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Decoding multimodal TBI markers for optimized recovery

Objective

Traumatic brain injury (TBI) occurs when mechanical forces shake the brain and disrupt normal brain function, affecting biological processes like cellular, molecular, and electrical functions. These processes are highly interconnected, making it difficult to fully understand TBI recovery with traditional single-discipline methods. Current approaches often fail to address the complexity of TBI even in mild to moderate cases, creating an urgent need for new methods to overcome existing limits in data collection, integration, and interpretation across multiple subdisciplines.
In this project, I will set up a new framework for a comprehensive and systematic analysis of recovery processes post-trauma and the effect of electrical stimulation (ES) in in vitro models for mild to moderate TBI, which allows for a detailed examination in a controlled environment. Our experimental workflow will integrate insights on cellular morphology and structure from microscopy images, electrical activity, and network synchronization from multi-electrode array recordings, protein expression changes from immunostaining, and cell viability and stress markers found in the cell medium. Calcium imaging will provide insights into ionic homeostasis maintenance. An AI-driven data fusion approach will facilitate the analysis of these multimodal datasets revealing hidden patterns and relationships that traditional approaches cannot uncover.
Specifically, we want to address questions such as
• How do astrocyte protein expression and neuronal electrical activity relate to repair after TBI?
• To what extent can ES prevent neuronal death, and what are the best stimulation protocols? When should we start the treatment?
• Are there early biomarkers that can predict recovery success or delays?
This project introduces a cutting-edge method by integrating a multimodal data fusion setup and AI-based synthesis to tackle TBI recovery from multiple angles, capturing the complexity that standard approaches miss.

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Topic(s)

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HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

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(opens in new window) ERC-2025-STG

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Host institution

TECHNISCHE UNIVERSITAET GRAZ
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 278 346,00
Address
RECHBAUERSTRASSE 12
8010 Graz
Austria

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Region
Südösterreich Steiermark Graz
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 278 346,25

Beneficiaries (2)

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