Ida Granö

This paper introduces an adaptive Bayesian method for localizing motor representation areas using TMS, reducing the number of stimuli needed for accurate localization.

This study identifies distinct neurophysiological and structural connectivity profiles in the human SMA complex using TMS-EEG and diffusion-weighted connectomics.

This study identifies TMS-EEG signal thresholds by analyzing intensity-dependent changes in TEP responses to improve individualized stimulation dosing.

This paper develops an automated algorithm for determining motor hotspots and thresholds in TMS, achieving faster and more accurate results than previous methods.

This study examines how TMS-evoked EEG responses depend on the orientation of the stimulating electric field, showing strong amplitude variations in early peaks and suggesting orientation-dependent network effects.

This study evaluates the test-retest reliability of TMS-evoked potentials in non-motor cortical regions compared to motor cortex, finding lower reliability in non-motor areas and suggesting improvements through real-time monitoring.

The paper presents novel data using dMRI tractography-guided TMS-EEG on a single healthy young adult to better understand brain circuitry engagement during neuromodulation.

This study investigates how pre-stimulus cortical oscillation phases affect TMS-evoked effective connectivity patterns using TMS-EEG in three subjects.