Interrater agreement of classification of photoparoxysmal electroencephalographic response.

Our goal was to assess the interrater agreement (IRA) of photoparoxysmal response (PPR) using the classification proposed by a task force of the International League Against Epilepsy (ILAE), and a simplified classification system proposed by our group. In addition, we evaluated IRA of epileptiform discharges (EDs) and the diagnostic significance of the electroencephalographic (EEG) abnormalities. We used EEG recordings from the European Reference Network (EpiCARE) and Standardized Computer-based Organized Reporting of EEG (SCORE). Six raters independently scored EEG recordings from 30 patients. We calculated the agreement coefficient (AC) for each feature. IRA of PPR using the classification proposed by the ILAE task force was only fair (AC = 0.38). This improved to a moderate agreement by using the simplified classification (AC = 0.56; P = .004). IRA of EDs was almost perfect (AC = 0.98), and IRA of scoring the diagnostic significance was moderate (AC = 0.51). Our results suggest that the simplified classification of the PPR is suitable for implementation in clinical practice.

Social impairment and stigma in genetic generalized epilepsies.

INTRODUCTION: Patients with epilepsy have poor social outcome. Multifactorial factors are usually involved, but among them, stigma features may have an important role. Genetic generalized epilepsies (GGEs) were previously considered "benign" syndromes. The aim of our study was to assess social impairment and stigma in GGE and to evaluate differences between the following GGE subsyndromes: juvenile myoclonic epilepsy (JME), juvenile absence epilepsy (JAE), and generalized tonic-clonic seizures alone (GTCSA). Additionally, we compared these outcomes with outcomes from a cohort of patients with epilepsy with mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS), a severe and difficult-to-treat syndrome. Results were compared with social data from the general population. METHODS: Adult patients with epilepsy with a previously classified GGE or MTLE-HS were consecutively invited to fill in a sociodemographic and stigma questionnaire in outpatient clinic. Clinical data and psychiatric comorbidities were retrieved from clinical notes. RESULTS: Questionnaires from 333 patients were obtained: 226/67% from patients with GGE (JME: 106/31.8%, GTCSA: 74/22.2%, and JAE: 46/13.8%) and 107/32.1% from patients with MTLE-HS. We found that patients with GGE have a good academic achievement but they have increased difficulties in finding a partner, higher rates of divorce, and a reduced number of children per woman and per man when compared with general population. We also observed that patients with GGE have higher rates of unemployment (22.6%) and lower monthly income than general population. Severe problems in housing were only seen in GGEs. Of these, 3 patients (1.3%) were in homeless condition. Over half (52%) of patients with MTLE-HS and over a quarter (28%) of patients with GGE experienced felt stigma. Psychiatric comorbidity was highly prevalent among GGE (34.1%), especially in patients with refractory epilepsy. Mood and anxiety disorders were the most prevalent conditions. No other significant differences were found between GGE subsyndromes. DISCUSSION: We found an impairment in every social domain assessed (except in level of education) when compared with general population. Most of the social outcome parameters were unexpectedly close or similar to MTLE-HS or even worse as it was the prevalence of homelessness among GGE. Social impairment is underdiagnosed and might be considered in clinical practice even in syndromes for some time considered benign such as GGE.

Spirituality and quality of life in epilepsy and other chronic neurological disorders.

PURPOSE: The patients with neurological disorders often report a different quality of life (QoL), which is in part explained by clinical-pathological or psychosocial variables. This study evaluated spirituality in patients with chronic brain pathologies, aiming to clarify its specificity and position to a multidimensional model of QoL. METHODS: A hundred and ninety-nine adult patients with epilepsy (E) (n = 88), mild cognitive impairment (MCI) (n = 32), ischemic vascular disorders (n = 29), tumors (n = 28), or multiple sclerosis (MS) (n = 22), and 66 healthy subjects were assessed using the World Health Organization Quality of Life (WHOQoL) 100, Spiritual, Religious and Personal Beliefs (SRPB), Beck Depression Inventory (BDI), and State-Trait Anxiety Inventory (STAI) for the QoL, spirituality, depression, and anxiety. The Multiple Ability Self-Report Questionnaire (MASQ) and neuropsychological tests evaluated the cognitive functions. RESULTS: Factor analysis of the SRPB, STAI, and BDI scores yielded four factors: Personal Meaning, Inner Freedom, Awe and Openness, and Mood. Quality of life and spirituality were very similar between the patient groups. In comparison with the controls, all of the patients showed worse QoL, spirituality, mood, and lexical-memory abilities, and the patients with MCI and brain vascular disorders (BVD) also revealed worse cognitive impairments. Trait anxiety, self-rated health, age, and the SRPB Inner independence and Hope and optimism facets predicted the patients' WHOQoL 100 total score; the spiritual, affective, and socioeconomic variables predicted many QoL domains, but diagnosis only affected the Physical domain. Anxiety, self-rated health, Hope and optimism, and Personal beliefs predicted the controls' WHOQoL 100 total score. CONCLUSIONS: Spirituality, as marked by the meaning of self, inner independence, and transcendence, is distinct from mood. It cooperates, together with the affective states, to determine the QoL of the patients with chronic brain pathologies whereas diagnosis has a limited impact. These findings support a multidimensional cross-disease model for the QoL in neurological disorders.

The European Narcolepsy Network (EU-NN) database.

Narcolepsy with cataplexy is a rare disease with an estimated prevalence of 0.02% in European populations. Narcolepsy shares many features of rare disorders, in particular the lack of awareness of the disease with serious consequences for healthcare supply. Similar to other rare diseases, only a few European countries have registered narcolepsy cases in databases of the International Classification of Diseases or in registries of the European health authorities. A promising approach to identify disease-specific adverse health effects and needs in healthcare delivery in the field of rare diseases is to establish a distributed expert network. A first and important step is to create a database that allows collection, storage and dissemination of data on narcolepsy in a comprehensive and systematic way. Here, the first prospective web-based European narcolepsy database hosted by the European Narcolepsy Network is introduced. The database structure, standardization of data acquisition and quality control procedures are described, and an overview provided of the first 1079 patients from 18 European specialized centres. Due to its standardization this continuously increasing data pool is most promising to provide a better insight into many unsolved aspects of narcolepsy and related disorders, including clear phenotype characterization of subtypes of narcolepsy, more precise epidemiological data and knowledge on the natural history of narcolepsy, expectations about treatment effects, identification of post-marketing medication side-effects, and will contribute to improve clinical trial designs and provide facilities to further develop phase III trials.

Purinergic exposure induces epigenomic and transcriptomic-mediated preconditioning resembling epilepsy-associated microglial states.

Microglia play a crucial role in a range of neuropathologies through exacerbated activation. Microglial inflammatory responses can be influenced by prior exposures to noxious stimuli, like increased levels of extracellular adenosine and ATP. These are characteristic of brain insults like epileptic seizures and could potentially shape subsequent responses through epigenetic regulation. We investigated DNA methylation and expression changes in human microglia-like cells differentiated from monocytes following ATP-mediated preconditioning. We demonstrate that microglia-like cells display homeostatic microglial features, shown by surface markers, transcriptome, and DNA methylome. After exposure to ATP, TLR-mediated activation leads to an exacerbated pro-inflammatory response. These changes are accompanied by methylation and transcriptional reprogramming associated with enhanced immune-related functions. The reprogramming associated with ATP-mediated preconditioning leads to profiles found in microglial subsets linked to epilepsy. Purine-driven microglia immune preconditioning drives epigenetic and transcriptional changes that could contribute to altered functions of microglia during seizure development and progression.

Standardized computer-based organized reporting of EEG: SCORE.

The electroencephalography (EEG) signal has a high complexity, and the process of extracting clinically relevant features is achieved by visual analysis of the recordings. The interobserver agreement in EEG interpretation is only moderate. This is partly due to the method of reporting the findings in free-text format. The purpose of our endeavor was to create a computer-based system for EEG assessment and reporting, where the physicians would construct the reports by choosing from predefined elements for each relevant EEG feature, as well as the clinical phenomena (for video-EEG recordings). A working group of EEG experts took part in consensus workshops in Dianalund, Denmark, in 2010 and 2011. The faculty was approved by the Commission on European Affairs of the International League Against Epilepsy (ILAE). The working group produced a consensus proposal that went through a pan-European review process, organized by the European Chapter of the International Federation of Clinical Neurophysiology. The Standardised Computer-based Organised Reporting of EEG (SCORE) software was constructed based on the terms and features of the consensus statement and it was tested in the clinical practice. The main elements of SCORE are the following: personal data of the patient, referral data, recording conditions, modulators, background activity, drowsiness and sleep, interictal findings, "episodes" (clinical or subclinical events), physiologic patterns, patterns of uncertain significance, artifacts, polygraphic channels, and diagnostic significance. The following specific aspects of the neonatal EEGs are scored: alertness, temporal organization, and spatial organization. For each EEG finding, relevant features are scored using predefined terms. Definitions are provided for all EEG terms and features. SCORE can potentially improve the quality of EEG assessment and reporting; it will help incorporate the results of computer-assisted analysis into the report, it will make possible the build-up of a multinational database, and it will help in training young neurophysiologists.

Methodology of photic stimulation revisited: updated European algorithm for visual stimulation in the EEG laboratory.

Intermittent photic stimulation (IPS) is a common procedure performed in the electroencephalography (EEG) laboratory in children and adults to detect abnormal epileptogenic sensitivity to flickering light (i.e., photosensitivity). In practice, substantial variability in outcome is anecdotally found due to the many different methods used per laboratory and country. We believe that standardization of procedure, based on scientific and clinical data, should permit reproducible identification and quantification of photosensitivity. We hope that the use of our new algorithm will help in standardizing the IPS procedure, which in turn may more clearly identify and assist monitoring of patients with epilepsy and photosensitivity. Our algorithm goes far beyond that published in 1999 (Epilepsia, 1999a, 40, 75; Neurophysiol Clin, 1999b, 29, 318): it has substantially increased content, detailing technical and logistical aspects of IPS testing and the rationale for many of the steps in the IPS procedure. Furthermore, our latest algorithm incorporates the consensus of repeated scientific meetings of European experts in this field over a period of 6 years with feedback from general neurologists and epileptologists to improve its validity and utility. Accordingly, our European group has provided herein updated algorithms for two different levels of methodology: (1) requirements for defining photosensitivity in patients and in family members of known photosensitive patients and (2) requirements for tailored studies in patients with a clear history of visually induced seizures or complaints, and in those already known to be photosensitive.

Female sexual and pelvic floor muscles dysfunctions in familial amyloidotic polyneuropathy (FAP-Portuguese type).

OBJECTIVES: The aim of this study was to investigate the prevalence of Sexual and Pelvic Floor Dysfunctions associated with familial type 1 Portuguese amyloid polyneuropathy (FAP). We studied women with FAP in three stages of the disease: asymptomatic women (n=12), women in the early stage of the disease (n=8) and 3 women in the most progressive stage of the disease. We hypothesize that women with FAP suffer from pelvic floor hypotonicity, which may hinder orgasmic function and as such, lead to deteriorated sexual function. METHODS: Twenty-three women with FAP were studied. Clinical examinations were performed using the following scales: Clinical Evaluation Scale (CES), Visual Analog Scale of Quality of Life (VAS), Female Sexual Function Index (FSFI) and Pelvic Floor Manometry (PFM). RESULTS: Of the women, 5 (21.7%) had a score of < 26 on the FSFI, suggesting sexual dysfunction, 3 of which had FAP at the most progressive stage. None of the asymptomatic women had low FSFI scores. The manometrical rates (PFM) of tonus and strength of the pelvic floor showed significant differences between groups. CONCLUSION: Female sexual dysfunction (FSD) may occur in the initial stages of the disease but is more prevalent in women in the advanced stages of the disease. There is an increasing incidence of FSD as FAP disease progresses, namely in terms of HSDD and orgasmic sensation. In the asymptomatic group, the females revealed PFM alterations without stress urinary incontinence, which is regarded to be a discrete deterioration of pelvic floor muscle function.

Circulating cell-free DNA methylation mirrors alterations in cerebral patterns in epilepsy.

BACKGROUND: DNA methylation profiling of circulating cell-free DNA (cfDNA) has rapidly become a promising strategy for biomarker identification and development. The cell-type-specific nature of DNA methylation patterns and the direct relationship between cfDNA and apoptosis can potentially be used non-invasively to predict local alterations. In addition, direct detection of altered DNA methylation patterns performs well as a biomarker. In a previous study, we demonstrated marked DNA methylation alterations in brain tissue from patients with mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS). RESULTS: We performed DNA methylation profiling in cfDNA isolated from the serum of MTLE patients and healthy controls using BeadChip arrays followed by systematic bioinformatic analysis including deconvolution analysis and integration with DNase accessibility data sets. Differential cfDNA methylation analysis showed an overrepresentation of gene ontology terms and transcription factors related to central nervous system function and regulation. Deconvolution analysis of the DNA methylation data sets ruled out the possibility that the observed differences were due to changes in the proportional contribution of cortical neurons in cfDNA. Moreover, we found no overrepresentation of neuron- or glia-specific patterns in the described cfDNA methylation patterns. However, the MTLE-HS cfDNA methylation patterns featured a significant overrepresentation of the epileptic DNA methylation alterations previously observed in the hippocampus. CONCLUSIONS: Our results support the use of cfDNA methylation profiling as a rational approach to seeking non-invasive and reproducible epilepsy biomarkers.

Epilepsy progression is associated with cumulative DNA methylation changes in inflammatory genes.

Mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) is the most common focal epilepsy in adults. It is characterized by alarming rates of pharmacoresistance. Epileptogenesis is associated with the occurrence of epigenetic alterations, and the few epigenetic studies carried out in MTLE-HS have mainly focused on the hippocampus. In this study, we obtained the DNA methylation profiles from both the hippocampus and anterior temporal neocortex of MTLE-HS patients subjected to resective epilepsy surgery and autopsied non-epileptic controls. We assessed the progressive nature of DNA methylation changes in relation to epilepsy duration. We identified significantly altered hippocampal DNA methylation patterns encompassing multiple pathways known to be involved in epileptogenesis. DNA methylation changes were even more striking in the neocortex, wherein pathogenic pathways and genes were common to both tissues. Most importantly, DNA methylation changes at many genomic sites varied significantly with epilepsy duration. Such progressive changes were associated with inflammation-related genes in the hippocampus. Our results suggest that the neocortex, relatively spared of extensive histopathological damage, may also be involved in epilepsy development. These results also open the possibility that the observed neocortical impairment could represent a preliminary stage of epileptogenesis before the establishment of chronic lesions or a consequence of prolonged seizure exposure. Our two-tissue multi-level characterization of the MTLE-HS DNA methylome suggests the occurrence of a self-propagating inflammatory wave of epigenetic dysregulation.

Auditory verbal learning test can lateralize hippocampal sclerosis.

The ability of the Auditory Verbal Learning Test (AVLT) to lateralize hippocampal sclerosis (HS) in mesial temporal lobe epilepsy (MTLE) was explored in a sample of 50 patients with MTLE-HS (23 right and 27 left). Patients' AVLT scores were adjusted to the demographic characteristics of each individual in accordance with the Portuguese normative data. The laterality of the HS was determined by consensus by two neuroradiologists. ROC curves were used to identify the best AVLT cutoff scores to differentiate right vs. left HS. Diagnostic statistics were applied to different AVLT measures. The study results revealed that four AVLT scores can correctly classify the laterality of HS in the total sample and a sub-group of 39 right-handed patients (Edinburgh Laterality Inventory +100): delayed recall trial (76 and 80%, respectively), delayed recognition trial (64 and 67%, respectively), learning over trials index (64 and 74%, respectively), and long-term percent retention index (68 and 72%, respectively). In right-handed patients, the diagnostic capability of the delayed recall trial was improved by pairing it with the learning over trials index (accuracy of 85%). In sum, AVLT measures of verbal memory differentiate left from right HS in MTLE. The delayed recall trial demonstrated good diagnostic capacity.

Long term outcome of functional hemispherectomy for refractory epilepsy: Experience from a single center.

BACKGROUND: Hemispherectomy has an established role as a treatment of last resort in patients with unilateral hemispheric lesions suffering from refractory epilepsy. METHODS: Seven patients were evaluated at our Epilepsy Unit. We compared the seizure outcome at 6 months, 1, 2, 5 years post-surgery, as well as at end follow-up (mean 7.1 years) using Engel classification. Reduction of antiepileptic drugs (AEDs) was also assessed utilizing equal time frames. RESULTS: The mean age of seizure onset was 5.4 years. Engel I was achieved in 5 patients at 6 months (71.4%). Engel at 1 year was predicted by the Engel at 6 months (p=0.013) with a similar number of patients being classified as Engel I outcome. Engel at 2 years was also predicted by Engel at 6 months and at 1 year (p=0.030). At end follow-up only 3 patients (42.9%) remained categorized as Engel I outcome. There was a trend toward a stability in Engel classification. All patients with developmental causes for their epilepsy experienced some deterioration of the surgical outcomes. Conversely, all patients with acquired causes were stable throughout follow-up. Seizure outcome at 6 months was worse in the patients who had post-op complications (p=0.044). Adult and pediatric populations did not differ significantly in any tested variable. CONCLUSIONS: Hemispherectomy is a valuable resource for seizure control in properly selected patients. Engel patient's evolution could be predicted at 6 months interval. Hemispherectomy could be considered a useful attitude in difficult cases.

Mesial Temporal Lobe Epilepsy (MTLE) Drug-Refractoriness Is Associated With P2X7 Receptors Overexpression in the Human Hippocampus and Temporal Neocortex and May Be Predicted by Low Circulating Levels of miR-22.

Objective: ATP-gated ionotropic P2X7 receptors (P2X7R) actively participate in epilepsy and other neurological disorders. Neocortical nerve terminals of patients with Mesial Temporal Lobe Epilepsy with Hippocampal Sclerosis (MTLE-HS) express higher P2X7R amounts. Overexpression of P2X7R bolsters ATP signals during seizures resulting in glial cell activation, cytokines production, and GABAergic rundown with unrestrained glutamatergic excitation. In a mouse model of status epilepticus, increased expression of P2X7R has been associated with the down-modulation of the non-coding micro RNA, miR-22. MiR levels are stable in biological fluids and normally reflect remote tissue production making them ideal disease biomarkers. Here, we compared P2X7R and miR-22 expression in epileptic brains and in the serum of patients with MTLE-HS, respectively. Methods: Quantitative RT-PCR was used to evaluate the expression of P2X7R in the hippocampus and anterior temporal lobe of 23 patients with MTLE-HS and 10 cadaveric controls. Confocal microscopy and Western blot analysis were performed to assess P2X7R protein amounts. MiR-22 expression was evaluated in cell-free sera of 40 MTLE-HS patients and 48 healthy controls. Results: Nerve terminals of the hippocampus and neocortical temporal lobe of MTLE-HS patients overexpress (p < 0.05) an 85 kDa P2X7R protein whereas the normally occurring 67 kDa receptor protein dominates in the brain of the cadaveric controls. Contrariwise, miR-22 serum levels are diminished (p < 0.001) in MTLE-HS patients compared to age-matched control blood donors, a situation that is more evident in patients requiring multiple (>3) anti-epileptic drug (AED) regimens. Conclusion: Data show that there is an inverse relationship between miR-22 serum levels and P2X7R expression in the hippocampus and neocortex of MTLE-HS patients, which implies that measuring serum miR-22 may be a clinical surrogate of P2X7R brain expression in the MTLE-HS. Moreover, the high area under the ROC curve (0.777; 95% CI 0.629-0.925; p = 0.001) suggests that low miR-22 serum levels may be a sensitive predictor of poor response to AEDs among MTLE-HS patients. Results also anticipate that targeting the miR-22/P2X7R axis may be a good strategy to develop newer AEDs.

Data-Driven Phenotyping of Central Disorders of Hypersomnolence With Unsupervised Clustering.

BACKGROUND AND OBJECTIVES: Recent studies fueled doubts as to whether all currently defined central disorders of hypersomnolence are stable entities, especially narcolepsy type 2 and idiopathic hypersomnia. New reliable biomarkers are needed, and the question arises of whether current diagnostic criteria of hypersomnolence disorders should be reassessed. The main aim of this data-driven observational study was to see whether data-driven algorithms would segregate narcolepsy type 1 and identify more reliable subgrouping of individuals without cataplexy with new clinical biomarkers. METHODS: We used agglomerative hierarchical clustering, an unsupervised machine learning algorithm, to identify distinct hypersomnolence clusters in the large-scale European Narcolepsy Network database. We included 97 variables, covering all aspects of central hypersomnolence disorders such as symptoms, demographics, objective and subjective sleep measures, and laboratory biomarkers. We specifically focused on subgrouping of patients without cataplexy. The number of clusters was chosen to be the minimal number for which patients without cataplexy were put in distinct groups. RESULTS: We included 1,078 unmedicated adolescents and adults. Seven clusters were identified, of which 4 clusters included predominantly individuals with cataplexy. The 2 most distinct clusters consisted of 158 and 157 patients, were dominated by those without cataplexy, and among other variables, significantly differed in presence of sleep drunkenness, subjective difficulty awakening, and weekend-week sleep length difference. Patients formally diagnosed as having narcolepsy type 2 and idiopathic hypersomnia were evenly mixed in these 2 clusters. DISCUSSION: Using a data-driven approach in the largest study on central disorders of hypersomnolence to date, our study identified distinct patient subgroups within the central disorders of hypersomnolence population. Our results contest inclusion of sleep-onset REM periods in diagnostic criteria for people without cataplexy and provide promising new variables for reliable diagnostic categories that better resemble different patient phenotypes. Cluster-guided classification will result in a more solid hypersomnolence classification system that is less vulnerable to instability of single features.

Long term outcome of functional hemispherectomy for refractory epilepsy: Experience from a single center.

BACKGROUND: Hemispherectomy has an established role as a treatment of last resort in patients with unilateral hemispheric lesions suffering from refractory epilepsy. METHODS: Seven patients were evaluated at our Epilepsy Unit. We compared the seizure outcome at 6 months, 1, 2, 5 years post-surgery, as well as at end follow-up (mean 7.1 years) using Engel classification. Reduction of antiepileptic drugs (AEDs) was also assessed utilizing equal time frames. RESULTS: The mean age of seizure onset was 5.4 years. Engel I was achieved in 5 patients at 6 months (71.4%). Engel at 1 year was predicted by the Engel at 6 months (p=0.013) with a similar number of patients being classified as Engel I outcome. Engel at 2 years was also predicted by Engel at 6 months and at 1 year (p=0.030). At end follow-up only 3 patients (42.9%) remained categorized as Engel I outcome. There was a trend toward a stability in Engel classification. All patients with developmental causes for their epilepsy experienced some deterioration of the surgical outcomes. Conversely, all patients with acquired causes were stable throughout follow-up. Seizure outcome at 6 months was worse in the patients who had post-op complications (p=0.044). Adult and pediatric populations did not differ significantly in any tested variable. CONCLUSIONS: Hemispherectomy is a valuable resource for seizure control in properly selected patients. Engel patient's evolution could be predicted at 6 months interval. Hemispherectomy could be considered a useful attitude in difficult cases.

Standardized computer-based organized reporting of EEG: SCORE - Second version.

Standardized terminology for computer-based assessment and reporting of EEG has been previously developed in Europe. The International Federation of Clinical Neurophysiology established a taskforce in 2013 to develop this further, and to reach international consensus. This work resulted in the second, revised version of SCORE (Standardized Computer-based Organized Reporting of EEG), which is presented in this paper. The revised terminology was implemented in a software package (SCORE EEG), which was tested in clinical practice on 12,160 EEG recordings. Standardized terms implemented in SCORE are used to report the features of clinical relevance, extracted while assessing the EEGs. Selection of the terms is context sensitive: initial choices determine the subsequently presented sets of additional choices. This process automatically generates a report and feeds these features into a database. In the end, the diagnostic significance is scored, using a standardized list of terms. SCORE has specific modules for scoring seizures (including seizure semiology and ictal EEG patterns), neonatal recordings (including features specific for this age group), and for Critical Care EEG Terminology. SCORE is a useful clinical tool, with potential impact on clinical care, quality assurance, data-sharing, research and education.

Hypersomnia in Whipple disease: case report.

Whipple disease (WD) is a rare systemic infection caused by Tropheryma whippelii. Neurological involvement has been recognised in 40% of patients, either as initial manifestations or during the course of the disease. We report on a 45 years-old man with WD with initial, persistent and irresistible episodes of daytime somnolence. The patient was HLA-DQB1*0602 positive (genetic marker for narcolepsy). WD diagnosis was suspected on clinical and MRI basis and confirmed by histological and immunohistochemical study of duodenal biopsy. Forty months later all clinical features improved, narcoleptic-like episodes disappeared and cerebral MRI and CSF normalised. Longitudinal neurophysiological studies revealed persistent sleep pattern abnormalities with sleep fragmentation, paucity of slow wave and of REM sleep. The disruption of the hypocretin circuitry in the hypothalamic - diencephalic region triggered by the infection was the probable cause of the hypersomnia and narcopleptic symptoms. WD should be added to the list of causes of secondary hypersomnia.

Obstructive sleep apnoea syndrome and HLA in the North of Portugal.

INTRODUCTION: The obstructive sleep apnoea syndrome (OSAS) is a common, complex and polygenic disease with diverse aetiologies interacting to produce a single phenotype. OSAS occurs throughout the entire lifespan and familial aggregation has been suggested. Several predisposing factors, as age, gender and obesity have been described. Associations between HLA polymorphisms and sleep disorders are confirmed, in European and Non-European descendent populations. However the associations found between HLA alleles and OSAS have not been consistent and have no informative value for sleep disorder classification. AIMS: To explore the genetic association of HLA with OSAS in a northern Portuguese population and to evaluate the role of obesity in the context of HLA in OSAS. PATIENTS AND METHODS: A cohort of 131 patients with OSAS was studied. Patients followed up in an Outpatient Sleep Clinic were assessed by clinical history, night sleep polygraphic recording, multiple sleep latency test (when necessary for differential diagnosis), laboratorial and demographic studies. A control population (CP) of 223 healthy individuals was used for comparison. HLA-DRB1 genotyping was performed using a polymerase chain reaction with sequence specific primers methodology. RESULTS: In this cohort, the HLA-DRB1*03 allele was identified as a susceptibility factor for OSAS (24% OSAS vs. 15% CP; p = 0.025; odds ratio = 1.861; 95% CI = 1.081-3.205). No significant differences were found for other HLA-DBR1* alleles. CONCLUSION: HLA-DRB1*03 is a susceptibility factor for OSAS in Portuguese population.

TITLE: Sindrome de apnea obstructiva del sueño y HLA en el norte de Portugal.Introduccion. El sindrome de apnea obstructiva del sueño (SAOS) es una enfermedad frecuente, compleja y poligenica, con diversas etiologias que interaccionan originando un fenotipo unico. El SAOS puede ocurrir a cualquier edad del individuo y se presume la existencia de agregacion familiar. Han sido descritos diversos factores de predisposicion, como la edad, el sexo y la obesidad. La relacion entre los polimorfismos del antigeno leucocitario humano (HLA) y trastornos del sueño esta confirmada, tanto en poblaciones europeas como no europeas. No obstante, las relaciones descritas entre los alelos HLA y SAOS no han sido coherentes y carecen de valor informativo para la clasificacion del trastorno del sueño. Objetivo. Explorar la asociacion genetica del HLA con el SAOS en una poblacion del norte de Portugal y evaluar el papel de la obesidad en el contexto del HLA en el SAOS. Pacientes y metodos. Se estudio una cohorte de 131 pacientes con SAOS. Los pacientes fueron atendidos en una clinica del sueño ambulatoria donde se valoraron los antecedentes clinicos, se les practico una polisomnografia nocturna, una prueba de latencia multiple del sueño (si lo exigio el diagnostico diferencial), analiticas y estudios demograficos. A efectos comparativos, se utilizo una poblacion de control de 223 personas sanas. Se efectuo el genotipado del HLA-DRB1 con la reaccion en cadena de la polimerasa mediante cebadores de secuencia especifica. Resultados. En esta cohorte, el alelo HLA-DRB1*03 fue identificado como un factor de predisposicion para el SAOS (24% del SAOS frente a 15% de la poblacion de control; p = 0,025; odds ratio = 1,861; intervalo de confianza al 95% = 1,081-3,205). No hubo diferencias significativas en lo referente a otros alelos HLA-DBR1*. Conclusion. El HLA-DRB1*03 es un factor de predisposicion para el SAOS en la poblacion portuguesa.

Movement quantification in epileptic seizures: a new approach to video-EEG analysis.

It is common that epileptic seizures induce uncoordinated movement in a patient's body. This movement is a relevant clinical factor in seizure identification. Nevertheless, quantification of this information has not been an object of much attention from the scientific community. In this paper, we present our effort in developing a new approach to the quantification of movement patterns in patients during epileptic seizures. We attach markers at landmark points of a patient's body and use a camera and a commercial video-electroencephalogram (EEG) system to synchronously register EEG and video during seizures. Then, we apply image-processing techniques to analyze the video frames and extract the trajectories of those points that represent the course of the quantified movement of different body parts. This information may help clinicians in seizure classification. We describe the framework of our system and a method of analyzing video in order to achieve the proposed goal. Our experimental results show that our method can reflect quantified motion patterns of epileptic seizures, which cannot be accessed by means of traditional visual inspection of video recordings. We were able, for the first time, to quantify the movement of different parts of a convulsive human body in the course of an epileptic seizure. This result represents an enhanced value to clinicians in studying seizures for reaching a diagnosis.

The reliability of a functional agility test for water polo.

Few functional agility tests for water polo take into consideration its specific characteristics. The preliminary objective of this study was to evaluate the reliability of an agility test for water polo players. Fifteen players (16.3 ± 1.8 years old) with a minimum of two years of competitive experience were evaluated. A Functional Test for Agility Performance (FTAP) was designed to represent the context of this sport. Several trials were performed to familiarize the athlete with the movement. Two experienced coaches measured three repetitions of the FTAP. Descriptive statistics, repeated measures analysis of variance (ANOVA), 95% limit of agreement (LOA), intraclass correlation coefficient (ICC) and standard error of measurements (SEM) were used for data analysis. It was considered that certain criteria of reliability measures were met. There was no significant difference between the repetitions, which may be explained by an effect of the evaluator, the ability of the players or fatigue (p > 0.05). The ICC average from evaluators was high (0.88). The SEM varied between 0.13 s and 0.49 s. The CV average considering each individual was near 6-7%. These values depended on the condition of measurement. As the FTAP contains some characteristics that create a degree of unpredictability, the same athlete may reach different performance results, increasing variability. An adjustment in the sample, familiarization and careful selection of subjects help to improve this situation and enhance the reliability of the indicators.