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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., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)

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., (© 2020 International League Against Epilepsy.)

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., (Copyright © 2019 Elsevier Inc. All rights reserved.)

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., (Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)

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., (© 2016 European Sleep Research Society.)

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.

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., (Wiley Periodicals, Inc. © 2011 International League Against Epilepsy.)

Quality of life (QOL) is an important clinical endpoint, but it remarkably varies in patients with similar neurological conditions. This study explored the role of spirituality (i.e., the complex of personal transcendence, connectedness, purpose, and values) in determining QOL in chronic neurological disorders.~Seventy-two patients with epilepsy, brain tumours or ischemic or immune-mediate brain damage compiled inventories for QOL (WHOQOL 100), spirituality (Spiritual, Religious and Personal Beliefs, WHOSRPB), depression (Beck Depression Inventory, BDI), anxiety (State-Trait Anxiety Inventory, STAI), and cognitive self-efficacy (Multiple Ability Self-Report Questionnaire, MASQ) and underwent neuropsychological testing. With respect to 45 healthy controls, the patients reported worse QOL, with no difference between the four patient subgroups. Factor analyses of the WHOSRPB, STAI, and BDI scores and of the MASQ and neuropsychological test scores yielded four (Personal Meaning, Inner Energy, Awe and Openness, Mood) and three factors (Control Functions, Cognition, Memory), respectively. Mood, Cognition, Inner Energy, schooling, and subjective health status correlated with the WHOQOL scores, but at regression analysis only Mood and Inner Energy predicted QOL. This suggests that spirituality, as a personal dimension distinct from mood, contributes to determine QOL. A multidimensional assessment of QOL, including personal facets, may explain differences between patients with chronic neurological disorders.