Transcranial Magnetic Stimulation Studies

This paper introduces a novel sensory suppression protocol called ATTENUATE for suprathreshold TMS to dlPFC, showing it reduces sensory EEG responses and perception more effectively than standard masking.

This study shows that including non-MEP points in TMS mapping can affect estimates of cortical motor areas, suggesting conventional methods may overestimate excitability regions.

This study examines inter-individual variability in functional connectivity of TMS targets for MDD using E-field maps and identifies major functional networks involved.

This study shows that transcranial magnetic stimulation (TMS) applied to the ventrolateral prefrontal cortex (vlPFC) modulates amygdala activity via cortical-subcortical connections, suggesting potential therapeutic applications for affective disorders.

This study evaluates the reliability of TMS-evoked potentials (TEPs) to detect changes in cortical excitability after theta-burst stimulation (TBS) of the prefrontal cortex.

This study characterizes low-frequency artifacts during tTIS and shows that neurophysiological data can be acquired without stimulation artifacts at low-frequencies with appropriate hardware.

This study evaluates adverse events and blinding efficacy of repeated transcranial electrical stimulation in 1,019 participants across four sites, finding that blinding was less effective for tDCS and tACS than tRNS.

This study investigates whether short-duration anodal TDCS induces dose-dependent increases in cerebral blood flow in the motor cortex, finding no such effect.

This study shows that 4mA tDCS improves motor sequence learning with lasting effects and better tolerability than previous methods.

This study examines how 10-Hz rTMS to the left DLPFC affects reinforcement learning by measuring behavioral and computational changes linked to striatal dopamine activity.

This study investigates using TMS-EEG to assess cerebellar-brain inhibition (CBI) responses, finding that specific coils alter EEG potentials related to motor inhibition.

This study investigates whether DLPFC-tDCS affects mind-wandering and brain connectivity, finding no significant effects on behavior, functional, or effective connectivity.

This study examines how different intervals of repetitive paired-pulse transcranial magnetic stimulation (iTMS) affect intracortical excitability and I-wave circuits using TMS-EEG.

This study investigates the relationship between cortical excitability and hemodynamic activity using simultaneous TMS and fNIRS, finding a positive correlation between them.

This study shows that mental practice improves motor skill accuracy and speed and alters functional connectivity between the cerebellum and primary motor cortex.

This paper introduces a tool for automatically tuning pulse amplitude and width in EMG-guided cTMS to estimate membrane time constants and input-output curves using Fisher information matrix and normalized depolarization factor maximization.

This study examines the relationship between high-frequency oscillations in the sensory and motor hand areas and regional myelin content in the human sensorimotor cortex.

This study applies event-related TDCS during motor adaptation tasks to investigate temporal specificity, finding cerebellar stimulation enhances movement-specific learning while M1 stimulation does not.

This study investigates the effects of beta and gamma-band stimulation on motor inhibition using tACS, finding that beta stimulation enhances inhibition while gamma may slow braking.

This study shows that transcranial direct current stimulation (tDCS) changes the waveform shape of gamma oscillations in the visual cortex, specifically affecting the descending half-wave.

This study investigates the effects of transcranial ultrasound stimulation on the primary motor cortex during tonic muscle contraction and finds no significant changes in muscle activity or cortical excitability.

This study uses machine learning to classify individual motor cortical excitability states from EEG signals, showing personalized classifiers can predict high and low excitability states with 80% accuracy.

The paper uses GluCEST MRI to detect glutamate concentration changes in the motor cortex after cTBS, finding decreased ipsilateral signal but no consistent contralateral or sham effects.

This study examines TMS-evoked fMRI responses under different neurocognitive and oscillatory brain states using simultaneous TMS-EEG-fMRI, finding state-independent responses in sensory areas and state-dependent effects on indirect TMS effects.

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

TAP optimizes and verifies transcranial magnetic stimulation coil placement using individualized head models and MRI data to improve targeting accuracy and E-field control.

This study replicates findings from previous research using a new QPS stimulator, showing similar after-effects in motor evoked potentials as the previously used Magstim stimulator.

This study investigates how theta tACS affects perceived uncertainty and risk-taking behavior during decision-making, finding increased uncertainty but no direct effect on exploration.

This study uses EEG features to select tACS parameters for improving working memory, finding that 8 Hz prefrontal tACS significantly enhances verbal working memory compared to 40 Hz and sham.

This study validates M1-P15 as a reliable cortical marker of transcallosal inhibition and shows task-dependent modulation, while demonstrating the feasibility of preregistration in TMS-EEG research.