Summary
Brain-computer interfaces (BCI) hold promise in the restoration of lost sensorimotor abilities after stroke, a leading cause of disability. Yet, their effectiveness varies because BCI typically need to be customized for each patient. For this, the development of objective markers for monitoring task performance, learning, and progress remains one of the main challenges in BCI. We aim to develop biomarkers to assess the effectiveness and progress of BCI interventions. NETCORE focuses on biomarkers derived from brain-heart interplay. This approach has proven valuable, as changes in brain-heart interplay correlate with disrupted perceptual abilities and even severity/mortality after brain damage. Notably, analyzing brain-heart interplay provides more insightful information compared to studying each organ separately. Our innovative methodology combines network science and biomedical signal processing to estimate interactions between these two systems in the context of motor imagery. We will explore various approaches, such as generative data methods, multi-layer networks, higher-order dependencies, and deducing potential causal interactions from physiologically informed neural models. Then, brain-heart interplay will be studied during BCI training progression in healthy participants, to later contrast with a subset of patients who suffered stroke. Traditionally, brain-damage research mainly focuses on the brain itself, overlooking its multisystem impact. Our ultimate goal is to pave the way for future biomedical breakthroughs in the emerging field of brain-heart interplay. Through these efforts, NETCORE strives to enhance the potential of BCI in aiding brain-injured patients and showing the potential of studying brain-heart interplay in healthcare and neuroscientific research. NETCORE's development will take place at the Paris Brain Institute, which provides an ideal interdisciplinary environment for this research in terms of expertise, equipment, and human resources.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101151118 |
| Start date: | 01-04-2024 |
| End date: | 31-03-2026 |
| Total budget - Public funding: | - 211 754,00 Euro |
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Original description
Brain-computer interfaces (BCI) hold promise in the restoration of lost sensorimotor abilities after stroke, a leading cause of disability. Yet, their effectiveness varies because BCI typically need to be customized for each patient. For this, the development of objective markers for monitoring task performance, learning, and progress remains one of the main challenges in BCI. We aim to develop biomarkers to assess the effectiveness and progress of BCI interventions. NETCORE focuses on biomarkers derived from brain-heart interplay. This approach has proven valuable, as changes in brain-heart interplay correlate with disrupted perceptual abilities and even severity/mortality after brain damage. Notably, analyzing brain-heart interplay provides more insightful information compared to studying each organ separately. Our innovative methodology combines network science and biomedical signal processing to estimate interactions between these two systems in the context of motor imagery. We will explore various approaches, such as generative data methods, multi-layer networks, higher-order dependencies, and deducing potential causal interactions from physiologically informed neural models. Then, brain-heart interplay will be studied during BCI training progression in healthy participants, to later contrast with a subset of patients who suffered stroke. Traditionally, brain-damage research mainly focuses on the brain itself, overlooking its multisystem impact. Our ultimate goal is to pave the way for future biomedical breakthroughs in the emerging field of brain-heart interplay. Through these efforts, NETCORE strives to enhance the potential of BCI in aiding brain-injured patients and showing the potential of studying brain-heart interplay in healthcare and neuroscientific research. NETCORE's development will take place at the Paris Brain Institute, which provides an ideal interdisciplinary environment for this research in terms of expertise, equipment, and human resources.Status
SIGNEDCall topic
HORIZON-MSCA-2023-PF-01-01Update Date
22-11-2024
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