Retrograde effects of triazolam and zolpidem on sleep-dependent motor learning in humans.

J Sleep Res

Department of Psychiatry, Yale University, 34 Park Street, New Haven, CT 06519, USA.

Published: March 2010

Drugs that act as allosteric activators at the benzodiazepine site of the gamma-aminobutyric acid (GABA(A)) receptor complex are used commonly to treat insomnia but relatively little is known of how such use affects learning and memory. Although anterograde effects on memory acquisition have been shown, possible retrograde effects on consolidation are more relevant when such agents are administered at bedtime. We tested the effects of two GABA(A) allosteric activators on sleep-dependent motor skill memory consolidation in 12 healthy male subjects. Subjects slept in a sleep laboratory for four consecutive nights (one accommodation night followed by three experimental nights). Placebo, triazolam 0.375 mg, and zolpidem 10 mg were given to each subject in counterbalanced order on the experimental nights. Polysomnographic (PSG) sleep measurement and sleep-dependent motor learning were assessed at each condition. Triazolam was associated with longer total sleep time and increased Stage 2 sleep. Both zolpidem and triazolam were associated with increased latency to rapid eye movement (REM) sleep. Overnight motor learning correlated with total sleep time in the placebo condition but not in the triazolam or zolpidem conditions. A statistically significant impairment in motor performance occurred overnight in the triazolam condition only. Triazolam, given in sufficient doses to prolong sleep in healthy people, affected overnight motor learning adversely. Zolpidem, in a dose sufficient to prolong REM onset latency but without other effects on PSG-measured sleep, degraded the relationship between total sleep time and overnight motor learning. These data indicate that non-selective or alpha1-preferring benzodiazepine site allosteric activators can interfere with sleep-dependent memory consolidation.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1365-2869.2009.00757.xDOI Listing

Publication Analysis

Top Keywords

motor learning
20
sleep-dependent motor
12
allosteric activators
12
condition triazolam
12
total sleep
12
sleep time
12
overnight motor
12
sleep
9
retrograde effects
8
triazolam zolpidem
8

Similar Publications

Shaping the structural dynamics of motor learning through cueing during sleep.

Sleep

January 2025

UR2NF-Neuropsychology and Functional Neuroimaging Research Unit affiliated at CRCN - Centre for Research in Cognition and Neurosciences and UNI - ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Enhancing the retention of recent memory traces through sleep reactivation is possible via Targeted Memory Reactivation (TMR), involving cueing learned material during post-training sleep. Evidence indicates detectable short-term microstructural changes in the brain within an hour after motor sequence learning, and post-training sleep is believed to contribute to the consolidation of these motor memories, potentially leading to enduring microstructural changes. In this study, we explored how TMR during post-training sleep affects performance gains and delayed microstructural remodeling, using both standard Diffusion Tensor Imaging (DTI) and advanced Neurite Orientation Dispersion & Density Imaging (NODDI).

View Article and Find Full Text PDF

A new vision of the role of the cerebellum in pain processing.

J Neural Transm (Vienna)

January 2025

Postgraduate Program in Physical Therapy (PPGFT), Department of Physical Therapy (DFisio), University of São Carlos (UFSCar), Washington Luis Road, Km 235, São Carlos, São Paulo, 13565-905, Brazil.

The cerebellum is a structure in the suprasegmental nervous system classically known for its involvement in motor functions such as motor planning, coordination, and motor learning. However, with scientific advances, other functions of the cerebellum, such as cognitive, emotional, and autonomic processing, have been discovered. Currently, there is a body of evidence demonstrating the involvement of the cerebellum in nociception and pain processing.

View Article and Find Full Text PDF

Abnormal locomotor patterns may occur in case of either motor damages or neurological conditions, thus potentially jeopardizing an individual's safety. Pathological gait recognition (PGR) is a research field that aims to discriminate among different walking patterns. A PGR-oriented system may benefit from the simulation of gait disorders by healthy subjects, since the acquisition of actual pathological gaits would require either a higher experimental time or a larger sample size.

View Article and Find Full Text PDF

EBR-YOLO: A Lightweight Detection Method for Non-Motorized Vehicles Based on Drone Aerial Images.

Sensors (Basel)

January 2025

College of Information Science and Technology, Donghua University, Shanghai 201620, China.

Modern city construction focuses on developing smart transportation, but the recognition of the large number of non-motorized vehicles in the city is still not sufficient. Compared to fixed recognition equipment, drones have advantages in image acquisition due to their flexibility and maneuverability. With the dataset collected from aerial images taken by drones, this study proposed a novel lightweight architecture for small objection detection based on YOLO framework, named EBR-YOLO.

View Article and Find Full Text PDF

Enhancing Manufacturing Precision: Leveraging Motor Currents Data of Computer Numerical Control Machines for Geometrical Accuracy Prediction Through Machine Learning.

Sensors (Basel)

December 2024

Intelligent Manufacturing Laboratory, Production Engineering Institute, Faculty of Mechanical Engineering, University of Maribor, Smetanova ulica 17, 2000 Maribor, Slovenia.

Direct verification of the geometric accuracy of machined parts cannot be performed simultaneously with active machining operations, as it usually requires subsequent inspection with measuring devices such as coordinate measuring machines (CMMs) or optical 3D scanners. This sequential approach increases production time and costs. In this study, we propose a novel indirect measurement method that utilizes motor current data from the controller of a Computer Numerical Control (CNC) machine in combination with machine learning algorithms to predict the geometric accuracy of machined parts in real-time.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!