Transcranial Magnetic Stimulation Studies

This study characterizes and minimizes sensory input contributions to TMS-evoked potentials using control conditions and filters, finding that SSP-SIR best reduces sensory signals while preserving relevant data.

The paper provides a tutorial on using Simpleware and COMSOL Multiphysics to create and solve FEM models for simulating tDCS current flow based on MRI-derived head anatomy.

This study investigates how anodal and cathodal tDCS affects cortical neuron activity in awake macaques, finding dose- and polarity-dependent changes in spike rates and network dynamics.

This study uses Bayesian optimization to assess how tACS phase differences affect phosphene perception and cognitive effects.

This study investigates tACS effects on binocular rivalry using phase and frequency-specific stimulation, finding frequency-specific modulation but no phase preference.

This study shows that alertness fluctuations affect TMS-evoked neural responses, highlighting the need to account for alertness in TMS experiments.

This paper designs a novel dTMS coil array that maximizes nerve fiber potential while minimizing electric field strength, showing improved efficiency and accuracy in brain stimulation.

The paper assesses sham-blinding during tDCS and finds participants can distinguish active from sham protocols, but active tDCS does not improve reaction times.

This study investigates the neural basis of TMS at the single-cell level in macaques, finding that TMS activates a small cortical volume and interacts with task-related activity without summation.

This study investigates the electric field dynamics during multi-electrode transcranial electric stimulation in non-human primates, revealing nonlinear dependencies and a novel traveling wave phenomenon.

This study evaluates the accuracy and stability of a robotic TMS coil positioning system, finding low initial error but increasing error over time.

This study shows that SPIO nanoparticles in the hippocampus, when exposed to an external rotating magnetic field, rapidly improve antidepressant outcomes in mice.

This study shows that measuring neural activity during repetitive electrical stimulation can predict post-stimulation changes in brain network connectivity.

This study investigates how deep rTMS targeting the mesial prefrontal cortex affects resting state functional connectivity in the mesial fronto-striatal circuit.

This study investigates the effects of cerebellar transcranial direct current stimulation on explicit sequence learning, finding polarity-specific impacts on cognitive aspects of motor learning.

The paper models the trigeminal neuralgia network using a modified Hodgkin-Huxley model to show how motor cortex stimulation affects pain relief.

This paper shows that combining visual training with transcranial random noise stimulation (tRNS) significantly improves visual motion perception and leads to long-lasting effects in both healthy individuals and patients with chronic cortical blindness.

The paper compares short-interval intracortical inhibition and facilitation in younger and older adults, finding age-related differences in their balance and association with manual dexterity.

The paper introduces a software toolkit for high-resolution TMS modeling that balances computational speed and spatial precision using BEM-FMM, compatible with human head models.

The paper introduces PCIST, a fast method to estimate perturbational complexity of brain signals, validated on TMS/hd-EEG and SEEG data, showing comparable accuracy to the original PCI with improved speed and applicability.

This study investigates whether corticomotor excitability is modulated by the phase of pericentral mu-rhythm in non-preselected individuals, finding no significant phase effect but weak effects of mu-power and ISI.

This study shows that transcranial alternating current stimulation (tACS) can modulate long-range cortical connectivity, with effects dependent on the phase relationship between hemispheres.

This study shows that cTBS effects on eating are stronger when participants are exposed to facilitating cues in their environment.

This study shows that transcranial direct current stimulation (tDCS) changes functional network structure in the human brain, depending on whether a node is excited or inhibited.

The paper examines the functional effects of a TMS double lesion on a cortical network by assessing saccade performance after perturbing nodes in the oculomotor network.

This paper introduces a method for selecting rTMS targets using resting state fMRI in healthy subjects, showing improved functional connectivity correlates and reporting changes in default mode network connectivity post-stimulation.

This paper applies individualized resting-state network mapping to guide rTMS treatment for treatment-resistant depression in a retired NFL player, showing clinical improvement.

This study examines how TMS affects phase-amplitude coupling in neural oscillations using concurrent TMS-EEG, finding increased coupling at stimulation sites and across cortical regions.

This study assesses the within-subject consistency of paired associative stimulation (PAS) using linear mixed models and finds poor consistency and significant potentiation during PAS induction.