A5076396562- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Technology and Human Factors in Education and Health
- Neural dynamics and brain function
- Complex Systems and Time Series Analysis
- Economic and Technological Developments in Russia
- Psychology of Development and Education
- Economic and Technological Systems Analysis
- Educational Methods and Teacher Development
- Education and Professional Development
- Security, Politics, and Digital Transformation
- Cognitive Abilities and Testing
- Neural and Behavioral Psychology Studies
- Cognitive Science and Mapping
Innopolis University
2019
Yuri Gagarin State Technical University of Saratov
2018
In this paper we study the structural properties of a functional network human brain during evaluation mental tasks using concept betweenness centrality. We carry out experiments involving alternating trials task with simultaneous registration electroencephalographic (EEG) data. Using wavelet phase coherence reconstruct multiplex considering different typical frequency bands EEG activity as interconnected layers. reveal that transition from resting state to cognitive leads strong outflow...
The reliable and objective assessment of intelligence personality has been a topic increasing interest contemporary neuroscience psychology. It is known that can be measured by estimating the mental speed or velocity information processing. This usually as reaction time during elementary cognitive task processing, while often assessed means questionnaires. On other hand, human affects way subject accomplishes tasks and, therefore, some features define intelligence. expected these features,...
The correlation of the characteristics academic adaptation and cognitive functions students with disabilities will make it possible to develop best strategies in implementing principle equal educational opportunities higher institutions for all students. purpose this study is analyze relationship between without health restrictions. It assumed that there a specificity HIA restrictions contribute success. involved 419 students, including 32 (7.8%) disabilities. following methods techniques...
Introduction: It is known, that many types of human activity involve a generation particular patterns in electroencephalographic recordings with common properties for different subjects. Among them one can highlight the brain response to visual stimuli occipital lobe or motor-related motor cortex. At same time, more complex induce scenarios neural dynamics brain, which depends on personal features. Personality pronounced during mental task processing. In particular, it shown personality...
Abstract The brain controls all physiological processes in the organism and regulates its interaction with external environment. way solves mental tasks is determined by individual human features, which are reflected neuronal network dynamics, therefore can be detected neurophysiological data. Every action associated a unique activity (motor-related, cognitive, etc.) represented specific oscillatory pattern multichannel electroencephalogram (EEG). connection between personal characteristics...
In this paper we found a correlation between the characteristics of person revealed in classical psychological testing on basis Schulte tables, and its neurophysiological features functioning brain obtained from time-frequency analysis EEG. The results are interesting point view choice training strategies for particular individual. We believe that interest fundamental science applied works diagnostics. study such forming EEG data can be automated do not require work highly skilled psychologists.
In this paper we study the correlation between neurophysiological processes and personal characteristics arising in of human higher mental functions. We find that activity brain correlates with results psychological tests (according to Cattell test). Experimental studies math processing are described for operation design registration multi-channel EEG data two phases (the passive wakefulness (background) special testing (active phase)).
In this paper, we analyze the inter-layer connectivity of multiplex functional network brain, where each layer represent separate timescale. For task conduct EEG experiments, which involve solving Schulte tables, widespread psycological test. Using wavelet bicoherence reconstruct on various frequency bands brain activity, that allows us to build network. concept betweenness centrality interaction in and reveal regions, demonstrate maximal activity.