Péter P. Ujma

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.

The paper investigates whether alexithymia's association with poor sleep quality reflects physiological changes, specific perception issues, or non-specific negative affectivity, finding the latter.

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 shows that within-subject variations in objective sleep metrics predict subjective sleep quality, while between-subject effects may have confounded previous studies.

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 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 assesses polygenic scores for educational attainment in Hungarian and English populations, finding significant associations in Hungary but not in England.

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

The paper investigates the relationship between thalamic sleep spindles, interictal epileptiform discharges (IEDs), and ripples in epilepsy patients, finding associations with epilepsy duration and general intelligence.

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.