معرفی
Dr. Dafnis Batalle is a Senior Lecturer at King's College London, affiliated with the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) and the School of Biomedical Engineering & Imaging Sciences. He leads the Computational Developmental Neuroscience (CoDe-Neuro) research group and contributes to projects like the Developing Human Connectome Project and AIMS-2-TRIALS. His work focuses on understanding brain development in early life and its deviations in neurodevelopmental disorders such as autism and ADHD, using computational models, graph theory, and machine learning tools.
- Affiliations:
- Institute of Psychiatry, Psychology & Neuroscience (IoPPN)
- School of Biomedical Engineering & Imaging Sciences
- Centre for Developing Brain
- Computational Developmental Neuroscience (CoDe-Neuro) Group
- Education: Not explicitly stated in the text.
Research Interests
Batalle's research integrates mathematical and computational approaches to study brain network maturation, particularly in neonates and infants. Key areas include:
- Structural and functional brain networks
- Dynamic functional connectivity
- Graph theory and computational modeling
- Interplay of clinical, social, and genetic factors in neurodevelopment
- Early biomarkers for neurodevelopmental disorders
Research Outputs
His work spans clinical and methodological contributions, including:
- Analysis of neonatal brain connectivity patterns in preterm vs. term infants
- Use of machine learning to predict autism traits and clinical outcomes
- Investigations into genetic and environmental influences on brain development
- Development of MRI-based tools for longitudinal brain assessment
Teaching
Batalle teaches modules in clinical neurodevelopmental science, medical imaging, and applied programming in medicine. Courses include:
- MSC in Clinical Neurodevelopmental Science: Dissertation Module
- Medical Imaging Biology (7MRI0030)
- Fundamentals of Women and Children’s Health
Labs & Teams
He leads the CoDe-Neuro group, collaborating on projects like the Developing Human Connectome Project, which provides open-access neonatal brain imaging data. His team develops computational methods to analyze brain network dynamics and their clinical implications.
