Eric Larson

This paper introduces a novel preprocessing method for MEG data using Fosters inverse with signal space separation to improve noise reduction and source localization.

EMG-BIDS standardizes EMG data organization, enabling FAIR data sharing and supporting machine learning applications.

This study shows that reading instruction in preschool children changes category-selective visual cortex responses without reducing responses to other stimuli.

This study compares the predictive power of oxygenated and de-oxygenated hemoglobin signals in fNIRS data for experimental condition classification, finding oxygenated hemoglobin provides better differentiation.

This study compares averaging and GLM-based analyses of fNIRS data from a block-design auditory paradigm, finding similar results but improved detection with systemic hemodynamic correction.

This paper introduces 12 anatomical templates for EEG source reconstruction in infants aged 0-24 months, validated using EEG recordings and MRI data.

The paper reanalyzes an open MEG/EEG dataset using MNE to compare different analysis strategies and provide best practices for group studies.