Sexual Dysfunction In Epilepsy And The Role Of Anti-Epileptic Drugs.

BACKGROUND: Sexual dysfunction is very common in patients with epilepsy. OBJECTIVE: We sought to review the published literature around sexual dysfunction in epilepsy, and particularly the role played by anti-convulsant drugs. METHOD: We searched all related articles on PubMed using the search terms sexual dysfunction, various AEDs and epilepsy, and restricted the search to English language articles. RESULTS: The most common manifestations of sexual dysfunction in patients with epilepsy are hyposexuality and erectile dysfunction. The cause of this dysfunction is multifactorial and overlapping, and includes changes in the levels of sex hormones, anti-convulsants, the epilepsy itself and psychosocial factors. Traditional anti-convulsants which induce the cytochrome P450 enzyme system have the highest rates of sexual dysfunction, which is primarily mediated by changes in sex hormone levels. Sexual dysfunction associated with newer anti-convulsants is likely to occur through different mechanisms. Some anti-convulsants such as oxcarbazepine and lamotrigine may improve sexual function, but can also rarely be associated with sexual dysfunction. CONCLUSION: Management of sexual dysfunction thought to be caused by anti-convulsants should include the cessation of the offending drug, and consideration of switching to alternative anti-convulsants that have been reported to improve sexual function such as oxcarbazepine, and lamotrigine

Imaging Structural Connections of the Brain in Epilepsy

Introduction Temporal lobe epilepsy (TLE) is the most common cause of medically intractable partial epilepsy in adults. For many patients, anterior temporal lobe resection (ATLR) is an effective means of treatment, but can cause a significant decline in language or memory function, and visual field deficits. Diffusion tensor imaging and tractography is an MRI technique that can be used to probe white matter structure, and delineate the white matter tracts relevant to vision, language, and memory function. Aims We aimed to use diffusion MRI to increase understanding of the causes and consequences of TLE, and identify patients who are at risk of language, and visual impairment after surgery. Methods and Analysis Techniques Healthy controls, and patients with TLE were scanned pre- and post operatively using 3T MRI. All patients in the study underwent a comprehensive pre- and post-surgical evaluation including clinical, MRI, video-EEG, and neuropsychological assessment. Whole brain analysis of both pre-, and post-operative diffusion MRI was carried out. Tractography was used to assess white matter relevant to memory, language and vision. Correlation analysis of white matter data, and neuropsychological and clinical variables was carried out using the statistical software package, SPSS. Results and Discussion This thesis demonstrates the widespread changes in white matter microstructure present in patients with TLE, and the relationship between medial temporal lobe connections and memory function. It demonstrates how white matter microstructure changes after anterior temporal lobe resection, and how this information can be used to aid prediction of post-operative language deficits in patients. It concludes by showing that tractography can be used to predict postoperative visual field deficits. Conclusion Diffusion Mill can be used to increase our understanding of the causes and consequences of TLE, and to improve pre-surgical planning

Management of functional neurological disorder.

Functional neurological disorder (FND) is a common cause of persistent and disabling neurological symptoms. These symptoms are varied and include abnormal control of movement, episodes of altered awareness resembling epileptic seizures and abnormal sensation and are often comorbid with chronic pain, fatigue and cognitive symptoms. There is increasing evidence for the role of neurologists in both the assessment and management of FND. The aim of this review is to discuss strategies for the management of FND by focusing on the diagnostic discussion and general principles, as well as specific treatment strategies for various FND symptoms, highlighting the role of the neurologist and proposing a structure for an interdisciplinary FND service

Imaging memory in temporal lobe epilepsy: predicting the effects of temporal lobe resection

Functional magnetic resonance imaging can demonstrate the functional anatomy of cognitive processes. In patients with refractory temporal lobe epilepsy, evaluation of preoperative verbal and visual memory function is important as anterior temporal lobe resections may result in material specific memory impairment, typically verbal memory decline following left and visual memory decline after right anterior temporal lobe resection. This study aimed to investigate reorganization of memory functions in temporal lobe epilepsy and to determine whether preoperative memory functional magnetic resonance imaging may predict memory changes following anterior temporal lobe resection. We studied 72 patients with unilateral medial temporal lobe epilepsy (41 left) and 20 healthy controls. A functional magnetic resonance imaging memory encoding paradigm for pictures, words and faces was used testing verbal and visual memory in a single scanning session on a 3T magnetic resonance imaging scanner. Fifty-four patients subsequently underwent left (29) or right (25) anterior temporal lobe resection. Verbal and design learning were assessed before and 4 months after surgery. Event-related functional magnetic resonance imaging analysis revealed that in left temporal lobe epilepsy, greater left hippocampal activation for word encoding correlated with better verbal memory. In right temporal lobe epilepsy, greater right hippocampal activation for face encoding correlated with better visual memory. In left temporal lobe epilepsy, greater left than right anterior hippocampal activation on word encoding correlated with greater verbal memory decline after left anterior temporal lobe resection, while greater left than right posterior hippocampal activation correlated with better postoperative verbal memory outcome. In right temporal lobe epilepsy, greater right than left anterior hippocampal functional magnetic resonance imaging activation on face encoding predicted greater visual memory decline after right anterior temporal lobe resection, while greater right than left posterior hippocampal activation correlated with better visual memory outcome. Stepwise linear regression identified asymmetry of activation for encoding words and faces in the ipsilateral anterior medial temporal lobe as strongest predictors for postoperative verbal and visual memory decline. Activation asymmetry, language lateralization and performance on preoperative neuropsychological tests predicted clinically significant verbal memory decline in all patients who underwent left anterior temporal lobe resection, but were less able to predict visual memory decline after right anterior temporal lobe resection. Preoperative memory functional magnetic resonance imaging was the strongest predictor of verbal and visual memory decline following anterior temporal lobe resection. Preoperatively, verbal and visual memory function utilized the damaged, ipsilateral hippocampus and also the contralateral hippocampus. Memory function in the ipsilateral posterior hippocampus may contribute to better preservation of memory after surgery

Fatigue during treatment with antiepileptic drugs: a levetiracetam specific adverse event?

Purpose To examine the prevalence and clinical correlates of fatigue as an adverse event (AE) of antiepileptic drug (AED) treatment in patients with epilepsy. Methods Data from 443 adult outpatients with epilepsy assessed with the Adverse Event Profile (AEP) and the Neurological Disorder Depression Inventory for Epilepsy (NDDIE) were analysed. Results Fatigue is reported by 36.6% of patients as always a problem during AED treatment. Fatigue is more likely to be reported by females (64.8% vs. 35.2%; Chi-Square = 16.762; df = 3; p = 0.001) and during treatment with levetiracetam (42.3% vs. 33.2%; Chi-Square = 11.462; df = 3; p = 0.009). The associations with the female gender and levetiracetam treatment were not mediated by depression, as identified with the NDDIE, and could not be simply explained by the large number of subjects on levetiracetam treatment, as analogous figures resulted from the analysis of a monotherapy subsample (41.7% vs. 30.3%; Chi-Square = 11.547; df = 3; p = 0.009). Conclusions One third of patients with epilepsy reports fatigue as a significant problem during AED treatment. Fatigue is more likely to be reported by females and seems to be specifically associated with LEV treatment. However, fatigue is not mediated by a negative effect of LEV on mood

Synthesis and Characterization of Conjugated/Cross-Conjugated Benzene-Bridged Boron Difluoride Formazanate Dimers

One of the most common strategies for the production of molecular materials with optical properties in the far-red/near-IR regions of the electromagnetic spectrum is their incorporation into dimeric architectures. In this paper, we describe the synthesis and characterization (1H, 11B, 13C and 19F NMR spectroscopy, IR and UV-Vis absorption and emission spectroscopy, mass spectrometry and X-ray crystallography) of the first examples of boron difluoride (BF2) formazanate dimers. Specifically, the properties of meta- and para-substituted benzene-bridged dimers p-10 and m-10 were compared to closely related boron difluoride triphenyl formazanate complex 11 in order to assess the effect of electronic conjugation and cross conjugation on their light absorption/emission and electrochemical properties. While the properties of cross-conjugated dimer m-10 did not differ significantly from those of monomer 11, conjugated dimer p-10 exhibited red-shifted absorption and emission maxima and was easier to reduce electrochemically to its bis radical anion and bis dianion form compared to monomer 11. Both dimers are weakly emissive in the far-red/near-IR and exhibited large Stokes shifts (\u3e 110 nm, 3318 cm−1). Unlike a closely related para-substituted benzene-bridged boron dipyrromethene (BODIPY) dimer, the emission quantum yields measured for the BF2 formazanate dimers exceeded those observed for monomeric analogues

Nonictal electroencephalographic measures for the diagnosis of functional seizures

Objective: Functional seizures (FS) look like epileptic seizures but are characterized by a lack of epileptic activity in the brain. Approximately one in five referrals to epilepsy clinics are diagnosed with this condition. FS are diagnosed by recording a seizure using video-electroencephalography (EEG), from which an expert inspects the semiology and the EEG. However, this method can be expensive and inaccessible and can present significant patient burden. No single biomarker has been found to diagnose FS. However, the current limitations in FS diagnosis could be improved with machine learning to classify signal features extracted from EEG, thus providing a potentially very useful aid to clinicians. Methods: The current study has investigated the use of seizure-free EEG signals with machine learning to identify subjects with FS from those with epilepsy. The dataset included interictal and preictal EEG recordings from 48 subjects with FS (mean age=34.76\ub110.55 years, 14 males) and 29 subjects with epilepsy (mean age=38.95\ub113.93 years, 18 males) from which various statistical, temporal, and spectral features from the five EEG frequency bands were extracted then analyzed with threshold accuracy, five machine learning classifiers, and two feature importance approaches. Results: The highest classification accuracy reported from thresholding was 60.67%. However, the temporal features were the best performing, with the highest balanced accuracy reported by the machine learning models: 95.71% with all frequency bands combined and a support vector machine classifier. Significance: Machine learning was much more effective than using individual features and could be a powerful aid in FS diagnosis. Furthermore, combining the frequency bands improved the accuracy of the classifiers in most cases, and the lowest performing EEG bands were consistently delta and gamma

Efficacy and safety of secukinumab for the treatment of severe ABCA12 deficiency‐related ichthyosis in a child

Summary Background Patients with severe autosomal recessive congenital ichthyosis (ARCI) show a T helper 17/interleukin 17 (Th17/IL17) skewing in their skin and serum, resembling the inflammatory profile of psoriatic patients. Secukinumab, an IL‐17A inhibitor, has shown clinical efficacy in patients with moderate‐to‐severe plaque psoriasis. Aims To test the clinical efficacy and safety of secukinumab in a paediatric patient with ATP‐binding cassette subfamily A member 12 deficiency‐related severe erythrodermic ARCI. Materials & Methods 6‐months therapeutic trial. During the first 4‐weeks induction period, the patient received weekly subcutaneous injections of 150 mg secukinumab (five injections in total). During the following 20‐weeks maintenance period, the patient was given a subcutaneous injection of 150 mg secukinumab every 4 weeks. Result & Discussion After the 6‐months therapy period, there was a 48% reduction from the baseline Ichthyosis‐Area‐Severity‐Index (‐Erythema/‐Scaling) score. The treatment was well tolerated. Moreover, cytokine analysis revealed a reduction of keratinocyte‐derived proinflammatory cytokines and an abrogation of Th17‐skewing during therapy. Conclusion Further studies are needed to evaluate the effects of the use of IL‐17A inhibition in ARCI patients