Esra Neufeld

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 current source density estimation can produce incorrect results in dense electrode arrays due to small inter-electrode spacing.

This study uses hippocampal stimulation during sleep to investigate memory consolidation, finding that timed stimulation improves memory retention and alters sleep oscillatory dynamics.

BraiNN is a framework for fast, personalized whole-brain network modeling using neural mass models, achieving rapid parameter fitting on consumer GPUs for clinical applications.

This study shows that thalamic temporal interference stimulation with a 5Hz envelope increases sleep spindle density through subthreshold resonance in thalamocortical relay neurons.

The paper develops a computational model to simulate tSCS effects on motor function, finding that somatosensory afferents have lower thresholds than motor efferents, and that anode placement and waveform type influence recruitment patterns.

This paper uses computational modeling to identify neural populations and connectivity patterns underlying the whisker-flick EEG waveform in rodents.

The paper develops a semi-analytic model to simulate compound action potentials in complex nerves and validates it against in vivo measurements, showing how fascicle activation affects signal shape and magnitude.

The paper introduces o2S2PARC, an open-source platform for computational modeling and analysis, highlighting its features, applications, and adoption.

The paper introduces BlueRecording, a pipeline for efficiently calculating extracellular signals in large-scale neural simulations, and applies it to study signal contributions in a rat model.

This paper introduces multipolar temporal interference (mTI), a method that improves focal control of non-invasive deep brain stimulation in animals.

This paper introduces SpIC3D, a 3D imaging method for high-resolution visualization of spinal structures, enabling quantification of neuronal density and volumetric reconstruction for computational modeling.

This study systematically analyzes the safety and exposure risks of non-invasive brain stimulation in the presence of implants using computational models and simulations.

This study uses tTIS to show that 80Hz striatal stimulation disrupts reinforcement learning of motor skills, while 20Hz does not, indicating a frequency-dependent effect on striatal function.

This study examines if theta-burst patterned tTIS targeting the hippocampus improves associative memory consolidation in older adults, finding it enhances recollection time 24 hours post-stimulation.

This paper demonstrates that bilateral temporal interference stimulation can effectively reduce obstructive sleep apnea events in a subgroup of female patients with improved tolerability and reduced stimulation amplitude.

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 proposes frequency-dependent safety thresholds for temporal interference stimulation (TIS) by comparing it to established brain stimulation methods using biophysical simulations.

This study demonstrates that noninvasive theta burst stimulation of the human striatum increases striatal activity and improves motor skill learning, particularly in older adults.

This study validates non-invasive temporal interference stimulation of the human hippocampus, showing it can modulate activity and improve episodic memory.

Temporal interference stimulation suppresses epileptic biomarkers in mice and shows translatability to humans.

This paper demonstrates a noninvasive method to stimulate peripheral nerves using temporally-interfering electrical fields, achieving effective stimulation with lower current amplitudes than traditional methods.

This paper models low-intensity focused ultrasound's ability to selectively recruit myelinated or unmyelinated nerve fibers through parametric sub-spaces and membrane electromechanical coupling differences.

The paper describes the development of a resource for the autonomic nervous system community, including databases, connectivity maps, and simulation tools.