Transcranial Magnetic Stimulation Studies

tDCS Cranial Nerve Co-Stimulation: Unveiling Brainstem Pathways Involved in Trigeminal Nerve Direct Current Stimulation in Rats

This study investigates how trigeminal nerve direct current stimulation (TN-DCS) affects brainstem neuronal activity in rats, finding significant modulation in locus coeruleus and dorsal raphe nucleus but not median raphe nucleus.

Modulation of oscillatory activity in response to very weak intensity transcranial magnetic stimulation in the human primary motor cortex

This study shows that very low-intensity transcranial magnetic stimulation can modulate oscillatory activity in the human primary motor cortex, suggesting potential for energy-efficient brain network modulation.

Enhancing Retrieval Capacity of the Predictive Brain through Dorsolateral Prefrontal Cortex Intervention

This study investigates how dorsolateral prefrontal cortex (DLPFC) intervention affects the retrieval of statistical knowledge using rTMS, finding enhanced access to statistical regularities with bilateral DLPFC suppression.

Boosting Motor Cortex Plasticity through Respiratory Phase-Triggered Paired Associative Stimulation

This study shows that timing Paired Associative Stimulation (PAS) with the transition from inspiration to expiration enhances motor cortical plasticity, as evidenced by increased MEP amplitudes.

Bayesian Optimization of Neurostimulation (BOONStim)

BOONStim uses Bayesian optimization to improve TMS targeting by integrating fMRI and TMS simulation tools, showing faster convergence and accuracy compared to grid optimization.

Decade-Long Impact of Trans-cranial Direct Current Stimulation in Alzheimers Disease

This paper uses a machine learning model to extrapolate short-term tDCS effects on Alzheimer's disease over a decade, providing treatment guidelines.

Motor cortical circuits are uniquely impacted by different exercise intensities

This study examines how different intensities of acute aerobic exercise affect motor cortical circuits using TMS, finding intensity-dependent changes in excitability and GABAergic inhibition.

DeepFocus: A Transnasal Approach for Optimized Deep Brain Stimulation of Reward Circuit Nodes

DeepFocus optimizes deep brain stimulation for reward circuit nodes using transnasal electrodes and simulation, achieving focal fields comparable to established thresholds.

A Causal and Dissociable Role for the Right Inferior Prefrontal Cortex in Empathy for Physical and Social Pain

This study uses f-tDCS to show that rIFG modulates empathy for physical and social pain differently, while dmPFC does not, suggesting distinct roles in empathy processing.

Individualized Alpha-tACS for Modulating Pain Perception and Neural Oscillations: A Sham-Controlled Study in Healthy Participants

This study investigates individualized tACS at peak alpha frequency on pain perception and neural oscillations in healthy participants, finding no significant condition interaction but trends in reduced sensitization and gender-specific effects.

Non-invasive brain stimulation over the Frontopolar Cortex promotes willingness to exert cognitive effort in a foraging-like sequential choice task

This study uses tDCS to show that stimulating the Frontopolar Cortex reduces cognitive effort costs in a sequential decision task, supporting its role in motivating effortful behavior.

Time dependent effects of cerebellar tDCS on cerebello-cortical connectivity networks in young adults

This study investigates how cerebellar tDCS affects cerebello-cortical connectivity in young adults, finding increased connectivity with anodal stimulation and time-dependent effects.

Stimulation Effects Mapping for Optimizing Coil Placement for Transcranial Magnetic Stimulation

This paper introduces a framework for optimal TMS coil placement without segmentation or meshing, validated across multiple datasets showing consistent results.

Transcallosal generation of phase aligned beta-bursts underlies TMS-induced interhemispheric inhibition

The paper investigates the relationship between beta oscillations and TMS-induced interhemispheric inhibition, finding that TMS evokes phase-aligned beta bursts that mediate inhibition.

A Double-Blind Replication Attempt of Offline 5Hz-rTUS-Induced Corticospinal Excitability

This study attempts to replicate the effects of 5Hz-rTUS on corticospinal excitability but finds no significant effects, suggesting variability in the technique's outcomes.

Efficient Prospective Electric Field-Informed Localization of Motor Cortical Targets of Transcranial Magnetic Stimulation

This study introduces an optimization strategy for TMS-based motor mapping using farthest point sampling, showing it is more efficient and robust than random sampling.

Phase-synchronized 40Hz tACS and iTBS effects on gamma oscillations

This study investigates the effects of phase-synchronized 40Hz tACS and iTBS on gamma oscillations in the dorsolateral prefrontal cortex, finding that iTBS-tACS peak synchronization most significantly enhances gamma power.

Transcranial direct current stimulation over the frontal eye field has no effect on visual search performance

This study investigates whether tDCS over the frontal eye field improves visual search performance but finds no significant effects.

Forecast Padding Enhances Accuracy and Robustness of EEG-Phase-Synchronized TMS

This paper introduces forecast padding to improve EEG-phase-synchronized TMS by reducing filter edge effects, enhancing stimulation accuracy and reducing deadlock rates.

Contralateral Prefrontal and Network Engagement during Left DLPFC 10 Hz rTMS: An Interleaved TMS-fMRI Study in Healthy Adults

This study uses interleaved TMS-fMRI to examine the neural effects of left DLPFC 10 Hz rTMS in healthy adults, revealing contralateral prefrontal and subcortical activation patterns.

Individual-specific effects of transcranial electrical stimulation on 40-Hz auditory steady-state responses

This study examines individual-specific effects of transcranial electrical stimulation on 40-Hz auditory steady-state responses, finding significant interindividual variability and a link between baseline ASSR and memory gain in otDCS.

Personalized electric field simulations of deformable large TMS coils based on automatic position and shape optimization

This paper introduces a method for optimizing the position and shape of deformable TMS coils based on individual head anatomy, improving electric field simulations and enabling systematic dose-response comparisons.

Vestibular involvement in transcranial electrical stimulation: body sway as a marker of unintended stimulation

This study shows that transcranial electrical stimulation (tES) can induce body sway at the stimulation frequency, indicating unintended vestibular system activation.

Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time

The paper develops a machine learning-based EEG-TMS system to predict corticospinal tract activation in real-time using personalized brain activity patterns in healthy adults.

Dorsolateral prefrontal cortex TMS evokes responses in the subgenual anterior cingulate cortex: Evidence from human intracranial EEG

This study uses TMS-iEEG to show that dlPFC stimulation evokes activity in sgACC, providing electrophysiologic evidence of its connectivity.

Test-retest reliability of TMS-evoked potentials over fMRI-based definitions of non-motor cortical targets

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.

Neural Mechanisms of tDCS: Insights from an In-Vivo Rodent Model with Realistic Electric Field Strengths

This study uses an in-vivo rat model to investigate how weak electric fields from tDCS affect cortical neurons, showing field strength-dependent changes in membrane polarization and spiking activity.

Enabling Electric Field Model of Microscopically Realistic Brain

This paper models microscopic electric field perturbations in a mouse brain sample to assess their impact on neuronal activation thresholds, finding modest effects compared to macroscopic predictions.

Utilizing tACS to enhance memory confidence and EEG to predict individual differences in brain stimulation efficacy

Decoding Motor Excitability in TMS using EEG-Features:An Exploratory Machine Learning Approach

This study develops a machine learning framework to predict motor excitability states using EEG features, achieving 72% mean accuracy in healthy participants.