Orsolya Szalárdy

The paper investigates how brain networks predict and evaluate auditory events by analyzing EEG data during a task with varying predictability, finding distinct connectivity patterns for prediction and evaluation phases.

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.

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 investigates how aging and hearing impairment affect listening in noise using behavioral and neurophysiological measures, finding that aging alone does not significantly impair sound source detection, but mild hearing loss does.

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 study investigates whether background speech is segregated into separate streams in the cocktail party scenario by comparing target detection and ERP responses with different numbers of distractors.

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.

This study investigates how speech prosody aids in speaker selection and auditory stream segregation in multi-talker environments through behavioral and neural responses.

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.