CHBH Seminar Series: Dr Maria Giulia Preti
- DateTuesday, 14 April 2026 (11:00 - 12:00) (UK)
- FormatOnline and in person
- LocationNG16, Gisbert Kapp Building, University of Birmingham, Edgbaston, Birmingham, B15 2SA
Mapping the Brain with Graph Signal Processing: From Structural Scaffolds to Functional States
Dr Maria Giulia Preti
Tuesday 14th April 2026 11am-12pm
In-person: Gisbert Kapp NG16
Online: Zoom - join here
We are delighted to announce the CHBH and CHBH PI Dr Enrico Amico will welcome Dr Maria Giulia Preti, Senior Scientist and Lecturer at EPFL Ecole Polytechnique Fédérale de Lausanne, Switzerland, will be presenting a hybrid CHBH Seminar on Mapping the Brain with Graph Signal Processing: From Structural Scaffolds to Functional States.
Magnetic resonance imaging (MRI) provides rich information about brain function from functional MRI and structural connectomics from diffusion MRI, yet understanding the complex relationship between the two remains a major challenge in neuroscience. Recent advances in connectome harmonic decomposition extend classical signal processing concepts to graph domains, offering a novel perspective on this problem. In this talk, I will first introduce the methodological framework, then present my recent results in both healthy and clinical populations, and conclude with an outlook on open questions and future directions.
Dr Maria Giulia Preti
Maria Giulia Preti received her Ph.D. degree in Bioengineering in 2013 from Politecnico di Milano, Italy. She is currently a Senior Scientist and Lecturer at the Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, and is also affiliated with the Department of Radiology and Medical Informatics at the University of Geneva, Switzerland. During her Ph.D., she was awarded a Progetto Rocca Fellowship supporting a visiting research period at the Massachusetts Institute of Technology and Harvard Medical School (Boston, USA). Her current research focuses on investigating the relationship between brain function and structure using advanced magnetic resonance imaging techniques and graph signal processing methods. She successfully applied these advanced methods to several clinical contexts, including epilepsy, Alzheimer’s disease and mild cognitive impairment, schizophrenia, and stroke.