Delirium with a fever could be an early marker of COVID-19, report researchers from the Universitat Oberta de Catalunya (UOC). The manifestation of this state of confusion, when accompanied by high fever, should be considered an early marker of the disease, particularly in the case of elderly patients, they argue. Delirium is a state of confusion in which the person feels out of touch with reality, as if they are dreaming.
Researchers at the University of Exeter have created a new epigenetic clock for the human brain. Because it uses human brain tissue samples, it is a far more accurate clock than previous versions based on blood samples or other tissues. The research area of epigenetic clocks is a really exciting, and has the potential to help us understand the mechanisms involved in aging. Our new clock will help us explore accelerated aging in the human brain.
Machine-learning has been employed to classify fMRI data by scientists from Texas Tech University. In a recent study1, they developed a type of deep-learning algorithm known as a convolutional neural network (CNN) that can differentiate among the fMRI signals of healthy people, people with mild cognitive impairment, and people with Alzheimer’s disease (AD). Network activation map from the output of second temporal convolution layer (64 channels) mapped onto MNI brain atlas.
The question of how to find a steady romantic partnership is among the oldest human predicaments. There is consequently considerable interest in what factors might predict partnership success. Traits like warmth, conscientiousness, agreeableness and trust all seem to matter. But can behaviour in childhood predict your future partnering prospects? In a new study published with my colleagues in Journal of Child Psychology and Psychiatry we show that children rated by their elementary schoolteachers as being anxious or inattentive were more likely to remain unpartnered from age 18 to 35 years.
A very high resolution map of the white-grey matter border across the entire living brain has been created by a multidisciplinary team led by Nikolaus Weiskopf from the Max Planck Institute for Human Cognitive and Brain Sciences. Credit: MPI CBS) Current neuroscience thinks of the brain as composed of two tissue types. Billions of neurons make up the gray matter, forming a thin layer on the brain’s surface.
One out of every 3,000 people carries a genetic defect known as 22q11.2 deletion syndrome, or 22q11DS. It is one of the most widespread chromosomal deletions known to occur in humans. People carrying 22q11DS are at a 30-times higher risk for schizophrenia than those in the general population. This dwarfs the magnitude of all other known genetic or environmental risk factors. Additionally, some 30%-40% of individuals with this deletion receive a diagnosis of autism spectrum disorder early in their lives.
A new approach to dense functional imaging of brain activity, called integrated neurophotonics, is unveiled in a new paper1 from researchers at California Institute of Technology. The technique may enable the activity of all of the thousands to millions of neurons in a particular brain circuit to be observed in real time. Credit: Roukes et. al The approach uses miniature arrays of optical microchips that can be implanted at any depth inside the brain.
The molecule STAT3 plays an important role in the serotonergic system as a mediator for controlling emotion, new research1 from Medical University of Vienna researchers indicates. The finding points to a mechanism linking the immune system, serotonin transmission and mood disorders like depression. Previous research indicates that inflammatory processes play a key role in some psychiatric disorders. Of particular interest is the interleukin 6/STAT3 signal transduction pathway, associated with depression2, schizophrenia3, and bipolar disorder.