Team members
Faculty and staff

Linda Antonucci, PhD – Assistant Professor in Clinical Psychology
Interested in personalized psychiatry and clinical psychology

Giulio Pergola, PhD – Assistant Professor in Biological Psychology
Interested in inter-individual variation in brain and behavior

Tiziana Quarto, PhD – MEG staff scientist
Interested in fMRI and MEG correlates of cognitive and emotional affective phenotypes
Postdoctoral Fellows:

Leonardo Fazio, PhD
Interested in task- and resting-state based functional neuroimaging

Christian Valt, PhD
Interested in the association of MEG with risk for psychosis
Board-certified Psychiatrists:

Interested in neurobiological mechanisms underlying response to antipsychotics

Interested in the effects of antipsychotics on brain function
Residents in Psychiatry:

Interested in neuroimaging-based normative models and their relevance to mental health
Interested in early identification of clinical high risk for psychosis

Interested in MEG endophenotypes of schizophrenia
PhD students in Applied Neuroscience:
Annalisa Lella, MS
Interested in structural neuroimaging and data mining affective neuroscience

Interested in multimodal functional connectivity
Alessandra Raio, MS
Interested in machine learning based applications to predictions in clinical and neuropsychological datasets
Interested in genetic variation associated with gene co-expression

Giuseppe Stolfa, MS
Interested in graph theory techniques applied to functional neuroimaging
Research Interns:

Alumni:
Vita Maria Calia, Psychiatrist
Interested in the association between MEG correlates and psychosis remission
Pasquale Di Carlo, Psychiatrist, PhD candidate
Interested in biostatistics, transcriptomics and epigenetics of schizophrenia
Piergiuseppe Di Palo, Psychiatrist
Interested in clinical profiling and genetic risk of patients with schizophrenia
Monica Nicoli, Psychologist
Interested in resting state-based functional connectivity and its association with cognitive indices

Marco Papalino, Psychiatrist
Interested in translational genetics and treatment response prediction



