Transcranial Magnetic Stimulation Studies

This study investigates how TMS trains affect neural activity in the human prefrontal cortex using noninvasive measurements and finds no evidence of amplitude changes but detects non-local and phase-based neural effects.

This study uses brain entropy measured via fMRI to explore the neural mechanisms of rTMS in tobacco use disorder, finding reduced entropy in key brain regions after dlPFC stimulation.

This study compares the effectiveness of different transcranial electrical stimulation (tES) methods combined with visual perceptual learning (VPL) and finds that 10 Hz tACS provides the strongest enhancement in learning rate and performance.

This study shows that 5-HT2 receptor antagonism reduces corticospinal and motoneurone excitability during rest and voluntary contractions, but increases cervicomedullary responses only when descending drive is present.

The paper develops computationally efficient average response models of cortical neurons to estimate TMS-induced stimulation thresholds based on electric field orientation.

This paper uses computational modeling to show that rTMS induces dose-dependent homeostatic structural plasticity in neuronal networks, influenced by stimulation parameters and inhibition.

This study examines how ageing affects exercise-induced changes in motor cortical plasticity, finding that older adults show reduced plasticity responses to stimulation after exercise.

This study examines the reliability of resting-state EEG modulation by cTBS and iTBS on the primary motor cortex, finding no significant group-level effects and low-to-moderate reliability across sessions.

The paper uses a spiking neural network model to explain oscillatory responses in the motor cortex following transcranial magnetic stimulation, showing the role of recurrent inhibitory connections in generating motor evoked potentials.

This study quantifies neuronal polarization from tDCS in a multi-scale model, finding axonal and dendritic polarization exceeds somatic polarization.

This study investigates the direct and peripheral effects of TMS in non-human primates using invasive recordings, showing dose-dependent responses and spatial specificity.

This study investigates how transcranial magnetic stimulation affects spatial attention using biophysical modeling and fMRI, finding limited correlation between electric fields and behavior but selective attentional inhibition in some subjects.

This study reviews E-field outcome measures in tES and TMS and shows how they vary by person and montage, with limited overlap between methods.

This study examines cortical representation overlap between hand and forearm muscles using navigated TMS and finds greater overlap in synergistic muscle pairs.

The paper examines how the excitation/inhibition (E/I) ratio influences the effectiveness of transcranial random noise stimulation (tRNS) on learning, showing that lower E/I predicts greater learning benefits from tRNS.

This study shows dopamine interacts with tDCS to impair decision accuracy and discriminability in a speed-accuracy trade-off task.

This study shows that tACS can modulate auditory entrainment based on electric field properties, but optimal lags vary across individuals and sessions.

This study shows that non-stochastic, high-frequency transcranial alternating current stimulation (hf-tACS) with triangle and sine waveforms reduces visual contrast detection thresholds, similar to stochastic tRNS.

The paper examines how acute pain affects local and global cortical excitability in motor and prefrontal areas, revealing interindividual differences in pain processing.

This study compares monophasic and biphasic theta-burst stimulation (iTBS) effects on motor corticospinal excitability, finding monophasic iTBS induces a larger increase in motor evoked potential amplitude.

This study investigates how tDCS affects the human visual cortex by measuring changes in baseline activity and spatial tuning using fMRI.

The paper applies personalized alpha-tACS to the left parietal cortex and finds it enhances left hemifield attention and reduces posterior EEG lateralization.

This study shows that cathodal tDCS modulates cortical excitability more effectively when combined with task-induced activation, as demonstrated through behavioral and neurophysiological measures.

This study tests if transcranial random noise stimulation (tRNS) applied to the primary visual cortex or retina improves visual contrast detection, finding that V1 stimulation enhances performance while retinal stimulation does not.

The paper uses resting-state EEG and machine learning to stratify responses to tDCS in healthy children, identifying electrophysiological profiles linked to positive or negative responses.

This study investigates how tACS modulates synaptic plasticity in heterogeneous neural networks by exploiting differences in neuronal timescales.

This study uses machine learning to classify brain network engagement during tDCS-fMRI experiments, finding that a multi-electrode montage best modulates the Arcuate Fasciculus Network.

This paper investigates how TMS-evoked responses are influenced by recurrent large-scale network dynamics and local reverberatory activity, using TMS-EEG and connectome-based modeling.

This study identifies individualized rTMS targets for traumatic brain injury-associated depression using resting-state network mapping, showing improved connectivity after treatment.

This paper develops a real-time closed-loop method for estimating neural activation dynamics and input-output curves using transcranial magnetic stimulation, showing improved accuracy over conventional methods.