The program of this curriculum is centered around the need to promote the translation of neuroscientific knowledge acquired in the laboratory into clinical applications, with a translational approach. PhD students will acquire specific skills to bridge the gap between designing, conducting, and interpreting experiments on cellular, animal, or human models and the challenges of experimental medicine, particularly in the fields of neurorehabilitation and drug development.
All activities will be based on the use of innovative data analysis methodologies, ranging from electrophysiology to neuroimaging, from neuropsychology to experimental techniques for studying the underlying cellular and molecular mechanisms of various functions and disorders of the central nervous system.
Strategic themes include preclinical neuroscience (genetic and molecular mechanisms of neuro-psychiatric disorders), clinical neuroscience (neurology, psychiatry, neurorehabilitation for both the adult organism and neurodevelopmental disorders), tools and methods for analyzing normal and pathological brain connectivity, design and development of hardware and software for non-invasive recording and modulation of brain activity, identification of biomarkers for neuro-psychiatric diseases, study of the gut-brain axis, identification of new pharmacological targets for neuro-psychiatric diseases, computational modeling, machine learning, optogenetics, chemogenetics, design of clinical trials, digital neuroscience with a focus on telemedicine, telerehabilitation, and the developments of serious game applications for diagnosis and cognitive training, as well as ethical aspects.
Basic disciplines such as physiology, pharmacology, neurology, epidemiology, statistics, genetics, and neuroinformatics will be part of the curriculum. Practical activities will include participation in seminars, journal clubs, report presentations, and research findings