Vincenzo Fiore, PhD
Vincenzo Fiore holds the position of Assistant Professor at the Icahn School of Medicine at Mount Sinai (ISMMS), department of Psychiatry. He is specialised in methods for computational psychiatry, with a specific focus on decision-making in healthy and clinical populations. Dr. Fiore graduated from the Università degli studi di Siena (IT), with a major in cognitive science, he obtained a Master of Science by research in philosophy of mind at the University of Edinburgh (UK) and a PhD in psychobiology and psychopharmacology from the Sapienza, Università di Roma (IT). During his PhD he worked at the Italian National Research Council, where he acquired skills in computational modelling and artificial neural network programming.
After the PhD, dr. Fiore worked as a research associate at the Wellcome Trust Centre for Neuroimaging, University College London (UK), and at the University of Texas at Dallas (USA), before moving to the Mount Sinai School of Medicine, with an initial appointment as Associate Scientist, followed by one year as Instructor. During this time, he pursued research in the field of decision making in substance use disorder populations, developing new computational tools and seeking validation to model predictions in fMRI data analysis. These studies resulted in several publications in high impact peer-reviewed journals and presentations in international conferences. Finally, this combination of theory-driven and data-driven efforts has formed the core of a 2019 NIDA Grant Award (R21DA049243). This grant, which has Dr. Fiore in the role of Co-Investigator, aims at describing different phenotypes in addiction severity and vulnerability, potentially aiding the development of precision diagnosis and treatments.
Fiore VG, Guertler A-CV, Yu J-C, Tatineni CC, Gu X. 2021. A change of mind: globus pallidus activity and effective connectivity during changes in choice selections. Eur. J. Neurosci. 00:1–14. doi:10.1111/ejn.15142
Yu J-C*, Fiore VG*, Briggs RW, Braud J, Rubia K, Adinoff B, Gu X. 2020. An insula-driven network computes decision uncertainty and promotes abstinence in chronic cocaine users. Eur. J. Neurosci. 52:4923-4936. doi:10.1111/EJN.14917
Fiore VG, Ognibene D, Adinoff B, Gu X. 2018. A Multilevel Computational Characterization of Endophenotypes in Addiction. ENeuro. 5(4).0151-18.2018; doi:10.1523/ENEURO.0151-18.2018
Fiore VG, Rigoli F, Stenner MP, Zaehle T, Hirth F, Heinze HJ, Dolan RJ. 2016. Changing pattern in the basal ganglia: motor switching under reduced dopaminergic drive. Sci Rep. 6: 23327. doi: 10.1038/srep23327
Fiore VG, Dolan RJ, Strausfeld NJ, Hirth F. 2015 Evolutionary conserved mechanisms for the selection and maintenance of behavioural activity. Philos Trans R Soc Lond B Biol Sci. 19;370(1684). pii: 20150053. doi: 10.1098/rstb.2015.0053.
Pubmed link: https://pubmed.ncbi.nlm.nih.gov/?sort=pubdate&term=Fiore+VG
Addiction, Cognitive Neuroscience, Computational Neuroscience, Computer Simulation, MRI, Motor Control, Neural Networks, Neurotransmitters, Parkinson's Disease, Theoretical Neuroscience
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET]