Event-related desynchronization during movement attempt and execution in severely paralyzed stroke patients: An artifact removal relevance analysis: An artifact removal relevance analysis

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dc.contributor.authorLópez-Larraz, Eduardo
dc.contributor.authorFigueiredo, Thiago C.
dc.contributor.authorInsausti-Delgado, Ainhoa
dc.contributor.authorZiemann, Ulf
dc.contributor.authorBirbaumer, Niels
dc.contributor.authorRamos-Murguialday, Ander
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionMedical Technologies
dc.date.issued2018
dc.descriptionPublisher Copyright: © 2018 The Authors
dc.description.abstractThe electroencephalogram (EEG) constitutes a relevant tool to study neural dynamics and to develop brain-machine interfaces (BMI) for rehabilitation of patients with paralysis due to stroke. However, the EEG is easily contaminated by artifacts of physiological origin, which can pollute the measured cortical activity and bias the interpretations of such data. This is especially relevant when recording EEG of stroke patients while they try to move their paretic limbs, since they generate more artifacts due to compensatory activity. In this paper, we study how physiological artifacts (i.e., eye movements, motion artifacts, muscle artifacts and compensatory movements with the other limb) can affect EEG activity of stroke patients. Data from 31 severely paralyzed stroke patients performing/attempting grasping movements with their healthy/paralyzed hand were analyzed offline. We estimated the cortical activation as the event-related desynchronization (ERD) of sensorimotor rhythms and used it to detect the movements with a pseudo-online simulated BMI. Automated state-of-the-art methods (linear regression to remove ocular contaminations and statistical thresholding to reject the other types of artifacts) were used to minimize the influence of artifacts. The effect of artifact reduction was quantified in terms of ERD and BMI performance. The results reveal a significant contamination affecting the EEG, being involuntary muscle activity the main source of artifacts. Artifact reduction helped extracting the oscillatory signatures of motor tasks, isolating relevant information from noise and revealing a more prominent ERD activity. Lower BMI performances were obtained when artifacts were eliminated from the training datasets. This suggests that artifacts produce an optimistic bias that improves theoretical accuracy but may result in a poor link between task-related oscillatory activity and BMI peripheral feedback. With a clinically relevant dataset of stroke patients, we evidence the need of appropriate methodologies to remove artifacts from EEG datasets to obtain accurate estimations of the motor brain activity.en
dc.description.statusPeer reviewed
dc.format.extent15
dc.format.extent3284584
dc.identifier.citationLópez-Larraz , E , Figueiredo , T C , Insausti-Delgado , A , Ziemann , U , Birbaumer , N & Ramos-Murguialday , A 2018 , ' Event-related desynchronization during movement attempt and execution in severely paralyzed stroke patients: An artifact removal relevance analysis : An artifact removal relevance analysis ' , NeuroImage: Clinical , vol. 20 , pp. 972-986 . https://doi.org/10.1016/j.nicl.2018.09.035
dc.identifier.doi10.1016/j.nicl.2018.09.035
dc.identifier.issn2213-1582
dc.identifier.otherresearchoutputwizard: 11556/631
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85054458606&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofNeuroImage: Clinical
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsElectroencephalogram (EEG)
dc.subject.keywordsArtifacts
dc.subject.keywordsMotor cortical activity
dc.subject.keywordsBrain-machine interfaces (BMI)
dc.subject.keywordsStroke
dc.subject.keywordsElectroencephalogram (EEG)
dc.subject.keywordsArtifacts
dc.subject.keywordsMotor cortical activity
dc.subject.keywordsBrain-machine interfaces (BMI)
dc.subject.keywordsStroke
dc.subject.keywordsRadiology, Nuclear Medicine and Imaging
dc.subject.keywordsNeurology
dc.subject.keywordsNeurology (clinical)
dc.subject.keywordsCognitive Neuroscience
dc.subject.keywordsSDG 3 - Good Health and Well-being
dc.subject.keywordsFunding Info
dc.subject.keywordsThis study was funded by the fortüne-Program of the_x000D_ University of Tübingen (2422-0-1 and 2452-0-0), the_x000D_ Bundesministerium für Bildung und Forschung BMBF MOTORBIC (FKZ_x000D_ 13GW0053) and AMORSA (FKZ 16SV7754), the Deutsche_x000D_ Forschungsgemeinschaft (DFG), the Basque Government Science_x000D_ Program (EXOTEK: KK 2016/00083). The work of A. Insausti-Delgado_x000D_ was supported by the Basque Government's scholarship for predoctoral_x000D_ students.
dc.subject.keywordsThis study was funded by the fortüne-Program of the_x000D_ University of Tübingen (2422-0-1 and 2452-0-0), the_x000D_ Bundesministerium für Bildung und Forschung BMBF MOTORBIC (FKZ_x000D_ 13GW0053) and AMORSA (FKZ 16SV7754), the Deutsche_x000D_ Forschungsgemeinschaft (DFG), the Basque Government Science_x000D_ Program (EXOTEK: KK 2016/00083). The work of A. Insausti-Delgado_x000D_ was supported by the Basque Government's scholarship for predoctoral_x000D_ students.
dc.titleEvent-related desynchronization during movement attempt and execution in severely paralyzed stroke patients: An artifact removal relevance analysis: An artifact removal relevance analysisen
dc.typejournal article
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