/fnins.2020.00582
PMID: 32733182

16 p, 2.2 MB

El registre apareix a les col·leccions:
Articles > Articles de recerca
Articles > Articles publicats