Martin Dresler

This study evaluates stress detection using wearable sensors, finding that within-individual models perform better than between-individual models, suggesting stress detection is personalized.

This paper introduces a broken power-law model to describe heart rate variability spectra in sleep, finding age, sex, and sleep stages affect spectral characteristics.

This study examines night-to-night variability in sleep patterns using EEG data over one year, finding that macrostructural patterns are relatively stable while temporal alignment varies significantly.

This study investigates how nocturnal awakenings influence dream recall, finding that specific awakening characteristics, not just frequency, affect different types of dream recall.

The paper analyzes EEG microstate dynamics in lucid versus non-lucid REM sleep, finding distinct microstate patterns associated with different cognitive and emotional functions.

This paper investigates lucid dream induction using virtual reality and sensory stimulation in a lab setting, finding that explicit context training is more effective than additional technological interventions.

This study investigates whether muscle and vestibular stimulation can induce lucid dreams, finding that galvanic vestibular stimulation increases dream lucidity while muscle stimulation does not.

This study shows that gastric electrical rhythms during sleep are synchronized with cortical oscillations and predict memory recall and sleep quality.

The paper develops and validates artifact-aware sleep stage classifiers for forehead EEG, showing robust performance across multiple devices and sleep stages.

This study investigates the neural correlates of dream recall frequency using multimodal neuroimaging in 258 individuals, finding associations between DRF and brain structure and function.

This study identifies electrophysiological correlates of lucid dreaming using EEG data from multiple labs, finding source-level changes in gamma1 and alpha power.

The paper investigates how memory training using the method of loci affects neural representations in memory athletes and novices, finding distinct prefrontal cortex patterns linked to better memory performance.

This paper introduces fractal cycles as a new definition of sleep cycles based on fractal neural activity, showing correlations with classical cycles and differences across age groups and depression states.

This study differentiates phasic and tonic REM sleep states using aperiodic neural activity slopes, showing phasic states have steeper low-band and flatter high-band slopes, and EM amplitudes correlate with these slopes.

This study investigates how different somatosensory stimulations affect dream incorporation, finding no significant difference between stimulation and sham conditions.

This study investigates the neural correlates of nightmares using fMRI data from large cohorts but fails to replicate previous findings on amygdala-prefrontal connectivity and ReHo differences.

This study tests a combined sensory and cognitive approach to induce lucid dreaming, finding higher rates of signal-verified lucid dreams with sensory cues compared to sham conditions.

This study examines the effects of sustained polyphasic sleep restriction on human growth hormone release and other physiological and cognitive measures.

The paper validates a wearable PSG system, ZMax, comparing its sleep scoring and metrics to standard PSG, finding moderate to substantial agreement with human scorers.

The paper predicts cognitive performance from sleep EEG features in older men, finding that certain EEG patterns are associated with cognitive ability, though this association weakens after adjusting for demographic and health factors.

This study examines how slow-wave sleep and REM sleep affect plasma amyloid-beta levels, finding distinct associations with growth hormone, cortisol, and age-related clearance efficiency.

This study compares manual and automatic artifact detection in sleep EEG recordings, finding that automatic methods can effectively eliminate artifact effects without requiring visual inspection.

The paper introduces the sleep EEG envelope spectrum as a neuronal firing-based biomarker, showing it reflects age and sex with high individual stability.

The paper analyzes sleep EEG spectra using the FOOOF method to separate aperiodic and oscillatory components, finding sleep stage-specific spectral features.

This study examines how spindle-slow oscillation coupling during sleep relates to memory performance and changes in hippocampal network connectivity after spatial learning.

This study analyzes non-REM sleep EEG features in MDD patients and finds subtle alterations linked to medication and memory consolidation.

The paper analyzes sleep spindle frequency dynamics across overnight sleep and naps to assess circadian modulation and age-related changes.

This study shows that mnemonic training improves durable memory formation by reducing task-based brain activation and enhancing consolidation.

The paper introduces composite EEG measures for NREM sleep based on power law scaling, reducing 191 metrics to four, and shows their utility in characterizing age, sex, and intelligence effects.

This study uses TMS to perturb the medial prefrontal cortex and examines its effect on emotional memory schemas in healthy volunteers, finding reduced false recognition of negative stimuli.