Formation of the functional organization of the cerebral cortex at rest in young schoolchildren varying in the maturity of cerebral regulatory systems: II. Analysis of EEG α-rhythm coherence

Machinskaya, R. I.; Sokolova, L.S.; Krupskaya, E. V.

doi:10.1134/s0362119707020016

Cited by 6 publications

(5 citation statements)

References 13 publications

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“…Correlation analysis performed for the whole cohort of schoolchildren, including the aboriginal and settler populations, showed that increasing age was associated with a significant (p < 0.01) decrease in the "volume" parameters (Vol, CC = -0.52; LH, CC = -0.43; RH, CC = -0.49), characterizing an increase in the level of spatial synchronization of biopotentials both overall and individually in the left and right hemispheres of the brain. Our results are consistent with published data and support existing concepts regarding the developmental spatial ordering and level of interaction of brain bioelectrical processes during morphofunctional development in ontogeny [9,28,32,38]. Analysis of variance showed that the volume parameters (LH and RH) were influenced not only by the Age factor (F = 25.2, p < 0.01), but also by the Ethnic group (F = 6.6, p < 0.02) and Gender (F = 4.0, p < 0.05) factors.…”

Section: Soroko Bekshaev and Rozhkov 786supporting

confidence: 95%

“…Pairs of spectral peaks could be detected at different alpha-range frequencies in different subjects, indicating that the a priori division of the alpha rhythm into two subranges is erroneous. The authors of [9] came to similar conclusions, using definitions of EEG band boundaries based on the frequencies of individual dominant alpha activity peaks.…”

Section: Soroko Bekshaev and Rozhkov 786mentioning

confidence: 74%

“…However, data have been reported showing that children aged 8-9 years can also show the opposite pattern, when coherence levels for oscillations of potentials in the left hemisphere are greater than those in the right [9]. The possibility that this is associated with the heterochronous formation of cortical associative systems of connections in the left and right hemispheres of the brain, which involves several age cycles, cannot be excluded.…”

Section: Eeg Correlates Of Genophenotypic Characteristics Of Brain Dementioning

confidence: 83%

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EEG Correlates of Genophenotypic Characteristics of Brain Development in Children of the Aboriginal and Settler Populations in Northeast Russia

Soroko

Bekshaev

2013

Neurosci Behav Physi

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The formation of physiological functions and the development of the body as a whole occur on the background of a close interaction between the body and the environment [13]. Thus, developmental processes at different stages of ontogeny are adaptive in nature and are determined by two very important factors: the morphofunctional maturity of physiological systems and the appropriateness of environmental factors to the functional potentials of the body [10,23].Concepts of the adaptive nature of development and the mechanisms of the systems organization of adaptive reactions are linked with questions of the sensitive and critical periods of development. A particular role is played by criteria reflecting the level of development and qualitative changes in adaptive mechanisms associated with the maturation of different parts of the brain, including the regulatory structures of the central nervous system. Structural-functional changes in the brain provide the basis for rearrangements of bioelectrical activity during ontogeny. The EEG has been found to have high prognostic value for identifying the functional level of "brain maturity" [6,8,32,34]. EEG analysis identified a series of key ("critical") periods of CNS development [1,38].The nature of brain bioelectrical activity is to a significant extent genetically determined. The genotype has been shown to have a significant role in forming the amplitudefrequency characteristics of the EEG [11,25], and data have been obtained on the genetic determination of individual characteristics of the spatial organization of the EEG [12,26]. The effects of complex natural-climatic and social-domestic conditions imposing increased requirements on physiological systems induce not only functional deviations due to the state of pressure on the regulatory systems in children's Traditional and original analytical methods were used to study the developmental characteristics of EEG dynamics in 156 children and adolescents aged 7-17 years of the aboriginal (Koryaks, Evens) and offspring of settler (Europeoid) populations living in the severe climatogeographical conditions of the northeast of the Russian Federation. New data were obtained on the age-and gender-related and ethnic characteristics of the formation of brain bioelectrical activity. EEG markers were identified characterizing changes in the structure of interactions between EEG rhythms. Developmental rearrangements of this structure were found to occur at different times for different cortical areas and frequency ranges, with onset 2-3 years later in children of the aboriginal population than in offspring of the settler population. It is suggested that these differences reflect the genophenotypic characteristics of the morphofunctional development of the CNS in children of the aboriginal and settler populations on the background of increased adaptive pressure in extreme environmental conditions.

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Section: Soroko Bekshaev and Rozhkov 786supporting

confidence: 95%

Section: Soroko Bekshaev and Rozhkov 786mentioning

confidence: 74%

Section: Eeg Correlates Of Genophenotypic Characteristics Of Brain Dementioning

confidence: 83%

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EEG Correlates of Genophenotypic Characteristics of Brain Development in Children of the Aboriginal and Settler Populations in Northeast Russia

Soroko

Bekshaev

2013

Neurosci Behav Physi

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“…18 Probablemente, la formación de circuitos está relacionada con la cantidad, intensidad y características de las activaciones sensoriales, con la integración de la información en relación con los estados de vigilia, con la motivación en diversos escenarios, así como con la especificidad de las respuestas conductuales correctas (aprendizaje y procesos cognitivos). 21,35 La comunicación entre los circuitos se establece cuando, electrotónicamente, grupos de neuronas se despolarizan sincrónicamente, generando trenes de potenciales de acción que llevan una "clave" o se hiperpolarizan y se disminuyen dichos trenes, es decir inhibición por hiperpolarización. [35][36][37] En esta hipótesis, se reúnen dos conceptos de las neurociencias: la sincronización de la actividad neuronal por oscilaciones espontáneas recurrentes y la descarga de los trenes de potenciales estocásticos.…”

Section: Discusión Y Conclusiónunclassified

“…21,35 La comunicación entre los circuitos se establece cuando, electrotónicamente, grupos de neuronas se despolarizan sincrónicamente, generando trenes de potenciales de acción que llevan una "clave" o se hiperpolarizan y se disminuyen dichos trenes, es decir inhibición por hiperpolarización. [35][36][37] En esta hipótesis, se reúnen dos conceptos de las neurociencias: la sincronización de la actividad neuronal por oscilaciones espontáneas recurrentes y la descarga de los trenes de potenciales estocásticos. 20,35,36 Los cuales, participan en los procesos cognitivos integrando dinámicamente los ensambles neuronales de circuitos cerebrales, principalmente en la conformación de redes que funcionan con ritmo α, [36][37][38][39] las cuales se forman y se integran en diferentes tiempos, generando importantes variaciones que se manifestaron en la mayor desviación estándar en los niños.…”

Section: Discusión Y Conclusiónunclassified

Evolución de la potencia absoluta, relativa e índices de ritmos electroencefalográficos en estudiantes de primaria, licenciatura y maestría

Brust-Carmona¹,

Galicia-Alvarado²,

Alfaro³

et al. 2016

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Resumen Antecedentes. La función cerebral resulta de la actividad eléctrica en redes glío-neuronales, integradas de forma activa por interacciones sensoriales, motoras y reguladores. Redes que oscilan desde la infancia y se modulan por diversos factores de maduración, incluyendo procesos educativos. Objetivo. >Identificar el espectro de potencia separado en delta (δ), theta (θ), alfa 1 (α1), alfa 2 (α2), beta 1 (β1) y beta 2 (β2) y su topografía en los hemisferios cerebrales de niños, jóvenes y adultos para establecer indicadores EEGc. Método. Se estudiaron tres grupos de 16 participantes: niños en primaria (GN), estudiantes de licenciatura (GL) y de maestría (GM). Los padres y los participantes otorgaron su consentimiento. En el aparato Nicolet se registró el EEG utilizando el sistema 10/20. Se analizaron muestras bipolares, con T Fourier se obtuvo la potencia absoluta (PA), se calculó su promedio (PPA), la potencia relativa (PR) y los índices de frecuencias lentas/rápidas. Las diferencias se evaluaron con Kruskal Wallis y la comparación de Dunnet para sub-grupos. Resultados. El PPA de seis frecuencias fue mayor en GN que en GL y GM. En éstos fue similar con excepciones, relacionadas con la distribución topográfica. El índice δ/α fue mayor en GN con particular distribución topográfica y θ/α fue más variable. La PR de α fue mayor en GL y GM comparados con GN, la de θ y de δ en algunas derivaciones, fueron mayores en el GN. Discusión y conclusión. En la maduración cerebral disminuye la PA debido a la integración de más ensambles glío-neuronales, que presentan mayor asimetría en determinada frecuencia. Estos perfiles establecen indicadores para compararlos con futuros registros EEG.

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Different bands of sleep EEG analysis based on the multiscale Jenson-Shannon Divergence

Zhang

Wang

Dai

et al. 2017

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

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Formation of the functional organization of the cerebral cortex at rest in young schoolchildren varying in the maturity of cerebral regulatory systems: II. Analysis of EEG α-rhythm coherence

Cited by 6 publications

References 13 publications

EEG Correlates of Genophenotypic Characteristics of Brain Development in Children of the Aboriginal and Settler Populations in Northeast Russia

EEG Correlates of Genophenotypic Characteristics of Brain Development in Children of the Aboriginal and Settler Populations in Northeast Russia

Evolución de la potencia absoluta, relativa e índices de ritmos electroencefalográficos en estudiantes de primaria, licenciatura y maestría

Different bands of sleep EEG analysis based on the multiscale Jenson-Shannon Divergence

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