Róbert Bódizs

The paper examines sleep discrepancy between self-reports and objective measurements in a healthy population, finding that questionnaires are less accurate than daily diaries, and sleep discrepancy is influenced by non-pathological factors.

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 analyzes HRV spectral features in Williams syndrome during sleep, finding altered fractal properties and associations with sleep structure indicators.

This study compares spectral metrics to classical indices in mice sleep deprivation, finding that fractal parameters better capture sleep state changes than slow wave activity.

This study examines how sleep deprivation affects EEG spectral measures, finding that spectral slope indicates sleep depth changes and spindle frequency dynamics shift during recovery sleep.

The paper compares heartbeat-related neural activity in the anterior thalamus during phasic and tonic REM sleep and wakefulness, finding distinct patterns in phasic REM.

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 shows that increased wakefulness before sleep leads to deeper sleep and improved sleep efficiency in a naturalistic setting.

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 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 identifies persistent post-stress activity of paraventricular thalamic neurons as critical for stress-induced maladaptive behavior and shows that inhibiting this activity can alleviate symptoms.

The paper examines the relationship between chronotype, social jetlag, demographics, and health in a nationally representative sample of 7000 Hungarians, finding that age, sex, socioeconomic factors, and health behaviors influence these traits.

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 thalamic activity during scalp slow waves in humans and finds that thalamic activity is similar to scalp activity, driven by cortical inputs.

The paper examines adolescent sleep spindle topography and finds a shift from central to posterior regions for fast spindles, suggesting an anterior-to-posterior maturation pattern.

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

This study investigates the laminar profiles of sleep spindles in humans using EEG and microelectrode recordings, finding no strong association between spindle types and laminar profiles.

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 shows that detailed slow wave morphology, beyond standard parameters, is linked to age and cognitive decline, suggesting it as a biomarker for ageing.