Project description
Restoring neural pathways of spared spinal motor neurons
Current neural interfaces that assist patients with muscle paralysis generally entail surgical risks and offer poor control of movements. In cases of spinal cord injury, active spinal motor neurons often remain. These can be accessed with minimally invasive measures and exploited to restore neural connections. To this aim, the ERC-funded GRASPAGAIN project will design a bidirectional neural interface that provides feedback to the brain based on real-time stimulation from efferent spinal motor neuron activity. Using deep learning methods and electromyographic sensors, it will develop high-resolution methods to activate and improve the spared output of the spinal cord by identifying action potentials of motor units for hand muscles. This technology aims to enhance voluntary movement in patients, offering greater independence and improved quality of life.
Objective
Many individuals suffer partial or complete muscle paralysis with no available cures. Even though neural interfaces have the potential to restore motor function with assistive systems, their use is still very limited. Even in the case of state-of-the-art invasive neural implants, the control of the movements of the paralyzed limbs is highly unsatisfactory. These neural interfaces suffer high surgical risks, poor control of the activity of spinal motor neurons, and inaccurate mapping of the attempted movements. Spinal motor neurons are the last cells of the nervous system that convert motor commands into movement and their activity can be accessed with minimally invasive methods. In most neural lesions, such as spinal cord injury and stroke, there are functionally active spinal motor neurons projecting to paralyzed muscles that are modulated by brain input. In this project, I propose a bidirectional interface that is driven by the real-time identification of efferent spinal motor neuron activity. We will develop novel sensing, decoding, and feedback methods with precise cellular resolution. This neural interface will map, engage, and augment the spared output of the spinal cord through new deep learning methods and hundreds of fine-tuned electromyographic sensors recording action potentials of individual motor units for the muscles controlling the hand. The output of this interface will enable highly accurate temporal associations between efferent motor neuron activity and sensorimotor feedback by delivering multiple visual and somatosensory inputs. This bidirectional neural interface will entrain and monitor the spared neural pathways at the direct cellular level with the goal of transforming and augmenting the activity of the spared motor neurons into highly functional motor dimensions. Using these new technologies, we aim to answer open questions in movement neuroscience and spinal cord injury.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences neurobiology
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- medical and health sciences basic medicine neurology stroke
- medical and health sciences medical biotechnology implants
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2023-STG
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91058 Erlangen
Germany
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