Collecting comprehensive data sets of the same subject has become a standard in
neuroscience research and uncovering multivariate relationships among collected data sets …

Resting-state fMRI (rs-fMRI) has emerged as an alternative method to study brain function in
human and animal models. In humans, it has been widely used to study psychiatric …

Background The impact of precision psychiatry for clinical practice has not been
systematically appraised. This study aims to provide a comprehensive review of validated …

Background Over the recent years there has been a growing debate regarding the extent
and nature of the overlap in neuropathology between schizophrenia (SZ) and autism …

Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …

Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …

The alterations of connectome in schizophrenia have been reported, but the results remain
inconsistent. We conducted a systematic review and random-effects meta-analysis on …

Impairments in social coordination form a core dimension of various psychiatric disorders,
including schizophrenia. Advances in interpersonal and computational psychiatry support a …

Heterogeneity in symptom presentation, outcomes, and treatment response has long been
problematic for researchers aiming to identify biological markers of schizophrenia or …

Background There is considerable evidence of dysconnectivity within the default-mode
network (DMN) in schizophrenia, as measured during resting-state functional MRI (rs-fMRI) …