Weekly Neuroscience Update

Those who exercise regularly may lower their risk of developing anxiety by 60%, researchers report.

A study published in the journal Sleep shows that a deep neural network model can accurately predict the brain age of healthy patients based on electroencephalogram data recorded during an overnight sleep study, and EEG-predicted brain age indices display unique characteristics within populations with different diseases.

A new study reveals a correlation between instances of eye contact and higher levels of engagement during conversations.

Researchers have developed a deep learning-based method that can predict the possible onset of Alzheimer’s disease from brain images with an accuracy of over 99 per cent. The method was developed while analysing functional MRI images obtained from 138 subjects and performed better in terms of accuracy, sensitivity and specificity than previously developed methods.

Scientists in Japan have identified metabolic compounds within the blood that are associated with dementia.

New research published in Cortex provides evidence that a brain region known as the ventromedial prefrontal cortex contributes to cognitive biases in decision making. People with damage to this area of the brain often experience changes in personality and social behavior. But the new findings suggest that ventromedial prefrontal cortex damage can also make people more rational under some circumstances.

An immunological molecule called fractalkine can boost the production of brain cells that produce myelin, a key factor in diseases such as multiple sclerosis, according to recent research from the University of Alberta.

According to two studies conducted in Serbia during the COVID-19 lockdown, elite athletes and individuals who engaged in vigorous levels of exercise demonstrated the lowest psychological distress during this time. The findings, published in Frontiers in Psychology, further underscored the importance of adaptability, showing that athletes who reduced their training schedules during the early stages of lockdown showed lower distress than those who maintained them.

Finally this week, a new AI algorithm can predict the onset of Alzheimer’s disease with an accuracy of over 99% by analyzing fMRI brain scans.

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