Functional connectivity in rumination: a systematic review of magnetic resonance imaging studies.

Introduction: Rumination, defined as intrusive and repetitive thoughts in response to negative emotions, uncertainty, and inconsistency between goal and current situation, is a significant risk factor for depressive disorders. The rumination literature presents diverse findings on functional connectivity and shows heterogeneity in research methods. This systematic review seeks to integrate these findings and provide readers diverse perspectives.

Potential Effect of Vortioxetine on Restless Leg Syndrome.

Restless legs syndrome (RLS) is a chronic progressive movement disorder characterized by abnormal sensations, especially at rest and at night, as the need and urge to move the lower extremity. It has been reported that RLS severity and frequency increase in patients with anxiety and depression. It has been reported that serotonin-noradrenaline reuptake inhibitors such as venlafaxine and selective serotonin reuptake inhibitors such as citalopram, fluoxetine, paroxetine, and sertraline can cause RLS symptoms.

The importance of mentalization, coping mechanisms, and perceived stress in the prediction of resilience of healthcare workers.

Resilience is the process of overcoming stressors. Being able to examine the effect of the Covid epidemic on healthcare workers (HCWs) has provided us a unique opportunity to understand the impact of trauma on resilience. We aimed to investigate the relationship between stress, mentalization, and an individual's coping capacity against a real risk (Covid-19) and evaluate the predictors of resilience.

Deep neural network to differentiate brain activity between patients with euthymic bipolar disorders and healthy controls during verbal fluency performance: A multichannel near-infrared spectroscopy study.

In this study, we aimed to differentiate between euthymic bipolar disorder (BD) patients and healthy controls (HC) based on frontal activity measured by fNIRS that were converted to spectrograms with Convolutional Neural Networks (CNN). And also, we investigated brain regions that cause this distinction. In total, 29 BD patients and 28 HCs were recruited.

Factors associated with progression of depression, anxiety, and stress-related symptoms in outpatients and inpatients with COVID-19: A longitudinal study.

It is known that there is an increase in the frequency of psychiatric disturbances in the acute and post-illness phase of coronavirus disease (COVID-19). Comorbid psychiatric symptoms complicate the management of patients and negatively affect the prognosis, but there is no clear evidence of their progress. We aimed to determine psychiatric comorbidity in inpatients and outpatients with COVID-19 and recognize the factors that predict psychiatric comorbidity.

An Overview of Deep Learning Algorithms and Their Applications in Neuropsychiatry.

Deep learning (DL) algorithms have achieved important successes in data analysis tasks, thanks to their capability of revealing complex patterns in data. With the advance of new sensors, data storage, and processing hardware, DL algorithms start dominating various fields including neuropsychiatry. There are many types of DL algorithms for different data types from survey data to functional magnetic resonance imaging scans.

Prefrontal Activity Measured by Functional Near Infrared Spectroscopy During Divergent and Convergent Thinking in Bipolar Disorder.

Introduction: Biographical research as well as some controlled studies point out to a relationship between bipolar disorder (BD) and creativity. Neurobiological underpinnings of this relationship are unclear. Although there is no consensus on the definition of creativity, Alternative uses Test (AuT) and Remote Association Test (RAT) are frequently used to measure convergent and divergent creativity.