Jens Madsen

This study investigates factors driving intersubject correlation (ISC) in EEG during auditory narratives, finding that acoustic features mainly drive ISC, while linguistic features like word surprisal contribute under active engagement.

The paper shows semantic novelty during visual fixations modulates neural activity in primate cortex, using EEG and intracranial recordings.

The paper introduces a multimodal dataset capturing brain and body responses during educational videos, revealing effects like increased alpha power and decreased saccade rate in distracted conditions.

This study investigates brain-body dynamics across cognitive states and finds they are stable, with strong bottom-up feedback and narrative entrainment.

The paper uses AI to analyze clinical interviews of youths with ADHD and ASD, finding distinct behavioral features that differentiate the conditions despite overlapping traits.

This study shows that momentary attention during video learning predicts test performance better than trait inattention, highlighting the role of instructional format in learning.

The paper introduces an open-access dataset combining EEG and fMRI data from naturalistic viewing tasks to study brain function and preprocessing methods.

The paper shows that listening to stories affects both brain activity and physiological signals, with bidirectional interactions between the body and mind.

This study shows that inter-subject correlation occurs in neural, physiological, and behavioral signals during shared cognitive processing, but not in all signals, and is influenced by attentional state and information recall.

This study shows that heart rate synchronization between individuals occurs during conscious processing of narrative stimuli and is reduced when attention is distracted.

This paper shows that synchronized eye movements during online video education predict individual test scores and replicates across different video styles and learning scenarios.

The paper shows that neural engagement measured by EEG during educational videos predicts learning performance and distinguishes attentive from inattentive viewing.