Robert Oostenveld

This study links white matter microstructure to electrophysiological timing and naming performance by analyzing diffusion, electrophysiological, and behavioral data.

This study uses EEG source reconstruction with a language paradigm to examine hemispheric dominance changes in stroke patients over time.

STAMP-LME provides a spatiotemporal framework for population-level iEEG analysis, enabling group-level inference without predefined regions of interest and preserving spatiotemporal resolution.

This study examines brain dynamics during unusual bodily experiences and out-of-body experiences, finding reduced neural hierarchy and increased EEG complexity.

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

This paper extends the BIDS standard to include eye-tracking data and metadata, improving organization and transparency for gaze position and pupil recordings.

This study investigates the cortical propagation of 40 Hz invisible spectral flicker using MEG, but finds that EMI artifacts prevent reliable inference on spatial propagation.

This paper shows that CSF-filled cavities significantly affect scalp EEG amplitude and topography, making group comparisons difficult to interpret without accounting for this confounding factor.

This paper introduces a strategy to automate the creation of standardized MATLAB scripts for EEG/MEG analysis using the FieldTrip toolbox, improving reproducibility with minimal user effort.

This study quantifies motor cortical high-gamma oscillations in stroke survivors and controls, finding reduced power linked to movement speed and stroke.

This paper proposes using individualised warped MRI templates to share MEG source reconstruction data while preserving participant anonymity.

The paper introduces PET-BIDS, an extension of the BIDS standard for PET data, and provides curated datasets and tools for its use.

This study shows cerebellar Purkinje cells modulate S1-M1 coherence in theta and gamma bands during whisker stimulation, with effects dependent on region and behavior.

This study investigates brain dynamics during grapheme-phoneme learning in adults using MEG, finding dynamic changes in multi-sensory processing and memory encoding.

This study compares LCMV beamformer implementations across four MEG toolboxes, finding reliable source localization at typical SNR but differences in sensitivity to preprocessing parameters and SNR effects.

This paper introduces a method for accurately localizing on-scalp MEG sensors relative to the head, improving co-registration and source localization accuracy.

This study examines cortical beta bursts in Parkinson's disease patients on and off medication, finding reduced burst rates correlate with symptom severity.

The paper updates the Lead-DBS pipeline for DBS imaging and connectomics, demonstrating its application on clinical data and comparing preprocessing strategies.

The paper describes a protocol for integrating anatomical and electrophysiological human intracranial EEG data using an open-source toolbox, enabling rapid and reproducible analysis.

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

This study reconstructs resting-state networks from macaque ECoG data using source-space independent component analysis, identifying seven cortical generators in the motor system with spatially continuous dynamics.

This study identifies distinct frequency channels for feedforward and feedback influences in the primate visual system using Granger-causal analysis of local field potentials.