OBJECTIVE: Cognitive 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.METHODS: Sixty-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.RESULTS: Alpha2 power significantly correlated with information processing speed (p < 0.001) and was always retained in all multilinear models, whereas thalamic volume was retained in 80% of all models. Alpha1 power was correlated with visual memory (p < 0.001) but only retained in 38% of all models.CONCLUSIONS: Alpha2 (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.
De Cock, A, Van Ranst, A, Costers, L, Keytsman, E, D'Hooghe, MB, D'Haeseleer, M, Nagels, G & Van Schependom, J 2023, 'Reduced alpha2 power is associated with slowed information processing speed in multiple sclerosis', European Journal of Neurology, vol. 30, no. 9, 15927, pp. 2793-2800. https://doi.org/10.1111/ene.15927
De Cock, A., Van Ranst, A., Costers, L., Keytsman, E., D'Hooghe, M. B., D'Haeseleer, M., Nagels, G., & Van Schependom, J. (2023). Reduced alpha2 power is associated with slowed information processing speed in multiple sclerosis. European Journal of Neurology, 30(9), 2793-2800. Article 15927. https://doi.org/10.1111/ene.15927
@article{c9569115672e4c49ab0262b59c608a3e,
title = "Reduced alpha2 power is associated with slowed information processing speed in multiple sclerosis",
abstract = "OBJECTIVE: Cognitive 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.METHODS: Sixty-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.RESULTS: Alpha2 power significantly correlated with information processing speed (p < 0.001) and was always retained in all multilinear models, whereas thalamic volume was retained in 80% of all models. Alpha1 power was correlated with visual memory (p < 0.001) but only retained in 38% of all models.CONCLUSIONS: Alpha2 (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.",
keywords = "Humans, Multiple Sclerosis/complications, Cognition Disorders/psychology, Processing Speed, Cognition/physiology, Magnetoencephalography/methods, Magnetic Resonance Imaging, Neuropsychological Tests, Brain/pathology",
author = "{De Cock}, Alexander and {Van Ranst}, Alexander and Lars Costers and Eva Keytsman and D'Hooghe, {Marie B} and Miguel D'Haeseleer and Guy Nagels and {Van Schependom}, Jeroen",
note = "{\textcopyright} 2023 European Academy of Neurology.",
year = "2023",
month = sep,
doi = "10.1111/ene.15927",
language = "English",
volume = "30",
pages = "2793--2800",
journal = "European Journal of Neurology",
issn = "1351-5101",
publisher = "Wiley",
number = "9",
}