The increase of mental health problems and the need for effective medical health care have
led to an investigation of machine learning that can be applied in mental health problems …

Bipolar disorder refers to a group of affective disorders, which together are characterised by
depressive and manic or hypomanic episodes. These disorders include: bipolar disorder …

Objective In this critical review, the authors appraise neuroimaging findings in bipolar
disorder in emotion-processing, emotion-regulation, and reward-processing neural circuitry …

The prevalence and burden of mental health disorders are on the rise in conflict zones, and
if left untreated, they can lead to considerable lifetime disability. Following the repeal of …

Psychiatric disorders are increasingly being recognised as having a biological basis, but
their diagnosis is made exclusively behaviourally. A promising approach for …

In the past years, mass univariate statistical analyses of neuroimaging data have been
complemented by the use of multivariate pattern analyses, especially based on machine …

Strakowski SM, Adler CM, Almeida J, Altshuler LL, Blumberg HP, Chang KD, DelBello MP,
Frangou S, McIntosh A, Phillips ML, Sussman JE, Townsend JD. The functional …

In a recent review, it was suggested that much larger cohorts are needed to prove the
diagnostic value of neuroimaging biomarkers in psychiatry. While within a sample, an …

From a neurobiological perspective there is no such thing as bipolar disorder. Rather, it is
almost certainly the case that many somewhat similar, but subtly different, pathological …

Importance The structural abnormalities in the brain that accurately differentiate unipolar
depression (UD) and bipolar depression (BD) remain unidentified. Objectives First, to …