Transcranial Magnetic Stimulation Studies

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.

The paper introduces a MATLAB software package for TMS coil analysis and design, using FMM to compute fields and inductances with high accuracy.

This paper introduces a multi-channel TMS system for precise stimulus orientation control during ultra-high-field MRI in preclinical studies, enabling concurrent brain stimulation and imaging without compromising imaging quality.

This study investigates how TMS affects neural rhythms in different brain regions using intracranial recordings, finding both low-frequency increases and high-frequency decreases in response to stimulation.

This study investigates the effect of tDCS on frontal alpha asymmetry and attentional bias in reward contexts, finding no impact on FAA or behavior but suggesting noradrenergic mechanisms.

This study investigates the effects of dual DLPFC and M1-tDCS on complex sequential learning in a whole body serial reaction time task but finds no significant differences between stimulation groups.

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 shows that pairing visual stimuli with transcranial magnetic stimulation (TMS) of the motor cortex can create stimulus-response associations that influence behavior, with effects dependent on TMS intensity and timing.

This study validates models of TMS-induced brain activation using concurrent TMS/fMRI in healthy volunteers, finding that electric field magnitude best predicts neuronal activation.

The paper develops a computational model to explore the dose-dependency of theta-burst transcranial magnetic stimulation (TBS) protocols, capturing non-linearities in synaptic plasticity and metaplasticity.

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 paper uses machine learning to predict how brain stimulation affects skill acquisition, finding that its benefits depend on an individual's learning efficiency rather than age.

This study investigates how different tDCS doses affect neurometabolites using MRS, finding significant dose-dependent changes in GABA with higher currents.

This paper demonstrates that multielectrode network stimulation (ME-NETS) produces a larger and more reliable modulation of brain network connectivity compared to single-electrode stimulation during tDCS-fMRI.

This study examines how individual differences in electric field magnitude during prefrontal tDCS correlate with working memory performance in emotional and non-emotional tasks.

This study examines the effect of cTBS on bimanual coordination in in/anti-phase modes, finding no significant disruption despite visual cues improving performance.

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 investigates how PMd stimulation affects M1 neuroplasticity in young and older adults, finding that PMd disrupts specific I-wave facilitation in both groups.

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 compares online and offline dual-site tACS on functional connectivity and response inhibition, finding that online tACS increases connectivity and improves inhibition, while offline tACS improves inhibition through different mechanisms.

This paper optimises asymmetric field pulses for transcranial magnetic stimulation to reduce energy loss and coil heating, showing that asymmetric pulses with specific waveform characteristics are more power-efficient than conventional ones.

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