Biomedical subjects

Peter Boeijinga

Publications and source records attributed to Peter Boeijinga.

3 recordsLinked to original sources

PubMed2006

Effects of acamprosate on sleep during alcohol withdrawal: A double-blind placebo-controlled polysomnographic study in alcohol-dependent subjects.

BACKGROUND: Sleep disturbances are frequently encountered in alcohol-dependent patients. Drugs improving sleep during abstinence from alcohol may play an important role in the recovery process. METHODS: In the present study, the effects of acamprosate, a drug successfully used in maintaining abstinence following alcohol withdrawal, were assessed by polysomnographic recordings. A parallel double-blind placebo-controlled study was conducted in 24 male DSM-IV alcohol-dependent subjects aged 35.9+/-1.2 years. Treatments (2 tablets of 333 mg acamprosate vs placebo t.i.d.) were initiated 8 days before alcohol withdrawal and continued during the 15 days following alcohol withdrawal. Polysomnographic assessments were recorded during acute withdrawal (the first 2 nights following withdrawal) and during postwithdrawal abstinence (the last 2 nights of the trial). RESULTS: Results show that, compared with placebo, acamprosate decreased wake time after sleep onset and increased stage 3 and REM sleep latency (all treatment effects with a p < 0.05 significance). Withdrawal effects themselves were also demonstrated as sleep efficiency (p < 0.01) and total sleep time (p < 0.05) were lower in abstinence nights versus withdrawal nights, whereas no significant treatment x withdrawal effect could be evidenced. Acamprosate was well tolerated during the entire course of the study. CONCLUSIONS: The present study shows that acamprosate ameliorates both sleep continuity and sleep architecture parameters classically described as disturbed in alcohol-dependent patients. From a clinical perspective, it suggests that an 8-day acamprosate prewithdrawal treatment is well tolerated and can attenuate the sleep disturbances engendered by alcohol withdrawal in alcohol-dependent subjects.

Acamprosate↗

PubMed2005

Next-day residual effects of hypnotics in DSM-IV primary insomnia: a driving simulator study with simultaneous electroencephalogram monitoring.

RATIONALE: Most studies that investigated the next-day residual effects of hypnotic drugs on daytime driving performances were performed on healthy subjects and after a single drug administration. OBJECTIVES: In the present study, we further examine whether the results of these studies could be generalised to insomniac patients and after repeated drug administration. METHOD: Single and repeated (7 day) doses of zolpidem (10 mg), zopiclone (7.5 mg), lormetazepam (1 mg) or placebo were administered at bedtime in a crossover design to 23 patients (9 men and 14 women aged 38.8+/-2.0 years) with Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) primary insomnia. Driving tests were performed 9-11 h post-dose. RESULTS: Results showed that treatment effects were evidenced for subjective sleep, for driving abilities, and for electroencephalogram (EEG) recorded before (resting EEG) and during the driving simulation test (driving EEG). Compared to placebo, zopiclone increased the number of collisions and lormetazepam increased deviation from speed limit and deviation from absolute speed, whereas zolpidem did not differentiate from placebo on these analyses. EEG recordings showed that in contrast to zolpidem, lormetazepam and zopiclone induced typical benzodiazepine-like alterations, suggesting that next-day poor driving performance could relate to a prolonged central nervous system effect of these two hypnotics. CONCLUSION: The present results corroborate studies on healthy volunteers showing that residual effects of hypnotics increase with their half-lives. The results further suggest that drugs preserving physiological EEG rhythms before and during the driving simulation test 9-11 h post-dose, such as zolpidem, do not influence next-day driving abilities.

Adult↗

PubMed2002

EEG source identification: frequency analysis during sleep.

This article deals with a new approach in sleep characterization that combines EEG source localisation methods with standard frequency analysis of multielectrode EEGs. First, we describe the theoretical methodology and the benefits that we get from a three-dimensional image (LORETA) of the cerebral activity related to a frequency band. Then, this new application is used as signal-processing technique on sleep EEG recordings obtained from young male adults using four frequency bands (delta 0.5-3.5 Hz, theta 4.0-7.5 Hz, alpha 8.0-12.5 Hz and beta 13.0-32.0 Hz) in different sleep stages. Finally, we show that the obtained results are highly consistent with other physiological assessments (standard EEG mapping, functional magnetic resonance imaging, etc.), but give us more realistic additional information on the generators of electromagnetic cerebral activity.

Adult↗