Researchers from the HSE Institute for Cognitive Neuroscience have proposed a new method to process magnetoencephalography (MEG) data, which helps find cortical activation areas with higher precision. The method can be used in both basic research and clinical practice to diagnose a wide range of neurological disorders and to prepare patients for brain surgery. The paper describing the algorithm was published in the journal NeuroImage.
A ‘Mega-Grant’ Competition for ground-breaking research projects funded by the Russian Ministry of Science and Higher Education was held for the seventh time, and this year’s competition winners included two projects that will be based at HSE University campuses. One research group will study dynamic systems at HSE – Nizhny Novgorod, and a new social neurobiology laboratory will begin work at HSE University in Moscow.
After receiving her PhD in Psychology from the University of the Basque Country, Beatriz Martín-Luengo arrived in Moscow in 2015 to join the Centre for Cognition & Decision Making at HSE as a Research Fellow. Since then, she has pursued research interests that focus on the ecological study of human memory (i.e., variables that affect our recollection) and metamemory, which is the introspective knowledge of one's own memory capabilities (and strategies that can aid memory) and the processes involved in memory self-monitoring.