Attendees of social gatherings like Burning Man who report the event was a transformative experience in their lives report feeling more connected with all of humanity and are more willing to help distant strangers.
Study reveals there are not that many "girlish girls" or "boyish boys."
Physical stress responses such as nail-biting or fidgeting may have evolved to show we are in a weakened state, prompting others to act more positively toward us.
Higher levels of stress can diminish altruistic behaviors, researchers report.
Differences in gene expression in key brain areas may account for the reason some are less fearful of change than others.
Young children on the autism spectrum achieved joined attention similar to that of a neurotypical child when playing with their parents.
People who are more accurate at reading another person's emotions are better able to understand what a musician is trying to convey through their compositions. Additionally, those with higher empathetic accuracy are better able to feel the emotions conveyed through music.
Amotivation and anhedonia rather than expressive dysfunction play a critical role in determining social functioning in those with schizophrenia.
A specific set of socially tuned neurons fire across multiple regions across the prefrontal cortex and the amygdala at different times during mutual eye contact. The brain regions are recruited to compute selective aspects of interactive social gaze, suggesting the importance of a more contemplative role during social gaze interactions.
Using artificial intelligence technology, researchers have identified both risk and protective factors for depression in middle-aged to older adults. Social isolation, the study found, was the biggest risk factor for depression, followed by mobility difficulties and health issues.
Researchers discovered a bi-directional relationship between internalizing symptoms, social withdrawal, and gastrointestinal problems in children and teens on the autism spectrum, reporting the symptoms seem to impact one another simultaneously.
A new AI algorithm assesses risk factors across three domains to predict the risk of children developing conduct disorders with a high degree of accuracy.
