32 resultados para Sleep EEG

em Aston University Research Archive


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Objective: It is investigated to which extent measures of nonlinearity derived from surrogate data analysis are capable to quantify the changes of epileptic activity related to varying vigilance levels. Methods: Surface and intracranial EEG from foramen ovale (FO-)electrodes was recorded from a patient with temporal lobe epilepsy under presurgical evaluation over one night. Different measures of nonlinearity were estimated for non-overlapping 30-s segments for selected channels from surface and intracranial EEG. Additionally spectral measures were calculated. Sleep stages were scored according to Rechtschaffen/Kales and epileptic transients were counted and classified by visual inspection. Results: In the intracranial recordings stronger nonlinearity was found ipsilateral to the epileptogenic focus, more pronounced in NREM sleep, weaker in REM sleep. The dynamics within the NREM episodes varied with the different nonlinearity measures. Some nonlinearity measures showed variations with the sleep cycle also in the intracranial recordings contralateral to the epileptic focus and in the surface EEG. It is shown that the nonlinearity is correlated with short-term fluctuations of the delta power. The higher frequency of occurrence of clinical relevant epileptic spikes in the first NREM episode was not clearly reflected in the nonlinearity measures. Conclusions: It was confirmed that epileptic activity renders the EEG nonlinear. However, it was shown that the sleep dynamics itself also effects the nonlinearity measures. Therefore, at the present stage it is not possible to establish a unique connection between the studied nonlinearity measures and specific types of epileptic activity in sleep EEG recordings.

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Ambulatory EEG recording enables patients with epilepsy and related disorders to be monitored in an unrestricted environment for prolonged periods. Attacks can therefore be recorded and EEG changes at the time can aid diagnosis. The relevant Iiterature is reviewed and a study made of' 250 clinical investigations. A study was also made of the artefacts,encountered during ambulatory recording. Three quarters of referrals were for distinguishing between epileptic and non-epileptic attacks. Over 60% of patients showed no abnormality during attacks. In comparison with the basic EEG the ambulatory EEG provided about ten times as much information. A preliminary follow-up study showed that results, of ambulatory monitoring agreed with the final diagnosis in 8 of 12 patients studied. Of 10 patients referred, for monitoring the occurrence of absence seizures, 8 showed abnormality during the baslcJ EEG .and 10 during the ambulatory EEG. Other patients. were referred: for sleep recording and to clarify the seizure type. An investigation into once daily (OD) versus twice daily administration of sodium valproate in patients with absence seizures showed that an OD regime was equally as effective as a BD regime. Circadian variations in spike and wave activity in patients on and off treatment were also examined. There was significant agreement between subjects on the time of occurrence of abnormality during sleep only, This pattern was not ,affected with treatment nor was there any difference in the daily pattern of occurrence of abnormality between the two regimes. Overall findings suggested that ambulatory monitoring was a valuable tool in the diagnosis and treatment of epilepsy which with careful planning and patient selection could be used in any EEG department and would benefit a:wide range of patients.

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In the present study, multilayer perceptron (MLP) neural networks were applied to help in the diagnosis of obstructive sleep apnoea syndrome (OSAS). Oxygen saturation (SaO2) recordings from nocturnal pulse oximetry were used for this purpose. We performed time and spectral analysis of these signals to extract 14 features related to OSAS. The performance of two different MLP classifiers was compared: maximum likelihood (ML) and Bayesian (BY) MLP networks. A total of 187 subjects suspected of suffering from OSAS took part in the study. Their SaO2 signals were divided into a training set with 74 recordings and a test set with 113 recordings. BY-MLP networks achieved the best performance on the test set with 85.58% accuracy (87.76% sensitivity and 82.39% specificity). These results were substantially better than those provided by ML-MLP networks, which were affected by overfitting and achieved an accuracy of 76.81% (86.42% sensitivity and 62.83% specificity). Our results suggest that the Bayesian framework is preferred to implement our MLP classifiers. The proposed BY-MLP networks could be used for early OSAS detection. They could contribute to overcome the difficulties of nocturnal polysomnography (PSG) and thus reduce the demand for these studies.

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This paper argues that sleep disruption is both a strategy and an effect of violence and abuse which profoundly affects the lives of women and children. This paper traces the interconnections between the patterns of sleeping (not sleeping) for women and children living with and recovering from the effects of violence and abuse. It highlights the threat to the emotional and physical well-being of children and women and provides a non-pathologizing route into an exploration of one of the symptoms of trauma. It is based on a pilot study which interviewed 17 women, 14 of whom were mothers to 28 children. Mothers reported that many of their children experienced nightmares, bed-wetting, night panics and disrupted sleep patterns. Recovery of the ability to sleep was often slow and uneven with interactive effects between women and children slowing progress.

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This article presents a sociological study of sleep issues in the British print news media, with particular focus on the relationship between sleep, work and the changing demands of ‘flexible capitalism’. Drawing on over 1000 newspaper articles from 1984 to 2005, we explore how and why sleep is framed or constructed in terms of continuity and change (in British working life and work cultures) and, equally, viewed as a neglected component of our social lives which is too easily sacrificed to the demands of the 24/7 society, long hours culture and the struggle to create a harmonious work-life balance. This is particularly the case for certain British work cultures in which sleep has conflicting and contrasting associations. Finally, we reflect on the broader class-based discourses and debates that arise from certain workers having their sleep patterns increasingly scrutinized and regulated, and the role of the media in any ensuing sleep/work ‘crisis’.

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In popular British understanding the terms 'sleeping' or 'slept' are often used to mean sex, and (hetero)sex is seen as crucial to sustaining intimate relationships. This study of UK newspapers coverage shows that stories about sieep and sleeping arrangements can be seen to (re)produce heteronormativity through focusing on the (heterosexual) 'marital bed'. The 'marital bed' is constructed as both the physical and symbolic centre of successful heterosexual relationships. Moreover, the maintenance of this symbolic space is gendered with women given primary responsibility. The focus on the 'marital bed' helps to exclude non-heterosexuals from the idea of intimate relationships, by effectively silencing their experiences of sleep and sleeping arrangements. Normative ideas about male and female (hetero)sexualities are drawn on to undermine women's right to refuse sex within the martial bed. In addition, the term 'sleep-sex' is used to reconceptualise stories of rape, minimising the victim's experiences and absolve the perpetrator from full responsibility for the assault. By exploring these articles we can see both how the representation of the organisation of sleep is produced through heteronormativity, as well as how heteronormativity determines whose accounts of sleeping are prioritised. © Sociological Research Online.

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This paper, drawing on our own research findings data, explores the embodiment and embedment of sleeping in children's everyday/night lives. Key themes here include children's attitudes and feelings toward the dormant body, the processes, routines and rituals associated with going to bed and going to sleep, issues associated with bedrooms and privacy, and finally the relationship between dormancy and domicile. This in turn provides the basis, in the remainder of the paper, for a further series of reflections on the mutually informing relations between the sociology of sleep and the sociology of childhood. Remaining questions and challenges involved in researching children's sleep are also considered. Sleep, it is concluded, is not simply a rich and fascinating sociological topic in its own right it also has the potential to shed valuable new light on a significant yet hitherto under-researched part of children's lives, contributing important new insights in doing so.

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Medicalisation, healthicisation and 'personal' strategies have been identified as the main factors contributing to the socially mediated experience of sleep and sleep disorders in modern societies. Medicalisation and healthicisation are publicly available discourses. But the degree to which apparently 'personal' strategies for managing sleep are presented in popular media has been underestimated. This study of the coverage of 5 UK newspapers shows that both medicalised and healthicised discourses are concentrated in the 'serious' press. The tabloid press is more likely to constitute sleep as a private realm and tabloid readers are therefore relatively less exposed to officially sanctioned forms of knowledge about sleep. Analysis of Daily Mail coverage shows, though, that women's 'personal' strategies for managing sleep are far from being private solutions. The Mail presents this topic as a component of its social construction of a 'Middle England' lifestyle, giving these apparently 'personal' solutions a political resonance. © 2007 Elsevier Ltd. All rights reserved.

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Relations between spatial attention and motor intention were investigated by means of an EEG potential elicited by shifting attention to a location in space as well as by the selection of a hand for responding. High-density recordings traced this potential to a common frontoparietal network activated by attentional orienting and by response selection. Within this network, parietal and frontal cortex were activated sequentially, followed by an anterior-to-posterior migration of activity culminating in the lateral occipital cortex. Based on temporal and polarity information provided by EEG, we hypothesize that the frontoparietal activation, evoked by directional information, updates a task-defined preparatory state by deselecting or inhibiting the behavioral option competing with the cued response side or the cued direction of attention. These results from human EEG demonstrate a direct EEG manifestation of the frontoparietal attention network previously identified in functional imaging. EEG reveals the time course of activation within this network and elucidates the generation and function of associated directing-attention EEG potentials. The results emphasize transient activation and a decision-related function of the frontoparietal attention network, contrasting with the sustained preparatory activation that is commonly inferred from neuroimaging.

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We investigated which evoked response component occurring in the first 800 ms after stimulus presentation was most suitable to be used in a classical P300-based brain-computer interface speller protocol. Data was acquired from 275 Magnetoencephalographic sensors in two subjects and from 61 Electroencephalographic sensors in four. To better characterize the evoked physiological responses and minimize the effect of response overlap, a 1000 ms Inter Stimulus Interval was preferred to the short (

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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.

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Our aim was to identify early predictors of poor neurodevelopmental outcome and of subsequent epilepsy in very early preterm and late preterm newborns with neonatal seizures.

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We propose a novel electroencephalographic application of a recently developed cerebral source extraction method (Functional Source Separation, FSS), which starts from extracranial signals and adds a functional constraint to the cost function of a basic independent component analysis model without requiring solutions to be independent. Five ad-hoc functional constraints were used to extract the activity reflecting the temporal sequence of sensory information processing along the somatosensory pathway in response to the separate left and right median nerve galvanic stimulation. Constraints required only the maximization of the responsiveness at specific latencies following sensory stimulation, without taking into account that any frequency or spatial information. After source extraction, the reliability of identified FS was assessed based on the position of single dipoles fitted on its retroprojected signals and on a discrepancy measure. The FS positions were consistent with previously reported data (two early subcortical sources localized in the brain stem and thalamus, the three later sources in cortical areas), leaving negligible residual activity at the corresponding latencies. The high-frequency component of the oscillatory activity (HFO) of the extracted component was analyzed. The integrity of the low amplitude HFOs was preserved for each FS. On the basis of our data, we suggest that FSS can be an effective tool to investigate the HFO behavior of the different neuronal pools, recruited at successive times after median nerve galvanic stimulation. As FSs are reconstructed along the entire experimental session, directional and dynamic HFO synchronization phenomena can be studied.

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Although event-related potentials (ERPs) are widely used to study sensory, perceptual and cognitive processes, it remains unknown whether they are phase-locked signals superimposed upon the ongoing electroencephalogram (EEG) or result from phase-alignment of the EEG. Previous attempts to discriminate between these hypotheses have been unsuccessful but here a new test is presented based on the prediction that ERPs generated by phase-alignment will be associated with event-related changes in frequency whereas evoked-ERPs will not. Using empirical mode decomposition (EMD), which allows measurement of narrow-band changes in the EEG without predefining frequency bands, evidence was found for transient frequency slowing in recognition memory ERPs but not in simulated data derived from the evoked model. Furthermore, the timing of phase-alignment was frequency dependent with the earliest alignment occurring at high frequencies. Based on these findings, the Firefly model was developed, which proposes that both evoked and induced power changes derive from frequency-dependent phase-alignment of the ongoing EEG. Simulated data derived from the Firefly model provided a close match with empirical data and the model was able to account for i) the shape and timing of ERPs at different scalp sites, ii) the event-related desynchronization in alpha and synchronization in theta, and iii) changes in the power density spectrum from the pre-stimulus baseline to the post-stimulus period. The Firefly Model, therefore, provides not only a unifying account of event-related changes in the EEG but also a possible mechanism for cross-frequency information processing.