PINGED
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Personalizing virtual brains with neurodegenerative disease: noninvasive stimula...
Personalizing virtual brains with neurodegenerative disease: noninvasive stimulation approach
Tracking of individual progression trajectory of neurodegenerative brain disease such as Alzheimer's disease (AD) can enable targeted interventions to prolong active living with increased quality of life and substantially reduce t...
Tracking of individual progression trajectory of neurodegenerative brain disease such as Alzheimer's disease (AD) can enable targeted interventions to prolong active living with increased quality of life and substantially reduce the socioeconomic burden. Approaches based on mechanistic modeling have the capacity to integrate heterogeneous data and capture the inter-individual variability, but their application in the case of AD is challenging due to non-idetifiability of relevant parameters from spontaneous brain activity. This project will use the recently developed technology for noninvasive brain stimulation - the temporal interference - to address the key question: is the response to stimulation sufficiently informative to allow estimation of the model parameters reflecting the position of an individual along the AD progression trajectory. The main objective of this project is to develop and validate a proof-of-concept of a brain health status estimation workflow informed by both the response to targeted non-invasive stimulation (TI) and the resting state dynamics (fMRI), while leveraging the personalized model-based inference. The project will advance along following main axes: systematic analysis of parameter identifiability using both stimulation and resting state paradigms, development of a personalization workflow combining structural data, resting state fMRI and the TI, and evaluation of model inversion performance using response to different stimulation targets. The results of the project have the potential to pioneer personalized mechanistic model inversion in the context of AD, and to pave the way for further development of the AD monitoring workflows which can be adapted in routine health screening practices.
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Duración del proyecto: 28 meses
Fecha Inicio: 2023-05-16
Fecha Fin: 2025-09-30
Fecha Fin: 2025-09-30
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-05-16
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
Presupuesto
El presupuesto total del proyecto asciende a
166K€
Líder del proyecto
Masarykova univerzita
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5