Tim van Mourik

This study uses real-time fMRI neurofeedback to induce implicit memory contexts during object memorization, showing that neurofeedback creates associations between objects and their implicit context.

The paper uses 9.4T fMRI to study motion signal integration in human V3A and V6+ areas across cortical depth, finding differential laminar processing for retinal and objective motion.

This study investigates how visual attention affects laminar BOLD responses in human visual cortex using 7T fMRI, finding no laminar-specific differentiation with attention.

This study examines how EEG power modulations relate to changes in laminar fMRI connectivity during an attentional task, finding distinct effects for alpha and beta bands.

This paper introduces RBR, a method to correct geometric distortions in fMRI scans, improving spatial specificity for laminar analysis.

This study demonstrates that laminar fMRI can reveal directed connectivity in whole-brain networks during language processing by identifying top-down signal contributions in language-critical regions.

This paper introduces a spatial GLM method to extract laminar signals from cortical data, showing improved signal localization and reduced partial volume effects.

Porcupine is a visual tool that creates reproducible neuroimaging analysis pipelines by generating code and Docker environments, improving transparency and shareability.