Risto Juhani Ilmoniemi

This study investigates the relationship between cortical and corticospinal excitability thresholds along the motor cortex using TMS-EMG-EEG in 24 subjects, finding strong correlations and site-specific differences.

This paper introduces rtSOUND, a real-time EEG noise cancellation algorithm that improves signal-to-noise ratio for brain-computer interfaces and monitoring applications.

The paper identifies five distinct depression phenotypes using MEG-oscillation functional connectivity and low-dimensional brain-symptom associations.

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

This paper develops an EEG-guided robotic TMS system that controls both pulse timing and location in real time, improving closed-loop neurostimulation for research and clinical applications.

This study demonstrates the feasibility of timing transcranial magnetic stimulation (TMS) to interictal epileptiform discharges (IEDs) in children with SeLECTS using a CNN-based EEG pipeline.

This study investigates how EEG lead configurations affect TMS-induced EEG artifacts and finds that certain configurations can minimize both pulse and decay artifacts.

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 paper characterizes an open-source electronic-robotic mTMS platform that improves the accuracy and automation of brain stimulation targeting.

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 paper develops a digital interface for precise, brain-state-dependent TMS timing, achieving sub-millisecond accuracy in EEG-TMS synchronization.

NeuroSimo provides open-source software for real-time closed-loop EEG-TMS stimulation, enabling flexible and precise control with low timing error.

This paper applies probabilistic deep learning to forecast resting-state EEG signals, achieving more accurate long-term predictions than autoregressive models.

This study investigates how the orientation of TMS-induced electric fields affects short-interval intracortical inhibition and facilitation in the motor cortex, finding optimal orientations for maximizing MEP suppression and facilitation.

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-stimulation EEG connectivity of the primary motor cortex relates to motor network state and its impact on transcranial magnetic stimulation responses.

This paper introduces a multi-channel TMS system for precise stimulus orientation control during ultra-high-field MRI in preclinical studies, enabling concurrent brain stimulation and imaging without compromising imaging quality.

This paper develops a real-time tractography-assisted TMS neuronavigation system and demonstrates its feasibility through comparison with offline tractography results.

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

The paper introduces rt-TEP, a real-time visualization tool for TMS-evoked potentials that improves signal quality and parameter optimization.

This paper develops an electronic TMS transducer for precise E-field orientation control and validates a model of neuronal excitability orientation selectivity.

The paper develops a multi-locus transcranial magnetic stimulation (mTMS) system that electronically controls the location and orientation of the electric field maximum in a cortical region.

This study examines hemodynamic responses to excitatory and inhibitory TMS modulations in the human sensorimotor cortex using fMRI, finding asymmetric responses and region-specific effects.

This study investigates the trade-off between the number of coils and focality in multi-locus transcranial magnetic stimulation (mTMS) transducers, showing that wider cortical control is achievable with less focality.

This study evaluates how different preprocessing pipelines affect TMS-EEG signal quality, finding significant variability in TEP amplitudes and reliability across methods.

This study evaluates artifact correction techniques for tACS-contaminated EEG data, finding that signal-space projection (SSP) effectively suppresses the tACS artifact while preserving brain activity.

This study develops individual head models for rats using X-ray tomography to estimate TMS-induced electric fields and shows that head shape deviations significantly affect E-field distribution.

This paper introduces DS-MUSIC and RDS-MUSIC methods for localizing brain sources from MEG data, showing they are robust to temporal correlations and accurate in simulations and real data.