Transcranial Magnetic Stimulation Studies

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 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 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 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 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 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 uses tACS to show that 10 Hz alpha stimulation over the occipital cortex enhances visual perceptual learning, while other frequencies and regions do not.

This study examines coactivation and overlapping of cortical motor representations for forearm and hand muscles using nTMS, finding high overlap and stronger stimulation intensity effects on size than topography.

This study investigates the factors determining cortical responses to transcranial electrical stimulation using multi-scale modeling, finding that electric field magnitude, not radial field magnitude, is key, especially for neurons with arborized axons.

This study shows that rhythmic median nerve stimulation at 20Hz can entrain brain oscillations in the contralateral somatosensory cortex, while 12Hz stimulation primarily reflects sensory evoked potentials.

The paper compares TMS-EEG cleaning pipelines, showing how changes in pipeline steps affect TEPs and emphasizes the need for multiple pipeline comparisons to ensure reliable results.

TAAC generates customized masking noises to reduce auditory confounds in TMS-EEG studies, achieving effective masking at lower sound pressure levels than standard methods.

This study investigates how transcranial alternating current stimulation affects spiking activity in computational models of single neocortical neurons, finding no effect on firing rate but entrainment in large pyramidal neurons.

The paper re-evaluates a previous finding on tDCS effects on attentional blink, finding no significant negative correlation and suggesting smaller effects.

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