Maarten De Vos

This study examines how apnoea and breathing pauses affect brain activity in infants, finding reduced EEG amplitude during these events.

This paper shows that sensory-evoked potentials can accurately predict age in premature infants, with potential for early detection of abnormal neurodevelopment.

This paper develops a deep learning model to estimate brain age from neonatal EEG signals, achieving high accuracy with short recordings and showing correlation with neurodevelopmental outcomes.

The paper identifies neural mediators and brain regions associated with behavioral symptoms and psychosis onset using high-dimensional functional mediation analysis in clinical high-risk individuals.

The paper examines EEG connectivity patterns in schizophrenia patients and finds reduced interhemispheric and increased intrahemispheric connectivity in specific brain regions.

This paper evaluates an EEG-based method for decoding auditory attention in various acoustic conditions and finds it performs well even with degraded reference and training signals.

This paper investigates online auditory attention detection with neurofeedback, showing that training can improve performance and that stimuli correlate with AAD outcomes.