Predicting treatment outcome in internalizing mental disorders prior to treatment initiation is
pivotal for precision mental healthcare. In this regard, resting-state functional connectivity (rs …

We aimed to systematically synthesize and quantify the utility of pre-treatment resting-state
functional magnetic resonance imaging (rs-fMRI) in predicting antipsychotic response in …

There are currently no validated treatment biomarkers in psychiatry. Resting State
Functional Connectivity (RSFC) is a popular method for investigating the neural correlates of …

Schizophrenia (SZ) is a debilitating mental illness characterized by adolescence or early
adulthood onset of psychosis, positive and negative symptoms, as well as cognitive …

The validity and reliability of diagnoses in psychiatry is a challenging topic in mental health.
The current mental health categorization is based primarily on symptoms and clinical course …

Background The recurrent nature of Major Depressive Disorder (MDD) asks for a better
understanding of mechanisms underlying relapse. Previously, self-referential processing …

While one can characterize mental health using questionnaires, such tools do not provide
direct insight into the underlying biology. By linking approaches that visualize brain activity …

Background Antipsychotics may modulate the resting state functional connectivity (rsFC) to
improve clinical symptoms in schizophrenia (Sz). Existing literature has potential …

Background: Seed-based studies on resting-state functional connectivity (rsFC) in
schizophrenia have shown disrupted connectivity involving a number of brain networks; …

Objective The pathophysiology of chronic schizophrenia may reflect long term brain
changes related to the disorder. The effect of chronicity on intrinsic functional connectivity …