Bibliographic Details
| Title: |
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis |
| Authors: |
Christopher Ivan Hernandez, Natalia Afek, Magda Gawłowska, Paweł Oświęcimka, Magdalena Fafrowicz, Agnieszka Slowik, Marcin Wnuk, Monika Marona, Klaudia Nowak, Kamila Zur-Wyrozumska, Mary Jean Amon, P. A. Hancock, Tadeusz Marek, Waldemar Karwowski |
| Source: |
Frontiers in Neuroinformatics, Vol 19 (2025) |
| Publisher Information: |
Frontiers Media S.A., 2025. |
| Publication Year: |
2025 |
| Collection: |
LCC:Neurosciences. Biological psychiatry. Neuropsychiatry |
| Subject Terms: |
electroencephalogram, complexity, nonlinear dynamics, sample entropy, Higuchi’s fractal dimension, multiple sclerosis, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571 |
| More Details: |
IntroductionMultiple 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.MethodsThis 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).ResultsThe 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.DiscussionThese findings enhance our understanding of the complex nature of MS, support treatment development, and demonstrate the effectiveness of nonlinear analysis methods. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1662-5196 |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fninf.2025.1519391/full; https://doaj.org/toc/1662-5196 |
| DOI: |
10.3389/fninf.2025.1519391 |
| Access URL: |
https://doaj.org/article/74e7dffbbea74979a3d657d26abe6d28 |
| Accession Number: |
edsdoj.74e7dffbbea74979a3d657d26abe6d28 |
| Database: |
Directory of Open Access Journals |
