Development of a classifier for gambling disorder based on functional connections between brain regions.

Aim: Recently, a machine-learning (ML) technique has been used to create generalizable classifiers for psychiatric disorders based on information of functional connections (FCs) between brain regions at resting state. These classifiers predict diagnostic labels by a weighted linear sum (WLS) of the correlation values of a small number of selected FCs. We aimed to develop a generalizable classifier for gambling disorder (GD) from the information of FCs using the ML technique and examine relationships between WLS and clinical data.

Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts.

Large-scale neuroimaging data acquired and shared by multiple institutions are essential to advance neuroscientific understanding of pathophysiological mechanisms in psychiatric disorders, such as major depressive disorder (MDD). About 75% of studies that have applied machine learning technique to neuroimaging have been based on diagnoses by clinicians. However, an increasing number of studies have highlighted the difficulty in finding a clear association between existing clinical diagnostic categories and neurobiological abnormalities.

Cognition and interpersonal coordination of patients with schizophrenia who have sports habits.

Team sports activities are effective for improving the negative symptoms and cognitive functions in patients with schizophrenia. However, the interpersonal coordination during the sports and visual cognition of patients with schizophrenia who have team sports habits are unknown. The main objectives of this study were to test two hypotheses: first, patients with schizophrenia perform the skill requiring ball passing and receiving worse than healthy controls; and second, the patients will be impaired in these functionings in accordance with the previous studies regarding schizophrenia in general.

Enhanced carbonyl stress and disrupted white matter integrity in schizophrenia.

Carbonyl stress is a state caused by an increase in rich reactive carbonyl compounds (RCOs); RCOs facilitate the formation of advanced glycation end products (AGEs), which are associated with various age-related illnesses. Recently, enhanced carbonyl stress and lower levels of pyridoxal, a kind of vitamin B6 that scavenges RCOs, have been shown to be associated with schizophrenia. Meanwhile, lower levels of pyridoxal have been reported to decrease myelination through the biochemical process of carbonyl stress.

Framing effects on financial and health problems in gambling disorder.

Gambling disorder (GD) patients show excessively risky decision-making in the financial domain. We aimed to clarify whether GD patients show risky decision-making in domain-general or in domain-specific. Furthermore, we also investigated the effect of the well-known cognitive bias, the framing effect on GD's decision-making under risk.

Central Histamine Boosts Perirhinal Cortex Activity and Restores Forgotten Object Memories.

Background: A method that promotes the retrieval of lost long-term memories has not been well established. Histamine in the central nervous system is implicated in learning and memory, and treatment with antihistamines impairs learning and memory. Because histamine H receptor inverse agonists upregulate histamine release, the inverse agonists may enhance learning and memory.

Amygdala volume is associated with risky probability cognition in gambling disorder.

Gambling disorder (GD) is characterized by continual gambling despite negative consequences. Risky decision-making is a hallmark of the disorder. We applied a tool from behavioral economics for assessing probability cognition in both gain and loss domains to GD.