| Autor: |
Lyudmila V. Savchuk, A. I. Fedotchev, Kirill N. Gromov, Valeriia A. Demareva, Sergey B. Parin, Sofia Alexandrovna Polevaya, Oksana V. Balandina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics ISBN: 9783030716363 |
| DOI: |
10.1007/978-3-030-71637-0_6 |
| Popis: |
School entry is a critical stage in children’s development, that is intrinsically related to preparedness to learn as reflected in cognitive and behavioral maturation in terms of psychophysiology. The growing number of cognitive and behavioral disorders makes school maladjustment (SM) a socially relevant issue. Attention-Deficit Hyperactivity Disorder (ADHD) is reported as the most frequent but not the only reason for behavioral deviations, study difficulties and school maladjustment. The current study applies the methodology of digital psychophysiological mapping for primary-school children with and without learning difficulties. The analysis has revealed several quantitative indicators as non-specific indicators of psychopathology that accompany a high level of school maladjustment. Still other ones are specific to clinical populations. The study also revealed specific features characterizing SM and non-SM children’s performance on various sensorimotor tasks. Children with ADHD and mild cognitive impairment (MCI) are characterized by overall power reduction in heart rate spectral variability and inhibition of central regulation activity. In contrast to ADHD-children, children with MCI did not show increased tension of the regulatory systems. Children diagnosed with anxiety (AD) demonstrate a juggled pattern of central regulatory activity induced by cognitive and sensorimotor load; parietal-occipital focus of alpha-rhythm is less pronounced in the right central-parietal area for children with MCI, and children with AD demonstrate the smallest deviation from the pattern that is typically observed and represents the norm. Theta/beta relation for the MCI and the ADHD-group is significantly higher than for the control group, and children with AD do not differ from the control group on this measurement type. Our results show that the method of adaptive neuromodulation for optimizing the functional brain status is a highly promising tool for diagnosis of different clinical groups. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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