![]() ![]() Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications. Multicenter clinical assessment of improved wearable multimodal convulsive seizure detectors. ![]() Detection of generalized tonic–clonic seizures using surface electromyographic monitoring. Signal quality and patient experience with wearable devices for epilepsy management. Advancing neuroscience through wearable devices. A forward-looking review of seizure prediction. Retrospective study that used an online, self-reported seizure diary (“Seizure Tracker”) to show the high prevalence of circadian cycles across epilepsy syndromes and identify patients who have an influence of calendar days on reported seizures.įreestone, D. Circadian and circaseptan rhythms in human epilepsy: a retrospective cohort study. Diagnostic challenges in epilepsy: seizure under-reporting and seizure detection. Epilepsy: accuracy of patient seizure counts. Seizure diaries for clinical research and practice: limitations and future prospects. Seizure detection devices and health-related quality of life: a patient- and caregiver-centered evaluation. Temporal distribution of clinical seizures over the 24-h day: a retrospective observational study in a tertiary epilepsy clinic. Distribution of partial seizures during the sleep–wake cycle: differences by seizure onset site. The electro-encephalogram in epilepsy and in conditions of impaired consciousness. fur Psychiatrie und Nervenkrankheiten 87, 527–570 (1929). Uber das Elektrenkephalogramm des Menschen. Confirmatory study in the Utica epilepsy colony showing circadian peak seizure times in nocturnal and diurnal epilepsies.īerger, H. The relationship of time of day, sleep and other factors to the incidence of epileptic seizures. Landmark study in the Lingfield epilepsy colony that confirmed circadian peak seizure times and described multidien cycles of seizures with patient-specific periodicity. Epilepsy: its symptoms, treatment, and relation to other chronic convulsive diseases. Landmark study in the Lingfield epilepsy colony that revealed circadian peak seizure times in nocturnal and diurnal epilepsies. Time of day in relation to convulsions in epilepsy. Epilepsy and other chronic convulsive diseases: their causes, symptoms, & treatment. De l’étiologie de l’épilepsie: et des indications que l’étude des causes peut fournir pour le traitement de cette maladie 94 (Bailliere, 1854). Tome Douzième Contenant le Traité de l’epilepsie (Chez Francois Grasset & Comp., 1784).Įcheverria, M. Œuvres de Monsieur Tissot, Nouvelle Édition. A treatise concerning the influence of the sun and moon upon human bodies, and the diseases thereby produced 36–47 (J. The falling sickness: a history of epilepsy from the Greeks to the beginnings of modern neurology (The Johns Hopkins University Press, 1994). Landmark historical study that revealed periodicity in seizure diaries kept by patients. The periodic features of some seizure states. Translation and analysis of a cuneiform text forming part of a Babylonian treatise on epilepsy. In essence, this Review addresses the broad question of why seizures occur when they occur. The potential clinical applications of a knowledge of cycles in epilepsy, including seizure forecasting and chronotherapy, are discussed in the context of the emerging concept of seizure risk. We discuss advances in our understanding of the mechanistic underpinnings of these cycles and highlight the knowledge gaps that remain. Here, we review this evidence, synthesizing data from historical observational studies, modern implanted devices, electronic seizure diaries and laboratory-based animal neurophysiology. Chronic recordings of brain activity in humans and in animals have yielded converging evidence for the existence of cycles of epileptic brain activity that operate over diverse timescales: daily (circadian), multi-day (multidien) and yearly (circannual). Observations that seizures are cyclical date back to antiquity, but recent technological advances have, for the first time, enabled cycles of seizure occurrence to be quantitatively characterized with direct brain recordings. A canonical view holds that seizures, the characteristic sign of epilepsy, occur at random, but, for centuries, humans have looked for patterns of temporal organization in seizure occurrence. Epilepsy is among the most dynamic disorders in neurology.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |