Matti Hämäläinen

The paper examines developmental changes in cortical excitation-inhibition balance in ASD across brain regions and age, finding regionally and developmentally specific differences.

This study finds reduced cortical activation and increased alpha-band functional connectivity in ASD during passive auditory spatial attention tasks compared to typically developing children.

This paper introduces a fast MEG source estimation method using reciprocal relationships and BEM-FMM, achieving high-resolution gain matrices for up to 1 million dipoles.

This paper designs and fabricates biplanar nulling coils for OPM-MEG using PCBs, achieving field reduction comparable to traditional methods in a less shielded environment.

The paper uses MEG and EEG to identify limbic sources of the P3 component, including retrosplenial cortex and hippocampus, and shows increased source specificity with combined data.

The paper creates a high-resolution digital anatomical atlas of the human cerebellum at the level of individual folia, enabling detailed analysis and visualization of cerebellar data.

The paper identifies the retro-splenial cortex as the dominant source of the parietal P3 response in EEG using M/EEG, fMRI, and simulation studies.

The paper develops and validates a new EEG source localization algorithm using BEM-FMM, reciprocity principle, and TES forward model matrix, achieving high-resolution source reconstruction with low computational cost.

The paper uses MEG and ERPs to study how the brain processes expected, unexpected, and implausible words during language comprehension, interpreting results through a predictive coding framework.

This pilot study uses state-based neurofeedback to train participants to improve spatial attention shifting, showing generalized improvements in reaction times.

This paper compares the accuracy of epileptic activity source estimation using on-scalp MEG (osMEG) with other modalities and finds osMEG provides better accuracy than conventional MEG and high-density EEG.

This paper develops a method to reconstruct the cerebellar cortex from standard MRI using diffeomorphic registration of a high-resolution template, enabling accurate topographic reconstructions for neuroimaging applications.

The paper introduces HNN, a software tool that interprets the cellular and network origin of human MEG/EEG data using a neocortical circuit model.

The paper introduces a high-resolution numerical method for solving forward problems in neurophysiological recordings, showing improved accuracy and speed compared to existing methods.

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

The paper investigates how saccadic eye movements influence cortical activity during a word recognition task, finding left-lateralized effects beyond visual stimulation alone.

The paper examines how beta and gamma frequency bands mediate different aspects of cortical resting-state network maturation from age 7 to 29.