Péter Simor

The paper examines the relationship between mind wandering and seven symptom dimensions in a non-clinical sample, finding that ADHD symptoms uniquely predict mind wandering after accounting for shared variance.

The paper investigates how theta-band brain synchronization during immediate and post-sleep recall sessions in children supports memory recall dynamics and performance.

The paper shows that mind wandering is linked to reduced inhibitory control but improved implicit statistical learning, with the learning benefit depending on inhibition efficacy.

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 study finds a significant association between slow-wave sleep duration and nucleus accumbens volume in older adults.

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.

The paper examines the association between objective sleep efficiency and hippocampal subfield volumes in older adults, finding a positive link with entorhinal cortex volume and better memory performance.

This study examines how sleep fragmentation affects neurophysiological markers of cognitive fatigue during a working memory task in healthy individuals.

The paper uses EEG data to analyze similarity in brain activity during learning and rest periods to predict memory consolidation, finding distinct patterns for serial-order and probability information.

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 investigates whether REM sleep is necessary for memory consolidation after NREM sleep targeted memory reactivation (TMR), finding that TMR benefits depend on the timing relative to REM sleep.

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.

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.

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.

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.

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.