Umair Hassan

SafeLens uses nonlinear machine learning with statistical control to detect subtle, trial-varying neural dynamics in event-locked activity, outperforming traditional methods in sensitivity and specificity.

The paper investigates how sleep spindles affect corticospinal excitability and GABAergic inhibition during NREM sleep using TMS and EEG, finding no significant phase-dependent modulation of SICI.

The paper introduces and validates the TMS-RAT, a reporting tool for TMS studies, showing high inter-rater and test-retest reliability.

This paper uses TMS-EEG to show that prefrontal cortex excitability changes with cognitive load during a multi-source interference task, linking it to theta power and showing region-specific effects.

This study shows that TMS to the dlPFC modulates single-neuron activity in humans, with facilitation of inhibitory firing and suppression of excitatory drive in specific brain networks.

This study demonstrates the feasibility of timing transcranial magnetic stimulation (TMS) to interictal epileptiform discharges (IEDs) in children with SeLECTS using a CNN-based EEG pipeline.

This paper presents a preprocessing pipeline for TMS-iEEG data, showing it reduces artifacts and noise, and highlights methodological choices that impact results.

This paper characterizes human prefrontal cortex excitability using noninvasive TMS and EEG, finding sigmoidal input-output curves in 57% of participants and strong correlations between TMS-evoked potentials and motor-evoked potentials.

This study shows that sensory entrained iTBS (se-iTBS) significantly enhances motor-evoked potentials compared to standard iTBS, with effects lasting at least 30 minutes.

This study introduces seTMS, a method that enhances motor cortex excitability by synchronizing TMS pulses with sensorimotor alpha rhythms using musical rhythms, resulting in larger motor-evoked potentials.

This study shows that TMS to the DLPFC reduces high-frequency neural activity in the sgACC, suggesting a mechanism for its antidepressant effects.

The paper uses real-time spindle detection to show that sleep spindles suppress corticospinal excitability during their falling flank, contributing to phase-dependent plasticity.

This study shows that auditory confounds, not direct neuromodulation, drive motor inhibition from transcranial ultrasonic stimulation in humans.

This paper introduces a real-time EEG sleep spindle detection algorithm that enables automated stimulation during sleep spindles with high sensitivity and precision.