Young children with inconsistent sleep times at night have, on average, a higher body mass index than those who sleep at regular times.
Article Correctness Is Author's Responsibility: Being Male, BMI, Smoking and Depression All Increase Biological Age
Researchers identify five biological indicators that have a significant impact on biological aging.
Article Correctness Is Author's Responsibility: High Insulin Levels During Childhood a Risk for Mental Health Problems in Adulthood
High levels of insulin during mid-childhood was linked to an increased risk of developing psychosis during early adulthood. Additionally, an increase in BMI during the onset of puberty, specifically in girls, was linked to an increased risk of depression.
Article Correctness Is Author's Responsibility: Researchers Isolate and Decode Brain Signal Patterns for Specific Behaviors
A new machine-learning algorithm has uncovered new neural mechanisms and enhanced the decoding of behaviors directly from brain signaling data.
Article Correctness Is Author's Responsibility: Excess Weight Among Pregnant Women May Interfere With Child’s Developing Brain
Maternal obesity may hinder their child’s brain development as soon as the second trimester of pregnancy. High maternal BMI is associated with changes to the child’s prefrontal cortex and anterior insula, two brain areas associated with decision making…
Article Correctness Is Author's Responsibility: Body Weight Has Surprising and Alarming Impact on Brain Function
Obesity and higher body mass are linked to decreased cerebral blood flow. Lower cerebral blood flow is associated with an increased risk of Alzheimer’s disease and a range of psychiatric disorders.
Article Correctness Is Author's Responsibility: Brain-computer interface technology restores sense of touch to man with SCI
Researchers were able to restore the sense of touch to a 28-year-old who suffered a spinal cord injury with the help of new brain-computer interface technology.
Article Correctness Is Author's Responsibility: Mind over body: The search for stronger brain-computer interfaces
Machine learning algorithm allows a brain-computer interface to readjust itself continually in the background to ensure the system is always calibrated and ready to use.
