Mood and physiological effects of visual stimulation with images of the natural environment in individuals with depressive and anxiety disorders.

Background: Nature therapies are gaining attention as non-pharmacological treatments for depressive and anxiety disorders, but research on their effectiveness in patients is limited. This study investigates the mood-improving effects of visual stimulation with natural environmental images in patients with depressive and anxiety disorders.

Methods: We conducted a randomized crossover comparison trial involving 60 right-handed adult participants with depressive or anxiety disorders and receiving outpatient treatment.

The effect of positive autobiographical memory retrieval on decision-making under risk: A computational model-based analysis.

Psychiatric disorders such as depressive and anxiety disorders are associated with altered decision-making under risk. Recent advances in neuroeconomics and computational psychiatry have further discomposed risk-based decision-making into distinct cognitive computational constructs and showed that there may be disorder-specific alterations in these constructs. As a result, it has been suggested these cognitive computational constructs may serve as useful behavioral biomarkers for these disorders.

Prefrontal cortex activities during verbal fluency and emotional words tasks in major depressive, adjustment, and bipolar disorders with depressive states.

Background: It can be difficult to differentiate psychiatric disorders from depressive states, with little knowledge on how to differentiate them. This study aimed to evaluate changes in brain activity during cognitive and emotional tasks in patients with depressive state to help with differential diagnoses.

Methods: Sixty-two patients with depressive states [17 with adjustment disorder (AD), 27 with major depressive disorder (MDD), and 18 with bipolar disorder (BD)] and 34 healthy controls (HC) were recruited.

Computational markers of experience- but not description-based decision-making are associated with future depressive symptoms in young adults.

Background: Early prediction of high depressive symptoms is crucial for selective intervention and the minimization of functional impairment. Recent cross-sectional studies indicated decision-making deficits in depression, which may be an important contributor to the disorder. Our goal was to test whether description- and experience-based decision making, two major neuroeconomic paradigms of decision-making under uncertainty, predict future depressive symptoms in young adults.

Crystal structures and electrochemical properties of nickel(II) complexes with ,','',-tetra-dentate Schiff base ligands.

The thiol-ate nickel complexes {2-[({2-[(2-amino-ethyl-κ)(meth-yl)amino-κ]eth-yl}imino-κ)meth-yl]benzene-thiol-ato-κ}nickel(II) chloride, [Ni(CHNS)]Cl (), and [2-({[2-(piperazin-1-yl-κ , )eth-yl]imino-κ}meth-yl)benzene-thiol-ato-κ]nickel(II) hexa-fluoro-phosphate di-chloro-methane monosolvate, [Ni(CHNS)]PF·CHCl (), were synthesized by the reactions of 2-(-butyl-thio)-benzaldehyde, tri-amines, and nickel(II) salts. Both complexes have a nickel ion surrounded by an ,','',-tetra-dentate ligand, forming a square-planar geometry. The terminal ,-chelating moiety is ,-di-alkyl-ethane-1,2-di-amine for and 1-alkyl-piperazine for .