Compound muscle action potential scan and MScanFit motor unit number estimation during Wallerian degeneration after nerve transections

Background Compound muscle action potential (CMAP) scan and MScanFit have been used to understand the consequences of denervation and reinnervation. This study aimed to monitor these parameters during Wallerian degeneration (WD) after acute nerve transections (ANT).Methods Beginning after urgent surgery, CMAP scans were recorded at 1-2 day intervals in 12 patients with ANT of the ulnar or median nerves, by stimulating the distal stump (DS). Stimulus intensities (SI), steps, returners, and MScanFit were calculated. Studies were grouped according to the examination time after ANT. Results were compared with those of 27 controls.Results CMAP amplitudes and MScanFit progressively declined, revealing a positive correlation with one another. SIs were higher in WD groups than controls. Steps appeared or disappeared in follow-up scans. The late WD group had higher returner% than the early WD and control groups.Conclusions MScanFit can monitor neuromuscular dysfunction during WD. SIs revealed excitability changes in DS

Exploring shared triggers and potential etiopathogenesis between migraine and idiopathic/genetic epilepsy: Insights from a multicenter tertiary-based study

Introduction: Migraine and epilepsy are two episodic disorders that share common pathophysiological mechanisms. The aim of our research was to assess the possible shared etiopathogenesis by analyzing the relations of headache, and seizure triggers, based on information obtained from a national cohort surveying the headache characteristics of 809 patients who had been diagnosed with idiopathic/genetic epilepsy. Material and methods: Our study utilized data from a multi-center, nationwide investigation of headaches in 809 patients with idiopathic/genetic epilepsy. Out of these, 508 patients reported complaints related to any type of headache (333 Migraines, 175 Headaches of other types). In the initial phase of the study encompassing the entire sample of 809 epilepsy patients, differences in seizure triggers were assessed between the migraine group (n = 333) and the non-migraine group (n = 476). Additionally, the subsequent part of the study pertains to a subgroup of the entire patient group, namely those affected by all types of headaches (n = 508), and differences in headache triggers were assessed among migraine patients (n = 333) and those with other types of headaches (n = 175). Similar differences were observed between epilepsy patients with and without a family history of epilepsy. Results: The most frequently reported seizure triggers in all I/GE group (n = 809) were stress (23%), sleep deprivation (22%) and fatigue (18%), respectively. The most frequently reported headache triggers in migraine patients were stress (31%), sleep deprivation (28%), and noise (26%). The occurrence of menstruation-triggered seizures in individuals with migraine and I/GE was found to be considerably higher than those without migraine. The most common triggers for seizure and headache among the individuals with a positive family history of epilepsy were determined to be light stimuli and sleep deprivation. Conclusion: In conclusion, our study provides valuable insights into the overlapping triggers including sleep patterns, stress levels, and menstrual cycles, etc. and potential shared etiology of migraine and I/GE. Recognizing these connections may facilitate the development of more precise therapeutic strategies and underscore the significance of adopting a holistic, multidisciplinary approach to the management of these intricate neurological conditions. Further research is essential to explore in greater depth the shared mechanisms underpinning these associations and their implications for clinical practice

The effect of sleep disorders on quality of life in patients with epilepsy: A multicenter study from Turkey

Objective: We aimed to investigate sleep disorders in patients with epilepsy (PWE) and to investigate the effects of sleep disorders on quality of life. Methods: In our multicenter study conducted in Turkey, 1358 PWE were evaluated. The demographic and clinical data of the patients were recorded. The Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory (BDI), and Quality of Life in Epilepsy Inventory-10 (QOLIE-10) were administered. Results: The mean age of 1358 patients was 35.92 ± 14.11 (range, 18–89) years. Seven hundred fifty-one (55.30 %) were women. Some 12.7 % of the patients had insomnia (ISI > 14), 9.6 % had excessive daytime sleepiness (ESS > 10), 46.5 % had poor sleep quality (PSQI > 5), and 354 patients (26.1 %) had depressive symptoms (BDI > 16). The mean QOLIE-10 score was 22.82 ± 8.14 (10–48). Resistant epilepsy was evaluated as the parameter with the highest risk affecting quality of life Adjusted odds ratio (AOR = 3.714; 95 % confidence interval (CI): [2.440–5.652] < 0.001)). ISI (AOR = 1.184; 95 % CI: [1.128–1.243]; p < 0.001), ESS (AOR = 1.081; 95 % CI: [1.034–1.130]; p < 0.001), PSQI (AOR = 0.928; 95 % CI: [0.867 – 0.994]; p = 0.034), BDI (AOR = 1.106; 95 % CI: [1.084–1.129]; p < 0.001), epilepsy duration (AOR = 1.023; 95 % CI: [1.004–1.041]; p = 0.014), were determined as factors affecting quality of life. Significance: Sleep disorders are common in PWE and impair their quality of life. Quality of life can be improved by controlling the factors that may cause sleep disorders such as good seizure control, avoiding polypharmacy, and correcting the underlying mood disorders in patients with epilepsy