The Neuromechanics Lab (NML)

Muscle spasticity, prevalent in various pathologies, often leads to resistance in muscle stretching, causing structural and mechanical changes in musculature and subsequent functional limitations at the affected joint. Botulinum toxin type-A (Botox) injections are widely used for spasticity management. This project focuses on assessing the effects of Botox on biceps brachii muscle mechanics and elbow joint function in patients. Using shear wave elastography, a comprehensive assessment of post-Botox changes in biceps brachii muscle mechanics compared to its pre-injection state is sought to provide key insights into Botox's effectiveness for spasticity management, contributing to refined approaches for neurological disorders.

Skeletal muscle mechanics can be assessed in vivo using shear wave elastography. However, the impact of pennation angle on the measured shear wave velocity remains unclear. This project aimed to quantify the effect by automatically aligning the ultrasound probe with muscle fiber orientation. An interdisciplinary team of PhD students from the DFG International Research and Training Group “Soft Tissue Robotics” developed this robotic ultrasound probe system and evaluated its use in a study on gastrocnemius medialis muscle stiffness.

Mechanics of individual muscles in their in vivo environment are not well studied. Shear wave elastography (SWE) as a non-invasive technique was shown to be promising in quantifying the local mechanical properties of skeletal muscles. This project aimed to investigate the mechanics of the biceps brachii muscle derived from SWE in relation to elbow joint position and contraction intensity during isometric contraction.

To design effective exercise or rehabilitation routines, it is crucial to quantify the mechanics of individual muscles. Using shear wave elastography (SWE), we investigated different dorsiflexor and plantar flexor muscles in relation to ankle joint position and function. Specifically, we tested whether SWE reflects the changes in muscle due to (i) length changes imposed by the ankle position in a passive state, and (ii) the activity level changes during isometric contractions. From these insights we aim to develop a lower leg muscle force estimation model using computational approaches and clinical tendon force measurements for validation.

Aging leads to a decline in muscle mass and force-generating capacity. Using shear wave elastography (SWE), this project captured the age-related muscular adaptation of the biceps brachii muscle. In an experimental study, 14 healthy volunteers aged 60–80 participated and their muscle mechanics were assessed, hypothesizing that the shear elastic modulus reflects (i) passive muscle force increase imposed by length change, (ii) activation-dependent mechanical changes, and (iii) differences between older and younger individuals.

Neuromuscular diseases are often accompanied by muscle weakness; however, little is known about mechanical adaptations of the affected muscles. As the latter can be assessed using ultrasound shear wave elastography, this project characterized the biceps brachii muscle of patients with Myasthenia gravis (MG) and Facioscapulohumeral Muscular Dystrophy (FSHD) and compared them with previously collected data of healthy volunteers. 

Proprioception (or afferent feedback), is known to play a central role in the regulation of muscle activity. Capturing proprioceptive information is hardly achievable in humans. 

Due to the difficulty in recording sensory signals, and the relative ease to harvest their motor counterparts, traditional modeling approaches often neglect the afferent information, focusing only on the description of muscular activity, and assuming the motor output as the net result of sensorimotor integration. 

A more complete information about the effects of sensory alteration on motor output will improve the accuracy and reliability of our models.

The goal of this project is to enhance the understanding of the somatosensory system in humans and its objective is determining the contribution of sensory information on motor command. By delivering controlled stimuli to specific somatosensory receptors and evaluating the changes in motor drive, PN2-3A aims at creating a dataset of high quality baseline and perturbed neuromechanical data and isolating the individual and compound effects of afferent information on motor output.

Current status:

The first perturbation paradigm (Blood Flow Restriction - BFR), is implemented and has been successfully tested on tens of healthy volunteers, the first study of the influence of BFR is published and two are on the way! 

The next perturbations (mechanical - vibration and electrical stimulation) have been approved by the Ethical Committee of the University of Stuttgart and are being tested as we write.

Myotonia and Charcot-Marie-Tooth type 1A (CMT1A) are distinct neuromuscular conditions. involving delayed muscle relaxation after contraction and muscle weakness, respectively. Despite unique features, their impact on muscle mechanics remains poorly understood. Using shear wave elastography, this project aims to characterize tibialis anterior muscle mechanics in individuals with myotonia and CMT1A compared to controls. Examining changes at the muscular level, (i) in a passive state for different muscle lengths, and (ii) during an activated state at different contraction intensities, we aim to identify mechanical signatures associated with each condition, advancing our understanding and potential therapeutic interventions.

The aim of this project is to provide and use comprehensive data for the development of a realistic 3D human muscle model. This model can than be used to predict changes in 3D muscle architecture, shape and force during contraction and will be adapted to different subject groups in order to take into account the influence of e.g. gender, age or sport. For our research we use an isokinetic dynamometer in combination with the Aixplorer MACH20 ultrasound system of the Neuromechanics Lab.

Pervasive Simulation And Visualization Under Resource- And Time-Constraints, nickname PerSiVal, revolves around the idea of combining continuum-biomechanics with novel human-machine-interaction concepts, and distributed systems knowledge, to bring a type of simulation that is slow by nature, into a real-time application. Preliminary results of the project show this to be possible. By using different types of neural network (NN) surrogates, real-time evaluation of the surface deformation of the biceps has already been achieved on both a non-high-end PC as well as the augmented reality headset HoloLens 2. Further development of this project could give rise to opportunities to integrate muscle recruitment strategies based on motor-unit-pools into the model, which in turn would allow these simulations to be directly informed by data recorded in the NML.

• PerSiVal was awarded the prize for best poster at the SimTech Status Seminar 2021:https://www.imsb.uni-stuttgart.de/institute/news/news/SimTech-Status-Seminar-2021-Best-Poster-Award/

Being able to decode neural signals that control skeletal muscles with high accuracy will enable scientific breakthroughs in diagnostics and treatment, including early detection of neurodegenerative diseases, optimizing personalized treatment or gene therapy, and assistive technologies like neuroprostheses. The current gold standard to decode motions is the decomposition of high-density electromyographic (EMG) signals; a well-established tool in our NML. However, a set of physical limitations limits the accuracy of EMG-based decompositions. Measuring tiny magnetic fields induced by the activity of skeletal muscles has great potential to overcome some of EMG’s inherent limitations. Thus, high-density magnetomyography (MMG) could be a game-changing methodology, which is pioneered in qMotion.    

In this project, we utilize recent technological developements to precicsly measure electrical muscle activity, both invasive and non-invasive, enabling a deeper understanding of neuromuscular disorders and their respective pathologically altered electrical activity. The multidisciplinary approach involves collaboration between neurologists, engineers, and data scientists, fostering a comprehensive understanding of the neuromuscular system and to enrich existing in-silico models.