Lena H. Ting

The paper investigates how exoskeleton stiffness affects muscle spindle firing in rats by applying controlled stretches with engineered springs and measuring biomechanical responses.

This paper introduces an autoencoder-based method for computing motor modules from EMG data, showing improved stability and biomechanical interpretability compared to non-negative matrix factorization.

This paper develops a biophysical model of the muscle spindle to simulate how gamma motor neuron drive modulates spindle firing during locomotion, revealing its role as a tunable feedback controller.

This study tests the effect of different exoskeleton torque levels on balance during perturbations, finding that higher torque does not always improve balance and may even hinder it in some individuals.

This study compares cortical responses to balance perturbations between modern dancers and nondancers, finding dancers have greater cortical sensitivity despite similar biomechanical responses.

The paper shows that in younger adults, the N1 amplitude from balance perturbations is mainly from a central cortical source, while latency differences suggest contributions from other brain regions.

This paper develops a biophysical cross-bridge model to predict muscle short-range stiffness during movement, finding that cooperative myofilament activation is essential for accurate predictions.

The paper decomposes reactive joint torques during balance recovery into feedforward and feedback components using a modified sensorimotor response model.

The paper uses a neuromechanical model to decompose muscle activity into brainstem and cortical components during balance perturbations, showing increased cortical involvement with age and Parkinson's disease.

This study assesses the test-retest reliability of the N1 potential during balance perturbations, finding high reliability across sessions and individuals, suggesting its potential as a biomarker for balance function.

The paper shows gait signatures remain individual-specific across walking speeds, with 3D kinematic data achieving high accuracy in classifying individuals.

The paper investigates how cortical contributions to balance recovery increase with task difficulty using neuromechanical modeling of muscle activity and EEG data.

The paper investigates brain activity during whole-body motion perception in reactive balance, finding distinct cortical correlates for perception and motor function.

This paper introduces a data-driven model to discover individual-specific gait signatures by analyzing neuromechanical dynamics across different gait speeds and conditions.

The paper examines the correlation between the balance N1 and ERN amplitudes in young and older adults, finding shared variance but also task-specific components.

This paper introduces an approximate stochastic optimal control framework that simulates nonlinear neuromusculoskeletal models with noise, showing how muscle coordination and movement patterns emerge from dynamic interactions.

This study examines cortical network interactions during reactive balance in older adults, finding distinct associations between prefrontal-motor and somatosensory-motor coherence with balance function and fall risk.

This paper develops a biophysical model showing how muscle spindle afferent firing patterns emerge from muscle mechanics and neuromechanical interactions.

This study shows that cortical beta power increases with perturbation difficulty and decreases with better balance ability during reactive balance recovery.

This study finds that Parkinson’s disease patients have impaired perception of whole-body motion during balance perturbations, which correlates with worse balance ability.

This study identifies abnormal antagonist muscle activity as a biomarker for falls in Parkinson's disease by showing its correlation with CoM motion and fall frequency.

The paper investigates the association between lower-limb rigidity and frequent falls in Parkinson's disease using logistic regression analysis of clinical data.

This paper quantifies increased antagonist leg muscle activity during reactive balance responses in Parkinson’s disease patients, linking it to disease severity and balance ability.

The paper shows that history-dependent muscle spindle Ia afferent firing rates in relaxed rat muscle mirror muscle fiber forces, which are masked by noncontractile tissue forces.

The paper explores trade-offs between muscular effort and limb stability in muscle activation patterns across individuals, finding that small increases in effort significantly improve stability.

This study examines the association between set shifting impairments and falling in Parkinson’s disease patients and neurologically-normal older adults, finding impaired set shifting is linked to increased fall risk.