Zhi‐De Deng

The paper evaluates numerical accuracy and convergence of hippocampal electric field modeling across three methods in ECT patients, finding significant discrepancies at low resolutions.

The paper shows that adult mice can re-experience critical-period-like plasticity after sensory loss, which enhances learning when aligned with specific timing windows.

The paper presents a multichannel LI-TMS array capable of electronically steering electric fields for network-level neuromodulation, achieving cortical fields comparable to tES without scalp contact.

This study assesses how race, sex, and electrode montage affect brain-wide current flow during ECT using computational models.

The paper introduces a residual-driven adaptive mesh refinement method for charge-based boundary element modeling to improve accuracy in electrical stimulation and EEG simulations.

This paper improves the localization of auditory evoked fields using reciprocal BEM-FMM, achieving higher accuracy and focality compared to standard BEM methods.

The paper develops a computational framework to directly reconstruct mesoscale cortical conductivity maps from electron microscopy data, revealing structural heterogeneity in mouse visual cortex.

The paper analyzes synaptic cleft orientations in human and mouse brain data, finding directional biases that suggest mesoscale anisotropy in cortical layers.

This study compares electric field models derived from ultra-low-field (ULF) and 3T MRI scans, finding significant differences in cortical regions but less so in deeper brain structures.

The paper analyzes edge controllability in a macaque structural connectome to identify critical edges for state transitions in brain networks.

This study identifies the optimal frequency for seizure induction in ECT and MST to minimize stimulus intensity and potential adverse effects.

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

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.

This paper introduces an adaptive mesh refinement method to improve accuracy in electromagnetic simulations for brain stimulation and EEG, showing significant error reduction with minimal mesh expansion.

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 develops a self-supervised deep learning method to compute transcranial magnetic stimulation electric fields more efficiently than traditional finite-element methods.

The paper curates and provides analysis-ready diffusion MRI data for pediatric brain white-matter research, including automated quality control using a trained neural network.

This paper introduces angle-tuned TMS coils that improve depth-spread tradeoff and enable multisite brain stimulation with reduced footprint and field spread.

The paper develops a connectivity-based electric-field modelling approach to identify individualized TMS targets for depression treatment by combining rsFC and e-field simulations.

This study uses phase-corrected tACS to show that parietal alpha oscillations causally affect working memory retention.

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

This paper develops a statistical model of motor evoked potentials (MEPs) to simulate individualized and population-level data for transcranial stimulation applications.

This study identifies non-high frequency heart rate chaos as a noninvasive marker of REM sleep and OSAS in children, showing higher chaos during REM sleep and better detection of OSAS than conventional HRV metrics.

This study shows low-intensity magnetic stimulation repairs neural circuits via cryptochrome-dependent mechanisms, suggesting a new framework for targeted neurological treatments.