EEG Biomarkers Related With the Functional State of Stroke Patients

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...

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Autores: Sebastián-Romagosa, Marc, Udina i Bonet, Esther|||0000-0003-1954-8562, Ortner, Rupert, Dinarès-Ferran, Josep, Cho, Woosang, Murovec, Nensi, Matencio-Peralba, Clara, Sieghartsleitner, Sebastian, Allison, Brendan Z., Guger, Christoph
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:252807
Acceso en línea:https://ddd.uab.cat/record/252807
https://dx.doi.org/urn:doi:10.3389/fnins.2020.00582
Access Level:acceso abierto
Palabra clave:Brain-computer interface
Motor imagery
EEG
Rehabilitation
Brain Symmetry Index
Laterality coefficient
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spelling EEG Biomarkers Related With the Functional State of Stroke PatientsSebastián-Romagosa, MarcUdina i Bonet, Esther|||0000-0003-1954-8562Ortner, RupertDinarès-Ferran, JosepCho, WoosangMurovec, NensiMatencio-Peralba, ClaraSieghartsleitner, SebastianAllison, Brendan Z.Guger, ChristophBrain-computer interfaceMotor imageryEEGRehabilitationBrain Symmetry IndexLaterality coefficientRecent 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. 22020-01-0120202020-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/252807https://dx.doi.org/urn:doi:10.3389/fnins.2020.00582reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest 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.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2528072026-06-06T12:50:31Z
dc.title.none.fl_str_mv EEG Biomarkers Related With the Functional State of Stroke Patients
title EEG Biomarkers Related With the Functional State of Stroke Patients
spellingShingle EEG Biomarkers Related With the Functional State of Stroke Patients
Sebastián-Romagosa, Marc
Brain-computer interface
Motor imagery
EEG
Rehabilitation
Brain Symmetry Index
Laterality coefficient
title_short EEG Biomarkers Related With the Functional State of Stroke Patients
title_full EEG Biomarkers Related With the Functional State of Stroke Patients
title_fullStr EEG Biomarkers Related With the Functional State of Stroke Patients
title_full_unstemmed EEG Biomarkers Related With the Functional State of Stroke Patients
title_sort EEG Biomarkers Related With the Functional State of Stroke Patients
dc.creator.none.fl_str_mv Sebastián-Romagosa, Marc
Udina i Bonet, Esther|||0000-0003-1954-8562
Ortner, Rupert
Dinarès-Ferran, Josep
Cho, Woosang
Murovec, Nensi
Matencio-Peralba, Clara
Sieghartsleitner, Sebastian
Allison, Brendan Z.
Guger, Christoph
author Sebastián-Romagosa, Marc
author_facet Sebastián-Romagosa, Marc
Udina i Bonet, Esther|||0000-0003-1954-8562
Ortner, Rupert
Dinarès-Ferran, Josep
Cho, Woosang
Murovec, Nensi
Matencio-Peralba, Clara
Sieghartsleitner, Sebastian
Allison, Brendan Z.
Guger, Christoph
author_role author
author2 Udina i Bonet, Esther|||0000-0003-1954-8562
Ortner, Rupert
Dinarès-Ferran, Josep
Cho, Woosang
Murovec, Nensi
Matencio-Peralba, Clara
Sieghartsleitner, Sebastian
Allison, Brendan Z.
Guger, Christoph
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Brain-computer interface
Motor imagery
EEG
Rehabilitation
Brain Symmetry Index
Laterality coefficient
topic Brain-computer interface
Motor imagery
EEG
Rehabilitation
Brain Symmetry Index
Laterality coefficient
description 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.
publishDate 2020
dc.date.none.fl_str_mv 2
2020-01-01
2020
2020-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/252807
https://dx.doi.org/urn:doi:10.3389/fnins.2020.00582
url https://ddd.uab.cat/record/252807
https://dx.doi.org/urn:doi:10.3389/fnins.2020.00582
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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