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New AI algorithm to improve brain stimulation devices to treat disease Posted: 03 Sep 2021 07:01 PM PDT For millions of people with epilepsy and movement disorders such as Parkinson's disease, electrical stimulation of the brain already is widening treatment possibilities. In the future, electrical stimulation may help people with psychiatric illness and direct brain injuries, such as stroke. |
Imaging single spine structural plasticity at the nanoscale level Posted: 03 Sep 2021 12:11 PM PDT Researchers have developed a new imaging technique capable of visualizing the dynamically changing structure of dendritic spines with unprecedented resolution. By combining two cutting-edge types of microscopies, scientists now have the tools necessary to unravel the ultrastructural complexities of spines during the process of synaptic plasticity. |
Predicting possible Alzheimer’s with nearly 100 percent accuracy Posted: 03 Sep 2021 10:26 AM PDT 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 percent. The method was developed while analyzing functional MRI images obtained from 138 subjects and performed better in terms of accuracy, sensitivity and specificity than previously developed methods. |
Statistical model defines ketamine anesthesia’s effects on the brain Posted: 03 Sep 2021 10:26 AM PDT Neuroscientists have developed a statistical framework that rigorously describes the brain state changes that patients experience under ketamine-induced anesthesia. |
New model for solving novel problems uses mental map Posted: 03 Sep 2021 10:26 AM PDT How do we make decisions about a situation we have not encountered before? New work shows that we can solve abstract problems in the same way that we can find a novel route between two known locations -- by using an internal cognitive map. |
Exploring the role of gender in scholarly authorship disputes Posted: 02 Sep 2021 02:47 PM PDT A new paper found that women -- as compared to their male counterparts -- receive less credit for the work they put into academic publications, more frequently experience disagreements over authorship, and often end up losing out on opportunities for future collaboration as a result. |
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