Ferenc Gombos

This study examines how pubertal timing affects adolescent brain vulnerability by analyzing brain hierarchy changes before and after the pandemic.

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 examines how biological maturity and experience affect fine motor skills in adolescents, finding that bone age strongly predicts sequential motor performance, while chronological age and musical experience also play roles.

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 visual training increases fast sleep spindle density and clustering in young adults, with no age-related differences.

This study examines how the pace of pubertal maturation affects brain organization by linking skeletal age stages to resting-state EEG entropy production.

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

The paper examines how self-reported visual imagery vividness changes across age groups, finding a decline from adolescence to middle age.

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.

This study examines how experience and maturation influence fine motor skills in adolescents, showing task complexity affects experience-driven improvements while simple tasks are shaped by maturation.

This study uses HD-EEG polysomnography to analyze sleep spindle development in adolescents, finding age-related changes in frequency, amplitude, duration, and density, with gender differences in the oldest age group.

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

This study shows that skeletal maturity, measured by bone age, predicts cognitive abilities in adolescents, with more mature individuals having higher working memory and processing speed, while older teens have better verbal abilities.

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 identifies two distinct microstates within REM sleep, phasic and tonic, showing different patterns of cortical oscillations and synchronization.

The paper investigates how sequence and statistical learning change during training and off-line periods, finding that sequence learning improves more with practice and shows different consolidation patterns than statistical learning.