Structural Transformations in Neural Clusters of the Cerebral and Cerebellar Cortex in Children
https://doi.org/10.18499/2225-7357-2019-8-4-42-48
Abstract
Objective – the study of age-related changes in neural groups of the cerebral cortex and cerebellar cortex in the process of upward ontogenesis.
Material and methods. The work was done on post-mortal material (75 left cerebral hemispheres, 62 cerebellum) obtained from children from birth to 12 years old who died as a result of injuries without damage to the brain. Using computer morphometry on the Nissl stained frontal histological sections of the cerebral cortex taken in layer III of fields 8, 6oр and 37ac, as well as in the granular layer of the paramedian lobule of the cerebellar cortex (H VII B), the area of the neural group on the section and the total area of neurons were measured as part of a grouping. Quantitative data analysis was carried out using variation statistics in annual intervals.
Results. In children from birth to 12 years, in the dynamics of developmental changes in the microstructure of the cerebral and cerebellar cortical zones associated with visual-spatial perception, 4 stages of quantitative changes in the cluster (ensemble) organization of the cortex are distinguished: I - from birth to the end of 1 year of life, II – from 1 to the end of 2 years, III – from 3 to 5–6 years, IV – from 5–6 to 8–9 years. In the cerebellum cortex, significant changes in the structure of neural clusters are observed by the end of 1 year of life, by 3 and by 5–6 years. Structural changes in neural groups differ in terms and intensity in each of the studied fields.
Conclusion. The sizes of neural clusters in the microstructure of the cerebral and cerebellar cortex are informative indicators for identifying the stages of significant age-related transformations in different zones of the human cortical formations in postnatal ontogenesis, and can be recommended for use in comparative anatomical and clinical studies.
About the Authors
T. A. TsekhmistrenkoRussian Federation
Tat'yana Tsekhmistrenko.
ul. Miklukho-Maklaya, 8, Moscow, 117198.
D. K. Obukhov
Russian Federation
St. Petersburg.
V. A. Vasil'eva
Russian Federation
Moscow.
A. B. Mazloev
Russian Federation
Moscow.
N. S. Shumeiko
Russian Federation
Moscow.
References
1. Avtandilov GG. Meditsinskaya morfometriya. Moscow: Meditsina, 1990. 384 (in Russian).
2. Lang TA, Sesik M. Kak opisyvat' statistiku v meditsine / Trans. from Eng., ed. V.P. Leonov. Moscow: Prakticheskaya meditsina, 2016. 480 (in Russian).
3. Sarkisov SA, Filimonov IN, Kononova EP, Preobrazhenskaya IS. i dr. Atlas tsitoarkhitektoniki kory bol'shogo mozga cheloveka. Moscow: Medgiz, 1955. 280 (in Russian).
4. Smirnov BM. Fizika fraktal'nykh klasterov. Moscow: Nauka, 1991. 134 (in Russian).
5. Tsekhmistrenko TA, Vasil'eva VA, Obukhov DK, Shumeiko NS. Stroenie i razvitie kory bol'shogo mozga. Moscow: Sputnik Plyus, 2019. 538 (in Russian).
6. Tsekhmistrenko TA, Vasil'eva VA, Shumeiko NS. Features modular neuroarchitecture of the cerebral cortex from birth to 7 years. Natural and technical sciences. 2015; 6(84): 188–93 (in Russian).
7. Tsekhmistrenko TA, Nikitjuk DB, Obukhov DK. Structural transformations of the human prefrontal cortex in postnatal ontogenesis. System Analysis and Management in Biomedical Systems. 2016. 15(1):8–13 (in Russian).
8. Yanyushkin VV. Klastery raspredelennoi sistemy trenazherno-modeliruyushchego kompleksa v zadache agregatsii fraktalov. Programmnye Produkty I Sistemy. 2010; 1:46–52 (in Russian).
9. Casanova MF, Casanova EL. The modular organization of the cerebral cortex: Evolutionary significance and possible links to neurodevelopmental conditions. Journal of Comparative Neurology. 2018 Nov 15;527(10):1720–30. doi: 10.1002/cne.24554.
10. Herculano-Houzel S, Catania K, Manger PR, Kaas JH. Mammalian Brains Are Made of These: A Dataset of the Numbers and Densities of Neuronal and Nonneuronal Cells in the Brain of Glires, Primates, Scandentia, Eulipotyphlans, Afrotherians and Artiodactyls, and Their Relationship with Body Mass. Brain, Behavior and Evolution. 2015;86(3–4):145–63. doi: 10.1159/000437413
11. Reimann MW, Nolte M, Scolamiero M, Turner K, Perin R, Chindemi G, et al. Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function. Frontiers in Computational Neuroscience. 2017 Jun 12;11. doi: 10.3389/fncom.2017.00048
12. Sporns O, Chilavo DR, Kaiser M, Hilgetag CC. Organization, development and function of complex brain networks. Trends in Cognitive Sciences.
13. 2004 Sep;8(9):418–25. doi: 10.1016/j.tics.2004.07.008
14. Stoodley CJ, Schmahmann JD. Functional topography of the human cerebellum. The Cerebellum: From Embryology to Diagnostic Investigations. 2018;59–70. doi: 10.1016/b978-0-444-63956-1.00004-7
15. Tsekhmistrenko TA. Quantitative changes in human cerebellar pyriform neurons from birth to the age of 20 years. Neuroscience and Behavioral Physiology. 1999 Jul;29(4):405–9. doi: 10.1007/BF02461076
16. Walter GF. Can we see the living brain? A review on in vivo visualization of the brain. International Neuroscience Journal. 2018 Jun 2;2(1):8–15. doi: 10.1515/inj-2017-0002
Review
For citations:
Tsekhmistrenko T.A., Obukhov D.K., Vasil'eva V.A., Mazloev A.B., Shumeiko N.S. Structural Transformations in Neural Clusters of the Cerebral and Cerebellar Cortex in Children. Journal of Anatomy and Histopathology. 2019;8(4):42-48. (In Russ.) https://doi.org/10.18499/2225-7357-2019-8-4-42-48