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

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

The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain mapping approaches to multivariate predictive models …

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 …

Background Despite the marked interindividual variability in the clinical presentation of
schizophrenia, the extent to which individual dimensions of psychopathology relate to the …

Memory deficits are observed in a range of psychiatric disorders, but it is unclear whether
memory deficits arise from a shared brain correlate across disorders or from various …

Despite its initial promise, neuroimaging has not been widely translated into clinical
psychiatry to assist in the prediction of diagnoses, prognoses, and optimal therapeutic …

Graph models of the brain hold great promise as a framework to study functional and
structural brain connectivity across scales and species. The network-based statistic (NBS) is …

Neuroimaging research has substantiated the functional and structural abnormalities
underlying psychiatric disorders but has, thus far, failed to have a significant impact on …

Characterizing neuropsychiatric disorders is challenging due to heterogeneity in the
population. We propose combining structural and functional neuroimaging and genomic …