Reduced alpha2 power is associated with slowed information processing speed in multiple sclerosis
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| Názov: | Reduced alpha2 power is associated with slowed information processing speed in multiple sclerosis |
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| Autori: | Alexander De Cock, Alexander Van Ranst, Lars Costers, Eva Keytsman, Marie B. D'Hooghe, Miguel D'Haeseleer, Guy Nagels, Jeroen Van Schependom |
| Prispievatelia: | Clinical sciences, Neurology, Artificial Intelligence supported Modelling in clinical Sciences, Faculty of Medicine and Pharmacy, FORMER_Neuroprotection & Neuromodulation, FORMER_Laboratorium for Micro- and Photonelectronics, Electronics and Informatics, Electronics and Informatics: Research - Development - Innovation, Neuroprotection & Neuromodulation |
| Zdroj: | European Journal of Neurology. 30:2793-2800 |
| Informácie o vydavateľovi: | Wiley, 2023. |
| Rok vydania: | 2023 |
| Predmety: | Multiple Sclerosis, Cognition Disorders/psychology, Magnetoencephalography, Brain, Neuropsychological Tests, Multiple Sclerosis/complications, Magnetic Resonance Imaging, Magnetoencephalography/methods, Cognition, magnetic resonance imaging, Humans, Brain/pathology, Processing speed, Cognition Disorders, Cognition/physiology, Processing Speed |
| Popis: | ObjectiveCognitive impairment is common in multiple sclerosis (MS), significantly impacts daily functioning, is time‐consuming to assess, and is prone to practice effects. We examined whether the alpha band power measured with magnetoencephalography (MEG) is associated with the different cognitive domains affected by MS.MethodsSixty‐eight MS patients and 47 healthy controls underwent MEG, T1‐ and FLAIR‐weighted magnetic resonance imaging (MRI), and neuropsychological testing. Alpha power in the occipital cortex was quantified in the alpha1 (8–10 Hz) and alpha2 (10–12 Hz) bands. Next, we performed best subset regression to assess the added value of neurophysiological measures to commonly available MRI measures.ResultsAlpha2 power significantly correlated with information processing speed (p p ConclusionsAlpha2 (10–12 Hz) power in rest is associated with IPS, independent of standard MRI parameters. This study stresses that a multimodal assessment, including structural and functional biomarkers, is likely required to characterize cognitive impairment in MS. Resting‐state neurophysiology is thus a promising tool to understand and follow up changes in IPS. |
| Druh dokumentu: | Article |
| Jazyk: | English |
| ISSN: | 1468-1331 1351-5101 |
| DOI: | 10.1111/ene.15927 |
| Prístupová URL adresa: | https://pubmed.ncbi.nlm.nih.gov/37326133 https://biblio.vub.ac.be/vubir/reduced-alpha2-power-is-associated-with-slowed-information-processing-speed-in-multiple-sclerosis(c9569115-672e-4c49-ab02-62b59c608a3e).html |
| Rights: | Wiley Online Library User Agreement |
| Prístupové číslo: | edsair.doi.dedup.....d267d082a2212f68c1200ca577111cc7 |
| Databáza: | OpenAIRE |
| Abstrakt: | ObjectiveCognitive impairment is common in multiple sclerosis (MS), significantly impacts daily functioning, is time‐consuming to assess, and is prone to practice effects. We examined whether the alpha band power measured with magnetoencephalography (MEG) is associated with the different cognitive domains affected by MS.MethodsSixty‐eight MS patients and 47 healthy controls underwent MEG, T1‐ and FLAIR‐weighted magnetic resonance imaging (MRI), and neuropsychological testing. Alpha power in the occipital cortex was quantified in the alpha1 (8–10 Hz) and alpha2 (10–12 Hz) bands. Next, we performed best subset regression to assess the added value of neurophysiological measures to commonly available MRI measures.ResultsAlpha2 power significantly correlated with information processing speed (p p ConclusionsAlpha2 (10–12 Hz) power in rest is associated with IPS, independent of standard MRI parameters. This study stresses that a multimodal assessment, including structural and functional biomarkers, is likely required to characterize cognitive impairment in MS. Resting‐state neurophysiology is thus a promising tool to understand and follow up changes in IPS. |
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| ISSN: | 14681331 13515101 |
| DOI: | 10.1111/ene.15927 |
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