Mainak Jas

Motion tolerance in wearable OPM-MEG using dynamic field nulling

This paper develops a dynamic field nulling method for wearable OPM-MEG to improve motion tolerance and source localization accuracy during head movements.

Signal-to-noise ratio of event-related fields in on-scalp and off-scalp MEG

The paper compares signal-to-noise ratio (SNR) of MEG signals from on-scalp and off-scalp sensors, finding that OPMs offer better SNR for superficial sources and smaller heads.

Quantifying Cerebellar Signal Detectability in MEG and EEG in Epilepsy Using Anatomically Informed Source Modeling

This paper quantifies cerebellar signal detectability in MEG and EEG for epilepsy using anatomically informed source modeling, finding that depth and geometry, not proximity, primarily affect signal-to-noise ratio.

Biplanar nulling coil system for OPM-MEG using printed circuit boards

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.

Characterizing directional dynamics of semantic prediction based on inter-regional temporal generalization

The paper uses MEG data and a machine learning approach to investigate causal connectivity between inferior frontal gyrus and temporal areas during semantic prediction, finding significant feedback effects.

Decoding auditory working memory content from EEG aftereffects of auditory-cortical TMS

The paper decodes auditory working memory content from EEG aftereffects of auditory-cortical TMS using multivariate pattern analysis.

Target of selective auditory attention can be robustly followed with MEG

The paper demonstrates that selective auditory attention can be reliably detected in unaveraged MEG responses with high accuracy using support vector machine classification.

Neuronal modeling of magnetoencephalography responses in auditory cortex to auditory and visual stimuli

The paper uses MEG and computational modeling to show that cross-sensory visual input to human auditory cortex is feedback-type, consistent with findings in non-human primates.

NeuroPycon: An open-source Python toolbox for fast multi-modal and reproducible brain connectivity pipelines

NeuroPycon provides a Python toolkit for reproducible brain connectivity analysis by integrating neuroimaging tools into a unified framework with parameter files for replication.

Human Neocortical Neurosolver (HNN): A new software tool for interpreting the cellular and network origin of human MEG/EEG data

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

Mammogram Segmentation using Multi-atlas Deformable Registration

This paper proposes a method for breast region segmentation in mammograms using multi-atlas deformable registration, achieving better performance than existing methods.

MEG/EEG group study with MNE: recommendations, quality assessments and best practices

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

MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography

MEG-BIDS extends the BIDS standard to organize MEG data, enabling efficient storage, sharing, and integration with MRI data.