Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis

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cris.lastimport.scopus2025-04-16T03:10:31Z
dc.abstract.enIntroduction: Multiple sclerosis (MS) is an intricate neurological condition that affects many individuals worldwide, and there is a considerable amount of research into understanding the pathology and treatment development. Nonlinear analysis has been increasingly utilized in analyzing electroencephalography (EEG) signals from patients with various neurological disorders, including MS, and it has been proven to be an effective tool for comprehending the complex nature exhibited by the brain. Methods: This study seeks to investigate the impact of Interferon-β (IFN-β) and dimethyl fumarate (DMF) on MS patients using sample entropy (SampEn) and Higuchi’s fractal dimension (HFD) on collected EEG signals. The data were collected at Jagiellonian University in Krakow, Poland. In this study, a total of 175 subjects were included across the groups: IFN-β (n = 39), DMF (n = 53), and healthy controls (n = 83). Results: The analysis indicated that each treatment group exhibited more complex EEG signals than the control group. SampEn had demonstrated significant sensitivity to the effects of each treatment compared to HFD, while HFD showed more sensitivity to changes over time, particularly in the DMF group. Discussion: These findings enhance our understanding of the complex nature of MS, support treatment development, and demonstrate the effectiveness of nonlinear analysis methods.
dc.affiliationWydział Psychologii Katowice
dc.affiliationWydział Psychologii w Katowicach
dc.contributor.authorHernandez, Christopher Ivan
dc.contributor.authorAfek, Natalia
dc.contributor.authorGawłowska, Magda
dc.contributor.authorOświęcimka, Paweł
dc.contributor.authorFafrowicz, Magdalena
dc.contributor.authorSlowik, Agnieszka
dc.contributor.authorWnuk, Marcin
dc.contributor.authorMarona, Monika
dc.contributor.authorNowak, Klaudia
dc.contributor.authorZur-Wyrozumska, Kamila
dc.contributor.authorAmon, Mary Jean
dc.contributor.authorHancock, P. A.
dc.contributor.authorMarek, Tadeusz
dc.contributor.authorKarwowski, Waldemar
dc.date.access2025-02-28
dc.date.accessioned2025-03-24T10:32:24Z
dc.date.available2025-03-24T10:32:24Z
dc.date.created2025-02-13
dc.date.issued2025-02-28
dc.description.abstract<jats:sec><jats:title>Introduction</jats:title><jats:p>Multiple sclerosis (MS) is an intricate neurological condition that affects many individuals worldwide, and there is a considerable amount of research into understanding the pathology and treatment development. Nonlinear analysis has been increasingly utilized in analyzing electroencephalography (EEG) signals from patients with various neurological disorders, including MS, and it has been proven to be an effective tool for comprehending the complex nature exhibited by the brain.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>This study seeks to investigate the impact of Interferon-β (IFN-β) and dimethyl fumarate (DMF) on MS patients using sample entropy (SampEn) and Higuchi’s fractal dimension (HFD) on collected EEG signals. The data were collected at Jagiellonian University in Krakow, Poland. In this study, a total of 175 subjects were included across the groups: IFN-β (<jats:italic>n</jats:italic> = 39), DMF (<jats:italic>n</jats:italic> = 53), and healthy controls (<jats:italic>n</jats:italic> = 83).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The analysis indicated that each treatment group exhibited more complex EEG signals than the control group. SampEn had demonstrated significant sensitivity to the effects of each treatment compared to HFD, while HFD showed more sensitivity to changes over time, particularly in the DMF group.</jats:p></jats:sec><jats:sec><jats:title>Discussion</jats:title><jats:p>These findings enhance our understanding of the complex nature of MS, support treatment development, and demonstrate the effectiveness of nonlinear analysis methods.</jats:p></jats:sec>
dc.description.accesstimeat_publication
dc.description.physical1-14
dc.description.versionfinal_published
dc.description.volume19
dc.identifier.doi10.3389/fninf.2025.1519391
dc.identifier.issn1662-5196
dc.identifier.urihttps://share.swps.edu.pl/handle/swps/1366
dc.identifier.weblinkhttps://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2025.1519391/full
dc.languageen
dc.pbn.affiliationpsychologia
dc.rightsCC-BY
dc.rights.questionYes_rights
dc.share.articleOPEN_JOURNAL
dc.subject.enelectroencephalogram
dc.subject.encomplexity
dc.subject.ennonlinear dynamics
dc.subject.ensample entropy
dc.subject.enHiguchi’s fractal dimension
dc.subject.enmultiple sclerosis
dc.swps.sciencecloudsend
dc.titleImpact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis
dc.title.journalFrontiers in Neuroinformatics
dc.typeJournalArticle
dspace.entity.typeArticle