Prognostic biomarkers in primary progressive multiple sclerosis: Validating and scrutinizing multimodal evoked potentials.

OBJECTIVE: To validate the prognostic value of multimodal evoked potentials (mmEP) in primary progressive multiple sclerosis (PPMS) and to determine the most predictive EP-modalities. METHODS: Thirty-nine patients with PPMS (expanded disability status scale (EDSS): 2.0-6.5; mean clinical follow-up: 2.8 years) had visual (VEP), upper and lower limb somatosensory (SEP) and motor EP (MEP) at baseline. Quantitative EP-scores for single (qVEP, qSEP, qMEP) and combined modalities were correlated to EDSS and compared to previously published data of 21 PPMS patients. Predictors of EDSS-change were analyzed in pooled data by linear regression. RESULTS: Samples were comparable. Except qVEP, all EP-scores were correlated to EDSS at baseline (Rho: 0.45-0.69; p < 0.01) and follow-up (Rho: 0.59-0.80; p < 0.001). Combined EP-modalities significantly predicted EDSS-change (R2adj: 0.24), while EDSS and age did not. Tibial qSEP (R2adj: 0.22) and qMEP (R2adj: 0.26) were the best single modality predictors, outperformed by their combination (R2adj: 0.32). CONCLUSIONS: Quantitative EP-scores predict up to 32% of EDSS-change over three years. Modalities representing motor and long tract function carry the main prognostic information. SIGNIFICANCE: Replication of previous results corroborates the use of mmEP as a prognostic biomarker candidate in PPMS.

From swing to cane: Sex differences of EEG resting-state temporal patterns during maturation and aging.

While many insights on brain development and aging have been gained by studying resting-state networks with fMRI, relating these changes to cognitive functions is limited by the temporal resolution of fMRI. In order to better grasp short-lasting and dynamically changing mental activities, an increasing number of studies utilize EEG to define resting-state networks, thereby often using the concept of EEG microstates. These are brief (around 100 ms) periods of stable scalp potential fields that are influenced by cognitive states and are sensitive to neuropsychiatric diseases. Despite the rising popularity of the EEG microstate approach, information about age changes is sparse and nothing is known about sex differences. Here we investigated age and sex related changes of the temporal dynamics of EEG microstates in 179 healthy individuals (6-87 years old, 90 females, 204-channel EEG). We show strong sex-specific changes in microstate dynamics during adolescence as well as at older age. In addition, males and females differ in the duration and occurrence of specific microstates. These results are of relevance for the comparison of studies in populations of different age and sex and for the understanding of the changes in neuropsychiatric diseases.

A 10-year follow-up of the European multicenter trial of interferon ß-1b in secondary-progressive multiple sclerosis.

OBJECTIVES: To explore long-term effects of treatment and prognostic relevance of variables assessed at baseline and during the European secondary progressive multiple sclerosis (SPMS) trial of interferon beta 1b (IFNB-1b). METHODS: We assessed 362 patients (60% female; median age 41 years; Expanded Disability Status Scale (EDSS): 5.5; 51% randomized to IFNB-1b) for their EDSS and treatment history after 10 years. Non-parametric analysis of covariance (ANCOVA) and multivariate linear regression models were applied. RESULTS: Median EDSS was 6.0 at the end of the randomized controlled trial (RCT), in the IFNB-1b and placebo groups, and 7.0 in long-term follow-up patients (those receiving IFNB-1b in the RCT were 6.5 and those receiving placebo in the RCT were 7.0; p = 0.086). 24 patients (6.6%) were deceased. The EDSS at baseline and the EDSS change during the RCT were the most important predictors of the EDSS 10 years later (partial R(2): 0.47). The ability to predict changes in EDSS 10 years after the RCT was limited (R(2): 0.12). Magnetic resonance imaging (MRI) measures remained in the predictive models, but explained < 5% of the variability. CONCLUSIONS: The results from this analysis did not provide convincing evidence to support a favorable long-term outcome in those patients allocated IFNB-1b during the RCT, in our SPMS cohort. The progressive stage of the disease remains largely unpredictable by clinical and conventional MRI measures, so better prognostic markers are needed.

Reliability of fully automated versus visually controlled pre- and post-processing of resting-state EEG.

OBJECTIVE: To compare the reliability of a newly developed Matlab® toolbox for the fully automated, pre- and post-processing of resting state EEG (automated analysis, AA) with the reliability of analysis involving visually controlled pre- and post-processing (VA). METHODS: 34 healthy volunteers (age: median 38.2 (20-49), 82% female) had three consecutive 256-channel resting-state EEG at one year intervals. Results of frequency analysis of AA and VA were compared with Pearson correlation coefficients, and reliability over time was assessed with intraclass correlation coefficients (ICC). RESULTS: Mean correlation coefficient between AA and VA was 0.94±0.07, mean ICC for AA 0.83±0.05 and for VA 0.84±0.07. CONCLUSION: AA and VA yield very similar results for spectral EEG analysis and are equally reliable. AA is less time-consuming, completely standardized, and independent of raters and their training. SIGNIFICANCE: Automated processing of EEG facilitates workflow in quantitative EEG analysis.

Quantitative EEG and apolipoprotein E-genotype improve classification of patients with suspected Alzheimer's disease.

OBJECTIVE: To establish a model for better identification of patients in very early stages of Alzheimer's disease, AD (including patients with amnestic MCI) using high-resolution EEG and genetic data. METHODS: A total of 26 patients in early stages of probable AD and 12 patients with amnestic MCI were included. Both groups were similar in age and education. All patients had a comprehensive neuropsychological examination and a high resolution EEG. Relative band power characteristics were calculated in source space (LORETA inverse solution for spectral data) and compared between groups. A logistic regression model was calculated including relative band-power at the most significant location, ApoE status, age, education and gender. RESULTS: Differences in the delta band at 34 temporo-posterior source locations (p<.01) between AD and MCI groups were detected after correction for multiple comparisons. Classification slightly increased when ApoE status was added (p=.06 maximum likelihood test). Adjustment of analyses for the confounding factors age, gender and education did not alter results. CONCLUSIONS: Quantitative EEG (qEEG) separates between patients with amnestic MCI and patients in early stages of probable AD. Adding information about Apo ε4 allele frequency slightly enhances diagnostic accuracy. SIGNIFICANCE: qEEG may help identifying patients who are candidates for possible benefit from future disease modifying treatments.

Intranasal midazolam: pharmacokinetics and pharmacodynamics assessed by quantitative EEG in healthy volunteers.

The pharmacokinetics and pharmacodynamics of a highly concentrated cyclodextrin-based intranasal (i.n.) midazolam formulation containing the absorption-enhancer chitosan were studied in 12 healthy volunteers and compared with intravenous (i.v.) midazolam. The pharmacodynamic (PD) effects were assessed using quantitative electroencephalography (EEG). Maximal plasma concentrations of 63 and 110 ng/ml were reached at 8.4 and 7.6 min after 3 and 6 mg i.n. midazolam, respectively. After 5 mg i.v. and 6 and 3 mg i.n. midazolam, the times to onset of significant EEG effects in the ß2 band (18-25 Hz) were 1.2, 5.5, and 6.9 min, respectively, and the times to loss of response to auditory stimuli were 3.0, 8.0, and 15.0 min, respectively. A sigmoid maximum-effect (E(max)) model indicated disequilibrium between plasma and effect-site concentrations, with equilibration half-lives of 2.1-4.8 min. The observed pharmacokinetic-PD (PK-PD) properties suggest that i.n. midazolam deserves to be evaluated as an easy and noninvasive method of administering a first benzodiazepine dose, e.g., in out-of-hospital emergency settings with no immediate i.v. access.

[Agitation and gamma-hydroxybutyrate]. / Erregungszustände und gamma-Hydroxybutyrat.

Agitation is a symptom in various disorders. Gamma-hydroxybutyrate (GHB) is often abused because of its stimulating effects. Side effects comprise loss of consciousness, coma, and agitated states. We present a 50-year-old patient with repeated GHB intoxications and abstinent alcohol dependency and a video document showing an agitated state. Diagnostic workup is discussed considering the relevant literature on this topic. Intoxication and dependence on GHB are important entities in the contexts of neurology and psychiatry.

Rate of brain atrophy in relapsing MS decreases during treatment with IFNbeta-1a.

OBJECTIVE: To determine the time course of brain atrophy during treatment with once-weekly IM interferon beta-1a (IFNbeta-1a). METHODS: The MRI cohort (n = 386) of the European IFNbeta-1a dose comparison study in relapsing multiple sclerosis (MS) was analyzed. In addition to baseline and three annual scans, a frequent subgroup (n = 138) had two scans before treatment initiation and scans at months 4, 5, 6, 10, and 11. Brain parenchymal fraction (BPF), a normalized measure of whole-brain atrophy, and volume of Gd-enhancing lesions (T1Gd) and T2 hyperintense lesions (T2LL) were evaluated. RESULTS: BPF decrease was -0.686% (first year), -0.377% (second year), and -0.378% (third year). Analysis of the frequent subgroup showed that 68% of the first-year BPF decrease occurred during the first 4 months of treatment. This change was paralleled by a drop in T1Gd and T2LL. In the frequent subgroup, an annualized atrophy rate was determined by a regression slope for the pretreatment period and from month 4 of treatment onward. Annualized pretreatment rate (-1.06%) was significantly higher than the under-treatment rate (-0.33%). CONCLUSIONS: In the first year of treatment with anti-inflammatory agents, atrophy measurements are possibly confounded by resolution of inflammatory edema or more remote effects of previous damage to the CNS. The atrophy rate reduction observed after treatment month 4 may reflect a beneficial but partial effect of interferon beta-1a and was sustained over the 3-year study period.