Applying machine learning (ML) to objective markers may overcome prognosis uncertainty
due to the subjective nature of the diagnosis of bipolar disorder (BD). This PRISMA …

Identifying cognitive dysfunction in the early stages of Bipolar Disorder (BD) can allow for
early intervention. Previous studies have shown a strong correlation between cognitive …

Background: Cognitive profiles of BD patients show a demonstrated heterogeneity among
young and middle-aged patients, but this issue has not yet deeply explored in Older Adults …

Information concerning cognitive impairments and their association with the psychosocial
consequences of bipolar disorder is important in planning treatment. It is also important to …

Objective Persistent cognitive deficits in bipolar disorder represent a major impediment to
functional adjustment, but their static or progressive nature remains to be ascertained. The …

Background Cross-sectional and meta-analytic studies showed that patients with bipolar
disorder (BD) had neurocognitive impairments even during periods of euthymia. The aim of …

Aim To assess the differences in subjective cognitive dysfunction between major depressive
disorder (MDD) and recently diagnosed Bipolar Disorder (BD) across euthymia and mood …

Objective The aim of this study is to evaluate the discrepancy between objective cognitive
measures and cognitive subjective complaints in a sample of euthymic patients with bipolar …

Neurocognitive impairment is a core deficit of bipolar disorder (BD) since it persists into
remission. The aim of this review is to provide an overview of the main neurocognitive …

Background Dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis is thought to be
associated with more mood symptoms and worse cognitive functioning. This study examined …