A new study uncovered the neural mechanisms behind how we process and memorize everyday events.
Study reveals how a parent's personality type can influence and shape the lives of their children, for better or worse.
A common genetic signature has been linked to an increased risk of substance use disorders from smoking addiction to addiction to narcotics. The findings could pave the way to the development of new therapies for substance use disorder and may help diagnose those at risk to multiple substance use disorders.
Cerebral spinal fluid may play a key, underrecognized role in normal brain development and neurodevelopmental disorders.
Gut bacteria affect the behavior of immune cells throughout the body and in the brain, including ones implicated in neurodegenerative disorders such as Alzheimer's disease. The findings open up the possibility of altering the microbiome to prevent or treat neurodegeneration.
Those who suffer from dry eye disease are at greater risk of suffering injuries to their corneas. Researchers report proteins produced by stem cells that regenerate the cornea could be targeted to treat or prevent such injuries.
While exercise and mindfulness help older adults stay physically fit and mentally well, they may not have such a strong beneficial impact on cognition as previously believed.
Parts of the brain in which the APOE gene is most active are the areas that sustain the most damage associated with Alzheimer's disease.
Study reveals how aging impairs autophagy and how enhancing autophagy can prevent cells from dying in Huntington's disease.
In fruit flies, specific neurons in the brain adapt to help the insect remain alert in dangerous situations and fall asleep after a trying day. The findings could help in the development of new therapies to treat sleep disorders in humans.
COVID-19 infection has been linked to a range of lasting neurological and psychological disorders, including depression, memory problems, and Parkinson's-like disorders, within the first year following infection.
A new multitask model artificial intelligence algorithm based on data from wearables predicts treatment outcomes on an individual basis for those with depression.
