Publication:
Altered individual behavioral and EEG parameters are related to the EDSS score in relapsing-remitting multiple sclerosis patients.

dc.contributor.authorVázquez-Marrufo, Manuel
dc.contributor.authorGalvao-Carmona, Alejandro
dc.contributor.authorCaballero-Díaz, Rocio
dc.contributor.authorBorges, Monica
dc.contributor.authorParamo, Maria Dolores
dc.contributor.authorBenítez-Lugo, Maria Luisa
dc.contributor.authorRuiz-Peña, Juan Luis
dc.contributor.authorIzquierdo, Guillermo
dc.date.accessioned2023-01-25T13:36:41Z
dc.date.available2023-01-25T13:36:41Z
dc.date.issued2019-07-15
dc.description.abstractFunctional neuroanatomy of cognitive impairment in multiple sclerosis is currently still a challenge. During the progression of the disease, several cognitive mechanisms deteriorate thus diminishing the patient's quality of life. A primary objective in the cognitive assessment of multiple sclerosis (MS) patients is to find reliable measures utilizing diverse neuroimaging techniques. Moreover, especially relevant in the clinical environment is finding technical approaches that could be applied to individual participants and not only for group analysis. A 64-channel electroencephalographic recording (EEG) was made with thirty participants divided into three groups of equivalent size (N = 10) (healthy control, low-EDSS (1-2.5) and moderate-EDSS (4-6)). Correlation analysis was applied to multiple measures: behavior, neuropsychological tests (Paced Auditory Serial Addition Test, 3 seconds (PASAT-3s) and the Symbol Digit Modality Test (SDMT)), Expanded Disability Status Scale (EDSS), even-related potential (P3) and event-related desynchronization (ERD) parameters and the correlation scores between individual participant's P3/ERD maps and the healthy grand average P3/ERDmaps. Statistical analysis showed that diverse parameters exhibited significant correlations. A remarkable correlation was the moderate score found between SDMT and EDSS (r = -0.679, p = 0.0009). However, the strongest correlation was between the value of integrated measures (reaction time, P3 and ERD latency) and EDSS (r = 0.699, p = 0.0006). In regard to correlations for grand average maps between groups, the P3 component exhibited a lower score according to a more deteriorated condition (higher EDSS). In contrast, ERD maps remained stable with an increase of EDSS. Lastly, a Z-transformation of individual values of all variables included in the study exhibited heterogeneity in cognitive alterations in the multiple sclerosis participants.
dc.identifier.doi10.1371/journal.pone.0219594
dc.identifier.essn1932-6203
dc.identifier.pmcPMC6629079
dc.identifier.pmid31306457
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6629079/pdf
dc.identifier.unpaywallURLhttps://doi.org/10.1371/journal.pone.0219594
dc.identifier.urihttp://hdl.handle.net/10668/14241
dc.issue.number7
dc.journal.titlePloS one
dc.journal.titleabbreviationPLoS One
dc.language.isoen
dc.organizationHospital Universitario Virgen Macarena
dc.page.numbere0219594
dc.pubmedtypeJournal Article
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.meshAdult
dc.subject.meshBehavior
dc.subject.meshCognition
dc.subject.meshCognition Disorders
dc.subject.meshCognitive Dysfunction
dc.subject.meshDisability Evaluation
dc.subject.meshDisease Progression
dc.subject.meshElectroencephalography
dc.subject.meshFemale
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshModels, Statistical
dc.subject.meshMultiple Sclerosis, Relapsing-Remitting
dc.subject.meshNeuropsychological Tests
dc.subject.meshReaction Time
dc.subject.meshSocial Class
dc.titleAltered individual behavioral and EEG parameters are related to the EDSS score in relapsing-remitting multiple sclerosis patients.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number14
dspace.entity.typePublication

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