Tag "health studies"
Scientists at the Higher School of Economics, the Institute of Bioorganic Chemistry of the Russian Academy of Sciences (IBCh RAS), and the Memorial Sloan Kettering Cancer Center created a genetic model that helps to understand how the body restrains autoimmune and oncological diseases. The researchers published their results in Nature Immunology.
Researchers at the Centre for Bioelectric Interfaces and the Centre for Cognition & Decision Making of the Higher School of Economics utilized electroencephalogram (EEG) and the event-related potential (ERP) technique to study neural activity during simultaneous interpretation of continuous prose. Using event-related potentials as an index of depth of attention to the sounding fragment, the researchers assessed the competition between memory and auditory perception during simultaneous interpretation. The results of the study were published in the journal PLoS ONE.
An international group of collaborating scientists that includes HSE Professor Vasily Vlasov has analyzed data from 195 countries on the spread of Alzheimer’s disease and other dementia between 1990 and 2016. The results have been published in the journal The Lancet Neurology.
Globally, the burden of neurological disorders (Alzheimer’s disease, Parkinson’s disease, stroke, epilepsy etc) has increased substantially over the past 25 years. This problem is the topic of a recent report by the Global Burden of Disease (GBD) international project, which was published in The Lancet. One of its participants is Vasily Vlassov, Professor at the HSE Faculty of Social Sciences.
Neuroscientists from Higher School of Economics and Charité University Clinic in Berlin have come up with a new multivariate method for predicting behavioural response to a stimulus using information about the phase of preceding neuronal oscillations recorded with EEG. The method may eventually find practical application in fields such as competitive sports, education and patient treatment. The study's findings are published in the paper ‘On optimal spatial filtering for the detection of phase coupling in multivariate neural recordings’.