Marom Bikson

This study evaluates the acute effects of four taVNS configurations on cardiorespiratory physiology, finding that unilateral left 25 Hz tragus stimulation increases heart rate variability compared to earlobe control.

The paper evaluates the MNI152 brain template's fidelity to real human morphology and finds it systematically mismatches population anatomy, suggesting the need for more accurate templates.

This paper shows that heart rate, heart rate variability, and respiration can be estimated from tDCS output voltage without additional sensors.

The paper introduces a disposable wearable electrotherapy patch that accelerates wound healing in rats by delivering electrical stimulation comparable to a conventional device, with reduced closure time and enhanced tissue remodeling.

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 paper introduces an MRI-free and neuronavigation-free method for localizing deep brain targets using scalp measurements, achieving a mean localization error of 3.82 mm.

This study characterizes electrophysiological signals evoked by spinal cord stimulation in rats and macaques, identifying distinct waveform features and potential physiological origins of ECAPs, doublets, ESAPs, and EMG signals.

This paper introduces High-Capacity tDCS (HC-tDCS) and demonstrates its tolerability and increased cortical stimulation compared to conventional tDCS.

This study compares frequency-dependent and capacitive tissue properties in spinal cord stimulation models to assess their impact on electric fields and heating, finding that quasi-static approximation remains valid under certain conditions.

The paper develops an MRI-free virtual neuronavigation method for TMS using scalp measurements and a standard head model, achieving 2.75 mm mean error in simulated tests.

The paper introduces a statistical method to adjust macroscopic electric field predictions by accounting for microscopic field distortions caused by brain microstructure, improving alignment with experimental neuron activation thresholds.

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 study shows that clinically relevant electric fields modulate neuronal firing rates in rats, with excitatory neurons showing polarity-specific responses.

This paper predicts dendritic polarization of dorsal horn interneurons during spinal cord stimulation using a computational model, finding that islet cells show the highest polarization between electrodes.

The paper models how different cortical cell types respond to tACS at various frequencies, finding frequency-dependent polarization and entrainment patterns.

The paper identifies and characterizes a novel electrophysiological signal, ESAPs, evoked by spinal cord stimulation that reflects synaptic activity in the spinal cord.

This paper introduces a deep learning framework for automated closed-loop neuromodulation that uses diverse datasets and multi-modal stimulation techniques to improve intervention timing and performance.

This study shows temporal interference stimulation selectively targets deep brain regions by modulating neural oscillations through network adaptation and membrane time-constants.

The paper introduces a framework for neurovascular-modulation based on brain vascular ultra-structure, showing how electrical fields across the BBB and neuronal polarization can be modulated for therapeutic applications.

The paper introduces an open-source SCS model with high anatomical detail and precision for simulating spinal cord stimulation.

This study shows that direct current stimulation enhances Hebbian plasticity in rat hippocampus by modulating synaptic strength through depolarization.

This study develops a method to individualize tDCS dosage using reverse-calculated electric field models and TES motor threshold, finding TES MT correlates with E-field-based dose.

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.

The paper introduces a community-driven open database to consolidate tDCS study parameters and support research and clinical applications.

This study investigates how synaptic and non-synaptic mechanisms interact during seizure activity in rat hippocampal slices, finding that non-synaptic processes drive seizure onset while synaptic inhibition modulates event progression.

This study shows that tDCS modulates cortico-spinal excitability differently based on the orientation of current flow relative to cortical columns and TMS coil orientation.

This paper derives a method to optimally target brain areas using EEG recordings for transcranial electrical stimulation, showing it works well with realistic models.