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Biomedical subjects

Waldemar Szelenberger

Publications and source records attributed to Waldemar Szelenberger.

9 recordsLinked to original sources

Explicit parameterization of sleep EEG transients.

Adaptive time-frequency approximations, implemented via the matching pursuit algorithm, offer description of local signals structures in terms of their time occurrence and width, frequency and amplitude. This allows to construct explicit filters for finding EEG waveforms, known from the visual analysis, in the matching pursuit decomposition of signals. In such a way detectors of relevant structures of both transient and oscillatory nature can be constructed in the space of physically meaningful parameters. This study presents evaluation of changes of power and frequency of sleep spindles and delta waves, related to the depth of the sleep, which were previously assessed in a qualitative way. We confirm quantitatively the decrease of frequencies of sleep spindles and delta waves with the depth of the sleep.

Algorithms↗

Characterization of insomnia in patients with essential hypertension.

INTRODUCTION: Insomnia may increase risk of cardiovascular events. There is little data available reporting the prevalence and clinical relevance of insomnia in patients with essential hypertension. Therefore, the aim of the study was to investigate the relationship between insomnia and different clinical and biochemical parameters in essential hypertension patients. METHODS: Four hundred and thirty-two patients (mean age 47+/-13 years; 253 male, 179 female) with essential hypertension were screened for insomnia using the athens Insomnia Scale (AIS). Several variables including age, sex, known duration of hypertension, body mass index, creatinine, left ventricular mass index, coexisting disorders, smoking status and alcohol use were analysed. Twenty-four-hour ambulatory blood pressure measurements (ABPM) were performed. RESULTS: Among patients included in the study, 207 subjects (mean age: 49+/-13 years; 47.9%) had an AIS score of 15 or higher and were identified as insomniacs. Insomnia was more frequent in women than in men (60.9% vs 38.7%, p<0.001) and was reported more frequently in patients with coronary artery disease. Subjects with insomnia were older and had longer duration of hypertension. There were no differences between insomniacs and non-insomniacs in ABPM parameters. A relationship was found between the number of antihypertensive drugs and insomnia frequency. There were correlation between AIS score and age (r=0.21; p<0.001) and duration of hypertension (r=0.22; p<0.001). In the sub-group of untreated essential hypertension patients, there were negative correlations between AIS score and night fall in systolic and diastolic blood pressure. CONCLUSION: Our results showed that insomnia is common in patients with essential hypertension and indicate an association between insomnia and gender, known duration of hypertension and number of hypertensive drugs taken. Untreated essential hypertension insomniacs were characterized by less pronounced nocturnal fall in both systolic and diastolic blood pressure compared with non-insomniacs.

Adult↗

High resolution parametric description of slow wave sleep.

We propose a new framework for quantitative analysis of sleep EEG, compatible with the traditional analysis, based upon adaptive time-frequency approximation of signals. Using a high resolution description of EEG rhythms and transients in terms of their time occurrence and width, frequency and amplitude, we present a detailed detection and parameterization of delta waves, including also the time occupied by each delta wave-a parameter inaccessible directly by previously applied signal processing methods. To validate the proposed parameterization, we construct a simple detector of sleep stages 3 and 4, based explicitly upon the classical criteria related to delta waves. To properly compare its performance to the inter-expert agreements and other expert systems, we sort out and discuss the methodology of reporting concordance in this context. Since the proposed parameterization proves to be compatible with the visual analysis of EEG, we can derive new variables for quantitative analysis of EEG patterns recognized for decades. As examples, we present a continuous description of delta waves and sleep spindles in the overnight sleep, and compare results to the traditional FFT-based estimates.

Adult↗

Sleepwalking and night terrors: psychopathological and psychophysiological correlates.

Sleepwalking and night terrors are considered to be manifestations of the same nosologic continuum. It has been proposed that a sudden arousal from non-rapid eye movement (NREM) sleep is the cause of these disorders. Benign forms of NREM arousal parasomnias occur frequently in childhood and attenuate in teen years; however, they can persist into or begin in adulthood. The available literature documents high levels of psychopathology in adult patients. Sleepwalking and night terrors are most likely to manifest during the first episode of slow wave sleep, but may also appear any time during NREM sleep. The hypersynchronous delta activity, previously considered to be a hallmark of somnambulism, has proven to be unspecific. Post-arousal EEG activity reveals altered consciousness during sleepwalking and sleep terror episodes. Pathophysiology of NREM arousal parasomnias consists of predisposing factors, which may be a genetically determined tendency for deep sleep, facilitating factors which deepen sleep and increase slow wave sleep, and triggering factors which increase sleep fragmentation, such as stress, environmental or endogenous stimuli, and stimulants. Recently published data on low delta power in the first sleep cycle and slow decline of delta power in successive sleep cycles suggest a chronic inability to sustain slow wave sleep.

Electroencephalography↗

Increased prefrontal event-related current density after sleep deprivation.

To investigate how partial sleep loss affects temporal and spatial pattern of information flow, we analyzed sources of brain electrical activity during continuous attention test. Sixteen physicians recruited from the university hospitals participated in the study. Each participant served as his own control. All participants underwent two test sessions including the Stanford Sleepiness Scale (SSS), the Beck Depression Inventory (BDI), the Selective Reminding Test (SRT), and the Continuous Attention Test (CAT). The CAT items were used as stimuli in event-related potential (ERP) recordings. EEG was recorded from 21 electrodes, according to the international 10-20 system. The sources of bioelectrical activity were computed with low resolution electromagnetic tomography (LORETA). Estimated sleep time was significantly shorter on nights spent on duty than on nights of normal sleep at home. Sleep loss resulted in significant increase in SSS and BDI scoring, and impairment of immediate recall. Performance on the CAT remained relatively intact. Under the sleep loss condition compared to baseline, significant differences in brain activity occurred only for targets. Within the P1 time frame, sleep loss led to greater activation in the right Brodmann's area 9/10. For the N1 component, significant differences were localized on the lateral surface of the right frontal lobe, in Brodmann's areas 8 and 9. No significant effects of sleep deprivation on the P3 component were found. Our results are consistent with earlier data indicating that increased activation of the prefrontal cortex allows the maintainance of performance during periods of sleep loss.

Adult↗

Sleep disorders in psychiatric practice.

Over the last years, a large body of evidence has accumulated showing that complaints of disordered sleep are quite prevalent in the community. Insomnia is by far the most common disturbance and is often associated with concurrent psychiatric illness, in particular anxiety and mood disorders. On the other hand, sleep complaints are frequently present among psychiatric patients and have been incorporated in the official diagnostic criteria for many mental disorders, such as major depression, post-traumatic stress disorder, generalized anxiety disorder and substance-related disorders. Estimates of the prevalence of sleep disorders diverge widely, because these disorders have been variously conceptualized. Currently, however, three different classifications for sleep disorders establish reliable diagnostic criteria and allow for more consistency in clinical research. In particular, the ICD-10 diagnostic criteria for insomnia helped to establish a consensus among sleep specialists by defining accurately this clinical condition, i.e. by conceptualizing it as the subjective complaint of insufficient or non-restorative sleep, which is the important feature, not the actual amount of time spent asleep. Alongside the evolution of taxonomic systems, the development of specific diagnostic tools, such as rating scales for measuring clinical manifestations of sleep disorders, has contributed significantly to the growth in the field. For instance, the risk factors responsible for the development of chronic insomnia, its consequences, and the complex relationship between insomnia and psychopathology, have been considerably clarified. In terms of the polysomnographic aberrations observed in various mental disorders, these, although proven not to be pathognomonic for any of them, have been considerably refined over the last decade, and certain general sleep patterns for some specific disorders have emerged. Finally, substantial advances have been made in the elucidation of the neuropsychobiological substrate of disturbed sleep. Thus, hyperarousal has been identified as the cardinal feature of chronic insomnia, which is associated with an around-the-clock activation of both major components of the stress system, the hypothalamic-pituitary-adrenal axis and the sympathetic nervous system.

Journal Article↗

Adaptive time-frequency parametrization in pharmaco EEG.

Adaptive time-frequency approximations offer description of the local structures of a signal in terms of their time and frequency coordinates, widths and amplitudes. These parameters can then be used to select and study electroencephalogram (EEG) structures like sleep spindles or slow wave activity (SWA) with high resolution. Such a detailed description of relevant structures improves on the sensitivity of the traditionally used spectral power estimates and opens new possibilities of investigation. These advantages are illustrated using a double-blind test of the influence of zolpidem and midazolam on sleep EEG, and the results are compared with the traditional approach. The observed decrease of frequency of the SWA under the influence of sleep-inducing drugs gives an example of an effect elusive to classical methodology.

Action Potentials↗