Neuroimaging study reveals social learning is represented in the anterior cingulate cortex, while direct learning is represented in the ventromedial prefrontal cortex. The two areas both interact with the striatum, which helps compute both reward prediction error and social prediction error.
When hippocampal firing rates are high before exposure to a learning task, people are better able to successfully encode memory. Findings suggest the hippocampus may have a "ready to encode" mode that facilitates memory recall.
White matter tracts show increasing maturation with age from the back to the front of the brain. The maturations begin as a child reaches 9-12 years of age. The maturity correlates with a critical and formative period of development.
Neuroimaging reveals those who have spent more years studying have increased cortical thickness in the medial prefrontal cortex, anterior cingulate and orbitofrontal areas of the brain. Researchers also identified enhanced gene expression profiles in these brain regions that promote information processing and provide protection against some age-related neurodegenerative diseases.
A new neuroimaging study reveals the brains of teenage girls who self harm show similar features to adults with borderline personality disorder.
A new meta-analysis of neuroimaging data reveals people with ASD process social and nonsocial rewards differently than those without an autism diagnosis.
Machine learning can predict, with significant accuracy, whether a person is a musician or not, based on fMRI data collected while subjects listened to music.
Mapping brain activity of able body people traversing different terrains on a treadmill may lead to the development of better prosthetics, U of H researchers report.
Researchers report early indicators of depression and anxiety may be evident in the brain from birth.