Effect of physical activity on structural asymmetry of mouse hippocampus
Author(s) -
Т. А. Запара,
А. В. Ромащенко,
A. L. Proskura,
A. S. Ratushnyak
Publication year - 2019
Publication title -
vavilov journal of genetics and breeding
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.188
H-Index - 7
eISSN - 2500-0462
pISSN - 2500-3259
DOI - 10.18699/vj18.454
Subject(s) - hippocampus , dentate gyrus , neurogenesis , neuroscience , neural stem cell , biology , stem cell , microbiology and biotechnology
The relevance of studies of adult neurogenesis is evident in connection with the potential use of these new neurons to replace neurons lost in the process of life. Despite considerable efforts, little is known about the final fate of these cells, the functional significance of their connections and the regulation of their deve lopment. It is known that physical activity significantly increases the number of fissile progenitors, the pre cur sors of new neurons in the dentate gyrus of the hippocampus. The existing immunohistochemical methods for labeling new neurons do not allow trac ing the temporal dynamics of changes in the volume of brain structures in the same animal, induced by ex ternal impacts, such as voluntary exercise. This makes it an urgent task to develop and improve methods for longterm control of changes that occur in the adult hippocampus due to the induction of neurogenesis. The main purpose of this work was to noninvasively track, by using magnetic resonance imaging (MRI), the temporal dynamics of changes in the volume of the hippocampus in the same animals that had voluntary physical activity. It was found that voluntary exercise did not change the total volume of the mouse hippo campus. However, the difference in the volume ratio between the right and left parts of the hippocampus was significantly lower compared with the control group. The reconstruction and analysis of proteinpro tein interactions that ensure the survival of a large number of new neurons and their integration into existing neural networks in the hippocampus have been carried out. The proposed approach allows the noninvasive registration of changes in the ratio of the volumes of these paired brain structures.
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