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Brain effects of anti-obesity drugs in animal models: studies in diet-induced obese mice, exploring modulators such as GLP-1 agonists or dual GLP-1-RA/GIP-RA, with a multidisciplinary approach (MRI, MRS, immunofluorescence, and systemic biomarkers).
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Brain effects of pharmacological and surgical treatment in patients with obesity: longitudinal studies using MRI and MRS to characterize responses to GLP-1-RA/GIP-RA drugs and, in the medium term, compare them with bariatric surgery.
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Biophysical models of the MRI signal: development and implementation of models, with a strong focus on diffusion imaging.
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Standardization of MRI pre- and post-processing: optimization of neuroimaging workflows and data analysis through advanced statistical methods and machine learning.
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Machine learning models applied to metabolomics and radiomics: integration of multiparametric biomarkers to characterize brain processes associated with obesity, metabolism and aging.
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New biomarkers of obesity, metabolic dysfunction and aging processes: exploration of advanced MRI sequences to evaluate neuroinflammation and cerebral metabolism.