Behavioral Neuroscience – News and Features

The researchers say their fast and precise technique opens up potential applications in offshore power generation, ship design and real-time ocean monitoring.

A Princeton study uncovers the brain’s role in forming long-lasting food aversions. When the gut signals sickness, the brain processes and stores these experiences as aversions, influencing memory and decision-making.

A study found that repeated blast exposure in military personnel led to changes in brain connectivity, even when standard MRI exams appeared normal. More severe symptoms such as memory issues and emotional difficulties were linked to higher blasts.

A study reveals a lateralized brain circuit in the locus coeruleus that selectively processes vicarious fear. The right hemisphere regulates fear from observing others, while the left side controls direct fear.

Researchers have found that an FDA-approved arthritis drug suppresses seizures and improves memory, offering new hope for a potential epilepsy treatment.

A study identifies senolytic compounds that can inhibit specific brain enzymes associated with Alzheimer’s disease (AD) while sparing healthy enzymes. The compounds selectively target cholinesterase enzymes near amyloid plaques.

A new study has found that ghrelin, the hunger hormone, is key in driving female binge drinking, offering a new avenue to help women with alcohol use disorder.

A study by the University of Fukui used advanced brain imaging to identify key white matter connectivity differences in children with autism. These findings suggest potential MRI-based biomarkers for earlier and more precise autism diagnoses.

A study by USC reveals that sucralose, a common artificial sweetener, alters brain activity in regions controlling hunger. This change disrupts appetite regulation, leading to increased cravings and potential overeating.

A study demonstrates how machine learning and voice analysis can identify individuals with comorbid anxiety and depression. The model trained on a custom dataset can distinguish between those with mental health conditions and others.