Heres what we are reading today!
“Most research on mind-wandering has characterized it as a mental state with contents that are task unrelated or stimulus independent. However, the dynamics of mind-wandering — how mental states change over time — have remained largely neglected. Here, we introduce a dynamic framework for understanding mind-wandering and its relationship to the recruitment of large-scale brain networks.”
“Language is not simply about hearing sounds or moving our mouths. When our brain is “doing language,” it projects abstract structure. The modality (speech or sign) is secondary. “There is a misconception in the general public that sign language is not really a language,” said Berent. “Part of our mandate, through the support of the NSF, is to reveal the complex structure of sign language, and in so doing, disabuse the public of this notion.””
“A new study shows that computer technology known as machine learning is up to 93 percent accurate in correctly classifying a suicidal person and 85 percent accurate in identifying a person who is suicidal, has a mental illness but is not suicidal, or neither. These results provide strong evidence for using advanced technology as a decision-support tool to help clinicians and caregivers identify and prevent suicidal behavior, says John Pestian, PhD, professor in the divisions of Biomedical Informatics and Psychiatry at Cincinnati Children’s Hospital Medical Center and the study’s lead author.”
“Oxytocin is often referred to as the ‘love hormone’ due to its role in human behaviours including sexual arousal, recognition, trust, anxiety and mother-infant bonding. It is produced by the hypothalamus – an area of the brain that controls mood and appetite – and stored in the pituitary gland, a pea-sized organ that sits in the base of the skull.”
“Gerhardt and Rice colleagues have created the first low-cost, easy-to-use optogenetics hardware platform that biologists who have little or no training in engineering or software design can use to incorporate optogenetics testing in their labs.”
“The findings, published today in the academic journal Proceedings of the National Academy of Science (PNAS), describe how networks of connected brain regions are supported by underlying brain structure at a microscopic scale.
The research, titled ‘Relationship between cortical myeloarchitecture and electrophysiological networks’, was led by PhD student Ben Hunt working in the Sir Peter Mansfield Imaging Centre in the School of Physics and Astronomy.”