Heidi Danker-Hopfe

Time-of-day variations of indicators of attention: performance, physiologic parameters, and self-assessment of sleepiness

BACKGROUND A study was performed to analyze time-of-day variations of different indicators of attention and their interrelations. METHODS After a sufficiently long all-night sleep 12 healthy non-sleep-deprived subjects ran through a test battery (Stanford Sleepiness Scale, Visual Analogue Scale, Critical Flicker Fusion Test [CFF], Visualization Test, Number Facility Test, Reaction Time, Pupillometry, and modified Multiple Sleep Latency Test) every 2 hours from 7:00 AM until 11:00 PM. Time-of-day variations were tested nonparametrically with Friedmans test for repeated measurements. Principal component factor analysis (of individually standardized values) was used to identify variable complexes with the same pattern of time-of-day variation. RESULTS Statistically significant time-of-day variations were found for all variables, except for Fusion Frequency in CFF and Reaction Time. In factor analysis the physiologic parameters (pupillometric variables and sleep latencies) load on one factor, whereas the self-assessment scales, the Visualization Test, Number Faculty Test, and CFF load on the second factor. The variables that load primarily on factor 1 show peak levels of alertness immediately after getting up (at 7:00 AM) and again at 9:00 PM. Those variables that load primarily on factor 2 indicate a peak level of alertness around noon (11:00 AM-3:00 PM). CONCLUSIONS Different aspects of attention follow different time-of-day variations. It is discussed, that these findings can be attributed to underlying circadian and homeostatic factors.

Time-of-day variations in different measures of sleepiness (MSLT, pupillography, and SSS) and their interrelations

The aim of the present study is to analyze how well physiological measures of sleepiness derived from pupillography and the Multiple Sleep Latency Test correlate with a subjective measure, the Stanford Sleepiness Scale (SSS) score. The results are based on data from 12 healthy participants, who underwent these tests every 2 hr from 7:00 a.m. until 11:00 p.m. Sleep latencies were correlated with four different variables derived from pupillography and the SSS score. The results indicate that the physiologically based variables correspond very well. This is reflected by similar patterns of time-of-day variations, a good agreement at the group level, and correlations at the individual level, whereas the SSS shows a quite different pattern of variation. The two physiological measures of sleepiness seem to reflect the same aspect of the level of tonic central nervous activation, which is not correlated with the subjective feeling of sleepiness.

P300 and symptom improvement in schizophrenia.

Abstract.Rationale: A reduced amplitude of the auditory evoked P300 was interpreted as a trait marker of schizophrenia but reports about correlations between schizophrenic psychopathology and P300 amplitude indicate also a state character. Objectives: To shed light upon these trait and state aspects a longitudinal study was performed to investigate the influence of symptom improvement and atypical neuroleptics on the amplitudes of the P300 and their subcomponents. Methods: P300 was recorded in 17 schizophrenic patients before and after 4 weeks under either clozapine or olanzapine in a double-blind controlled design. For comparison, 17 age- and sex-matched healthy subjects were investigated. Parietal and frontal P300 subcomponents were investigated separately using dipole source analysis. Results: Schizophrenic patients had smaller parietal (temporo-basal dipole) but not frontal subcomponent amplitudes (temporo-superior dipole) than controls. For the whole sample subcomponent amplitudes did not change over 4 weeks despite clinical improvement but patients with a pronounced improvement of the PANSS positive score showed a slight enhancement of both subcomponents. This was not significant when the P300 amplitude was measured at a single electrode (Pz). No significant difference between clozapine and olanzapine concerning effects on P300 amplitudes were observed. Conclusions: The results indicate that P300 subcomponents are modulated by changes of positive but not by changes of negative symptoms or different neuroleptics. This result was obvious for P300 subcomponents but not for Pz electrode measurement, which may be due to a higher reliability of the dipole source activity. The results can be integrated into a hypothetical model containing two pathophysiological subgroups of schizophrenia.

Nerve growth factor serum concentrations in healthy human volunteers: physiological variance and stability

Human nerve growth factor (NGF) serum concentrations were measured in a healthy sample of 126 participants by a modified highly sensitive and specific two-site enzyme immunoassay. The measured NGF concentrations differ considerably from a normal distribution. The median NGF concentration was 19.68 pg/ml with an interquartile range of 11.06-41.74 pg/ml, which means that 50% of the NGF levels are in this range. In our healthy sample, we found no gender differences but a slight age-related decrease of NGF (r=-0.1326, P=0.1560). Moreover intraindividual stability of NGF was examined in ten volunteers, where no significant changes of serum NGF concentrations were detected over 4 weeks. This stability of our repetitive measurements over 4 weeks suggests that this neurotrophin may be an intraindividually solid marker at least in human serum.

Schlaflos durch Mobilfunk

Wirken sich hochfrequente elektromagnetische Felder — insbesondere im Zusammenhang mit Mobilfunk — auf den Schlaf aus? Was sagen dazu die Ergebnisse experimenteller und epidemiologischer Studien? Antworten auf diese Fragen gibt dieser Beitrag. Er fasst den aktuellen Forschungsstand zusammen.