Iiro P. Jääskeläinen

The paper investigates the cerebral organization of perceived and felt emotions using fMRI and emotional movies, revealing shared and distinct neural mechanisms across brain regions.

The paper investigates whether visual stimuli drive high-frequency activity in human auditory cortex and finds no significant increase in high-frequency activity despite cross-sensory modulations.

This paper develops a distributed sEEG source-modeling approach for analyzing intracranial recordings, showing it effectively captures variance and provides consistent results for event-related potentials and high broadband gamma activity.

This study shows that family cultural background influences brain processing of a spoken narrative, with shared background increasing neural similarity across multiple levels of language processing.

The paper uses pattern recognition on fMRI data to classify emotions based on functional connectivity, finding distinct patterns for most emotions but not sadness.

The paper identifies brain regions associated with individualized meaning formation during narrative listening by analyzing inter-subject semantic and hemodynamic similarities.

The paper evaluates importance extraction methods in neural network-based fMRI classification, finding that importance maps outperform univariate approaches in detecting overlapping and weakly informative patterns.

The paper identifies discrete neural activation patterns for 14 emotions using fMRI and pattern classification, showing distributed brain activity across multiple regions.

The paper investigates neural activity differences between lipreading, listening, and reading in individuals with varying lipreading skills, finding distinct brain activation patterns associated with skilled lipreading.

This study shows that knowledge of genetic relationships modulates brain activity during moral dilemmas involving siblings.