Relation between EEG and disability scores in multiple sclerosis

doi:10.1016/0303-8467(81)90018-4

Clinical Neurology and Neurosurgery

Volume 83, Issue 3, 1981, Pages 163-168, IN3

https://doi.org/10.1016/0303-8467(81)90018-4 Get rights and content

Abstract

A disability-scoring and an EEG-spectral analysis was performed in patients suffering from clinically and biochemically (oligoclonal aspect in cerebro-spinal fluid) proven multiple sclerosis at two stages of their illness, that are before and after a short intensive immuno suppressive therapy.

In both stages a relationship is found between the degree of disability and the amount of beta activity in the fronto-central area and the amount of the theta activity in the temporal area. Significant improvement in the clinical state of the patient and a marked increase of the mean alpha frequency in the parieto-occipital region could be demonstrated after short intensive immunosuppressive therapy.

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Quantitative resting-state electroencephalography (rs-EEG) is a convenient method for characterizing the functional impairments and adaptations of the brain that has been shown to be valuable for assessing many neurological and psychiatric disorders, especially in monitoring disease status and assisting neuromodulation treatment. However, it has not yet been explored in patients with neuromyelitis optica spectrum disorder (NMOSD). This study aimed to investigate the rs-EEG features of NMOSD patients and explore the rs-EEG features related to disease characteristics and complications (such as anxiety, depression, and fatigue).
A total of 32 NMOSD patients and 20 healthy controls (HCs) were recruited; their demographic and disease information were collected, and their anxiety, depression, and fatigue symptoms were evaluated. The rs-EEG power spectra of all the participants were obtained. After excluding the participants with low-quality rs-EEG data during processing, statistical analysis was conducted based on the clinical information and rs-EEG data of 29 patients and 19 HCs. The rs-EEG power (the mean spectral energy (MSE) of absolute power and relative power in all frequency bands, as well as the specific power for all electrode sites) of NMOSD patients and HCs was compared. Furthermore, correlation analyses were performed between rs-EEG power and other variables for NMOSD patients (including the disease characteristics and complications).
The distribution of the rs-EEG power spectra in NMOSD patients was similar to that in HCs. The dominant alpha-peaks shifted significantly towards a lower frequency for patients when compared to HCs. The delta and theta power was significantly increased in the NMOSD group compared to that in the HC group. The alpha oscillation power was found to be significantly negatively associated with the degree of anxiety (reflected by the anxiety subscore of hospital anxiety and depression scale (HADS)) and the degree of depression (reflected by the depression subscore of HADS). The gamma oscillation power was revealed to be significantly positively correlated with the fatigue severity scale (FSS) score, while further analysis indicated that the electrode sites of almost the whole brain region showing correlations with fatigue. Regarding the disease variables, no statistically significant rs-EEG features were related to the main disease features in NMOSD patients.
The results of this study suggest that the rs-EEG power spectra of NMOSD patients show increased slow oscillations and are potential biomarkers of widespread white matter microstructural damage in NMOSD. Moreover, this study revealed the rs-EEG features associated with anxiety, depression, and fatigue in NMOSD patients, which might help in the evaluation of these complications and the development of neuromodulation treatment. Quantitative rs-EEG analysis may play an important role in the management of NMOSD patients, and future studies are warranted to more comprehensively understand its application value.
Cognition in MS correlates with resting-state oscillatory brain activity: An explorative MEG source-space study
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Citation Excerpt :
A 5-year follow-up study did not show a significant correlation between visual EEG abnormalities and neurological disability (Quattrini et al., 1981). Yet, another group used computerized spectral analysis to demonstrate a positive relation between patients' disability and increased theta power over the temporal regions and increased beta power over the frontal regions, where visual interpretation of the EEG failed to demonstrate any correlations (Colon et al., 1981). Power spectral density analysis of EEG data, obtained during an auditory oddball task, revealed increased power in beta and gamma bands (especially over midfrontal areas) in MS patients compared to healthy controls (Vazquez-Marrufo et al., 2008).
Clinical and cognitive dysfunction in Multiple Sclerosis (MS) is insufficiently explained by structural damage as identified by traditional magnetic resonance imaging (MRI) of the brain, indicating the need for reliable functional measures in MS. We investigated whether altered resting-state oscillatory power could be related to clinical and cognitive dysfunction in MS. MEG recordings were acquired using a 151-channel whole-head MEG system from 21 relapsing remitting MS patients and 17 healthy age-, gender-, and education-matched controls, using an eyes-closed no-task condition. Relative spectral power was estimated for 78 regions of interest, using an atlas-based beamforming approach, for classical frequency bands; delta, theta, alpha1, alpha2, beta and gamma. These cortical power estimates were compared between groups by means of permutation analysis and correlated with clinical disability (Expanded Disability Status Scale: EDSS), cognitive performance and MRI measures of atrophy and lesion load. Patients showed increased power in the alpha1 band and decreased power in the alpha2 band, compared to controls, mainly in occipital, parietal and temporal areas, confirmed by a lower alpha peak-frequency. Increased power in the alpha1 band was associated with worse overall cognition and especially with information processing speed. Our quantitative relative power analysis of MEG recordings showed abnormalities in oscillatory brain dynamics in MS patients in the alpha band. By applying source-space analyses, this study provides a detailed topographical view of abnormal brain activity in MS patients, especially localized to occipital areas. Interestingly, poor cognitive performance was related to high resting-state alpha1 power indicating that changes in oscillatory activity might be of value as an objective measure of disease burden in MS patients.
Individual analysis of EEG frequency and band power in mild Alzheimer's disease
2004, Clinical Neurophysiology
Objective: This EEG study investigates the role of the cholinergic system, cortico-cortical connections, and sub-cortical white matter on the relationship between individual EEG frequencies and their relative power bands.
Methods: EEGs were recorded at rest in 30 normal elderly subjects (Nold), 60 mild Alzheimer disease (AD) and 20 vascular dementia (VaD) patients, comparable for Mini Mental State Evaluation scores (MMSE 17–24). Individual EEG frequencies were indexed by the theta/alpha transition frequency (TF) and by the individual alpha frequency (IAF) with power peak in the extended alpha range (5–14 Hz). Relative power was separately computed for delta, theta, alpha1, alpha2, and alpha3 bands, on the basis of the TF and IAF.
Results: Using normal subjects as a reference, VaD patients showed ‘slowing’ of alpha frequency (TF-IAF) and lower alpha2 power; Mild AD patients showed lower alpha2 and alpha3 power; delta power was higher in both AD and VaD patients; Theta power was higher only in VaD patients.
Conclusions: Individual analysis of the alpha frequency and power can discriminate mild AD from VaD and normal elderly subjects.
Significance: This analysis may probe pathophysiological mechanisms causing AD and VaD.
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Multiple sclerosis (MS) is a disease that involves several components of the nervous system, including myelin, neurons, axons, neurochemistry, neuroimmunologic interactions, and electrophysiologic function. Bioelectromagnetic fields have effects on the nervous and immune systems that are relevant to MS. This article covers bioelectromagnetic effects on brain electrical activity, the immune system, nerve regeneration, neurotransmitters, clinical studies, and possible basic mechanisms for the effects of MS.
Central Neuropathic Pain and Profiles of Quantitative Electroencephalography in Multiple Sclerosis Patients
2020, Frontiers in Neurology
Resting-state MEG measurement of functional activation as a biomarker for cognitive decline in MS
2019, Multiple Sclerosis Journal

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Relation between EEG and disability scores in multiple sclerosis

Abstract

Multiple sclerosis. A reappraisal

Hirnelektrische Befunde bei Multipler Sklerose

Zbl. ges. Neurol. Psychiat.

The EEG of the waking adult

Die Wert der Elektroencephalo-graphy für die Diagnose der Multiplen Sklerose

Z. EEG-EMG

Reappraisal of the electroencephalogram in multiple sclerosis

Dis. Nev. Syst.

Computed tomography of the cerebrum in multiple sclerosis

Neuroradiology

Effect of intensive immunosuppression on the course of chronic progressive multiple sclerosis

J. Neurol.