Project description
A digital brain twin for neuroscience research
'Digital twins' is a term used in industry to describe the development of almost exact replicas of different products for monitoring purposes and add-ons testing. The EU-funded Neurotwin project borrows the concept of digital twins for developing personalised hybrid brain models. Using neuroimaging data from Alzheimer's disease, scientists will build a model that recapitulates the networks and the dynamical landscape of the individual brain. The objective is to employ this model to design and test personalised neuromodulation protocols capable of restoring healthy dynamics. With research at the intersecting frontier of nonlinear dynamics, network theory, biophysics, engineering, neuroscience, clinical research, and ethics, Neurotwin will deliver model-driven breakthroughs in basic and clinical neuroscience, with patients ultimately benefiting from safe, individualised therapy solutions.
Objective
Neuropsychiatric disorders are a leading cause of global disability-adjusted life years, and solutions are lacking. Can digital twins be useful? At least in some cases, we hold they will be central to progress. Recent findings suggest that non-invasive brain stimulation may be a valuable option in conditions such as epilepsy or Alzheimer's (AD). Still, a better understanding of mechanisms and patient-specific factors is needed. Personalized hybrid brain models uniting the physics of electromagnetism with physiology – neurotwins or NeTs – are poised to play a fundamental role in understanding and optimizing the effects of stimulation at the individual level. We ambition to deliver disruptive solutions through model-driven, individualized therapy. We will build a computational framework – weaved and validated across scales and levels of detail– to represent the mechanisms of interaction of electric fields with brain networks and assimilate neuroimaging data. This will allow us to characterize the dynamical landscape of the individual brain and define strategies to restore healthy dynamics. Benefitting from existing databases of healthy and AD individuals, we will deliver the first human and rodent NeTs predicting the effects of stimulation on dynamics. We will then collect detailed multimodal measurements in mice and humans to improve the predictive power of local and whole-brain models under the effects of electrical stimulation, and translate these findings into a technology pipeline for the design of new personalized neuromodulation protocols which we will test in a cohort of AD patients and healthy controls in randomized double-blinded studies. With research at the intersecting frontier of nonlinear dynamics, network theory, biophysics, engineering, neuroscience, clinical research, and ethics, Neurotwin will deliver model-driven breakthroughs in basic and clinical neuroscience, with patients ultimately benefiting from safe, individualized therapy solutions.
Fields of science
- natural sciencesbiological sciencesneurobiology
- natural sciencesphysical scienceselectromagnetism and electronicselectromagnetism
- medical and health sciencesbasic medicineneurologyepilepsy
- medical and health sciencesbasic medicineneurologydementiaalzheimer
- medical and health sciencesbasic medicinephysiology
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
08035 Barcelona
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.