A new study reports diseases such as cancers, Alzheimer's disease, and diabetes may have a genetic contribution of 5-10% at most. Read More
White blood cells in the brain are regulated by the CD33 protein. CD33 decreases the likelihood that a person will develop Alzheimer's disease. Read More
Short term increases in sugar consumption raise the susceptibility to colitis and worsen symptoms of inflammatory bowel disease in mouse models. Read More
The nucleus reuniens is responsible for coordinating synchronous slow waves between the prefrontal cortex and hippocampus during sleep. The findings suggest the nucleus reuniens plays a critical role in sleep-dependant memory consolidation. Read More
Researchers noted alterations in brain activity during cognitive tasks when playing outdoor sounds in the background. Findings shed light on how the environment affects how we perceive the world around us and how we tune out to background noises. Read More
When injected into mouse models of Alzheimer's disease, two short peptides significantly improved memory, reduced inflammation, and lowered amyloid plaque buildup in the brain. Read More
How we recall our memories, either through first-person perspective or as an observer, can affect the vividness and potency of the memory. Remembering an event in first-person perspective can make the memory stronger. Read More
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Artificial intelligence is now better able to detect depression by analyzing the sound of a person's voice. Read More
Two or more hours of screen time is associated with inattention problems in preschool-aged children. Read More
Older adults who have higher levels of education, embark on more social activities and stay cognitively active have a slower rate of cognitive decline than those who engage in less self-maintenance and social activities. Read More
Researchers identify the top ten funniest words in the English language and determine there are two main kinds of predictors for the funniness of the words; those related to the form and those related to the word's meaning. Read More
A machine learning algorithm is able to successfully identify, with 78% accuracy, schizophrenia in patients based on brain scans of the superior temporal cortex. The algorithm is also 82% accurate in predicting whether or not a patient will respond positively to a specific antipsychotic medication. Read More
