April 2021

The European Research Council (ERC) awarded Prof. Röhrle with one of the prestigious ERC Advanced Grants.

qMOTION - Simulation-enhanced Highdensity Magneto-myographic Quantum Sensor Systems for Decoding Neuromuscular Control During Motion
(ERC-AdG 2021 #101055186)

Fact Sheet

Funding Body European Research Council (ERC)
Funding Programme  Horizon Europe
Funding Call ERC Advanced Grants 2021
Acronym qMOTION
Full Title Simulation-enhanced Highdensity Magneto-myographic Quantum Sensor Systems for Decoding Neuromuscular Control During Motion
Awarded Funding 3.5 Million Euros for 5 years
Funding ID ERC-AdG 2021 #101055186
Current Status Preperation of Grant Agreement
Starting Date (Tentative) September 1, 2022


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, optimising personalised treatment or gene therapy, and assistive technologies like neuroprostheses. This breakthrough will require technology that is able to record signals from skeletal muscles in sufficient detail to allow the morpho-functional state of the neuromuscular system to be extracted. No existing technology can do this. Measuring the magnetic field induced by the flow of electrical charges in skeletal muscles, known as Magneto-myography (MMG), is expected to be the game-changing technology because magnetic fields are not attenuated by biological tissue. However, the extremely small magnetic fields involved require extremely sensitive magnetometers. The only promising option is novel quantum sensors, such as optically pumped magnetometers (OPMs), because they are small, modular, and can operate outside of specialised rooms. Our vision is to use this technology and our expertise in computational neuromechanics to decode, for the first time, neuromuscular control of skeletal muscles based on in vivo, high-density MMG data. For this purpose, we will design the first high-density MMG prototypes with up to 96 OPMs and develop custom calibration techniques. We will record magnetic fields induced by contracting skeletal muscles at the highest resolution ever measured. Such data, combined with the advanced computational musculoskeletal system models, will allow us to derive robust and reliable source localisation and separation algorithms. This will provide us with unique input for subject-specific neuromuscular models. We will demonstrate the superiority of the data over existing techniques with two applications; signs of ageing and neuromuscular disorders and show that it is possible to transfer these methodologies to clinical applications.

Hopefully many to come in the next 5 years.

Vera Tahedl


Administrative Associate (Röhrle group)

This image shows Sina Schorndorfer

Sina Schorndorfer


Coordinator GRK 2198 / SPP2311

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