Psychiatric illnesses are heterogeneous in nature. No illness manifests in the same way
across individuals, and no two patients with a shared diagnosis exhibit identical symptom …

Predictive modeling using neuroimaging data has the potential to improve our
understanding of the neurobiology underlying psychiatric disorders and putatively …

Psychiatric prognosis is a difficult problem. Making a prognosis requires looking far into the
future, as opposed to making a diagnosis, which is concerned with the current state. During …

Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

Rationale The impact of neuroscience-based approaches for psychiatry on pragmatic
clinical decision-making has been limited. Although neuroscience has provided insights into …

Psychiatric research is in crisis. We highlight efforts to overcome current challenges by
focusing on the emerging field of computational psychiatry, which might enable the field to …

The nature of mental illness remains a conundrum. Traditional disease categories are
increasingly suspected to misrepresent the causes underlying mental disturbance. Yet …

The ability of our current psychiatric nosology to accurately delineate clinical populations
and inform effective treatment plans has reached a critical point with only moderately …

Psychiatric disorders are complex, involving heterogeneous symptomatology and
neurobiology that rarely involves the disruption of single, isolated brain structures. In an …

Heterogeneity is a key feature of all psychiatric disorders that manifests on many levels,
including symptoms, disease course, and biological underpinnings. These form a …