Tag "brain activity"

Researchers from the HSE Center for Language and Brain have identified previously unknown age-related changes in brain activity during the perception of auditory information in a group of children aged 7–12 years. The researchers used magnetoencephalography (MEG), an ultra-precise method of brain activity recording. The results obtained can be used to explore the impairments in language comprehension in children with autism. The study was published in the Human Brain Mapping.

Researchers from the HSE Center for Language and Brain have, for the first time, described the language abilities of Russian children with Autism Spectrum Disorder (ASD) at all linguistic levels (e.g., phonology, lexicon, morphosyntax, and discourse), using a language test that takes into account the psycholinguistic variables most relevant for Russians. The study was published in Journal of Autism and Developmental Disorders.

A team of researchers from Russia and Israel applied a new algorithm to classify the severity of autistic personality traits by studying subjects’ brain activity. The article ‘Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ε-Complexity Coefficients’ is published in the Journal of Autism and Developmental Disorders.

HSE University researchers have confirmed that the level of phonological processing skills in children can impact their ability to master reading. Complex phonological tests are best suited to detect phonological impairment. The study was published on September 6, 2020, in the Journal of Research in Reading.

A team of researchers from Russia, Germany and the USA have identified the mechanisms that form the basis for the impact of the brain’s current state on sensory processing. The results of the study were published in the paper ‘Multiple Mechanisms Link Prestimulus Neural Oscillations to Sensory Responses’ in eLIFE. 

Luca Iemi from HSE University, jointly with Niko A Busch from Westfälische Wilhelms-Universität, have found that the state of excitability of the brain — indexed byspontaneous neural oscillations - biases a person’s subjective perceptual experience, rather than their decision-making strategy. The findings will be published in eNeurounder the title ‘Moment-to-moment fluctuations in neuronal excitability bias subjective perception rather than decision-making’.