Highlights•We summarize recent progress in computational and physiological
models.•These advances provide a basis for future diagnostic applications in psychiatry.•A …

The functional optimization of neural ensembles is central to human higher cognitive
functions. When the functions through which neural activity is tuned fail to develop or break …

This work is in line with an on-going effort tending toward a computational (quantitative and
refutable) understanding of human neuro-cognitive processes. Many sophisticated models …

Importance Previous evidence has implicated corticostriatal abnormalities in the
pathophysiology of psychosis. Although the striatum is the primary target of all efficacious …

Graph theory is now becoming a standard tool in system‐level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network representation …

Background: In major depressive disorder (MDD), cognitive dysfunctions strongly contribute
to functional impairments but are barely addressed in current therapies. Novel treatment …

Individuals at clinical high-risk (CHR) for psychosis are characterized by attenuated
psychotic symptoms. Only a minority of CHR individuals convert to full-blown psychosis …

Neuroimaging increasingly exploits machine learning techniques in an attempt to achieve
clinically relevant single-subject predictions. An alternative to machine learning, which tries …

Although emerging evidence suggests that altered functional connectivity (FC) of large-scale
neural networks is associated with disturbances in individuals at high-risk for psychosis, the …

Diagnosis and individualized treatment of autism spectrum disorder (ASD) represent major
problems for contemporary psychiatry. Tackling these problems requires guidance by a …