Computational Modelling of the Neonatal Brain Connectivity
Develop advanced computational models of neonatal brain connectivity using multimodal MRI data. Investigate neurodevelopmental conditions through integrated structural and functional brain networks, leveraging mathematical and biophysical methods in a novel EU-funded doctoral network.
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Project Description
Project Overview
This PhD position focuses on developing computational models of the neonatal brain by combining mathematical and biophysical approaches with advanced diffusion and functional MRI data. The project aims to understand neuronal connectivity in both typically and atypically developing populations to yield new insights into neurodevelopmental disorders such as autism and attention deficit hyperactivity disorder (ADHD).
Using multimodal MRI data from a large cohort of infants including clinical subgroups, the research will create biologically plausible computational models incorporating network theory and neuronal dynamic characteristics. This integrated approach goes beyond conventional single-modality analyses, specifically tailored for studying the developing brain.
What You Will Do
You will work at the intersection of neuroscience and computational methods, using mathematical descriptions of neuronal spontaneous activity and network theory to model neonatal brain connectivity. The role involves collaboration with academic and industry partners across Europe as part of an EU-funded MSCA Doctoral Network, completing a PhD thesis, undertaking secondments with partner institutions, and participating in international training events.
Expected Outcomes
Development of next-generation in vitro and in silico neuroscience tools that accurately model structural and functional brain networks in neonates. The project is expected to improve understanding of neurodevelopmental conditions and advance computational neuroscience methods aimed at early brain development.
Why This Matters
Current understanding of brain connectivity is limited in early life stages. This research addresses this gap by adapting computational models for the neonatal brain, potentially transforming diagnosis and treatment of developmental brain disorders and providing a foundation for future neuroscience applications.
Entry Requirements
How to Apply
Eligibility
Supervisor Profile
Dr Dafnis Batalle is a researcher specializing in computational neuroscience and neonatal brain imaging. He integrates advanced MRI techniques with mathematical and biophysical modelling to investigate brain development and neurodevelopmental disorders. His work lies at the intersection of applied neuroscience and computational methods, with a strong emphasis on early life brain connectivity.