Immuno-Histochemical and Morphometric Characteristics NPY-Positive Neurons of the Different Fields of Human Cerebral Cortex at the Chronical Ischemia

10.12737/2741 ◽  
2013 ◽  
Vol 20 (4) ◽  
pp. 102-108
Author(s):  
Акулинин ◽  
V. Akulinin ◽  
Степанов ◽  
S. Stepanov ◽  
Сергеев ◽  
...  

mmuno-histochemical (NPY - neuropeptide Y) and morphometric study of the distribution and architectonics of NPY immune-positive brakes of interneurons layer III of various fractions (field 4, 10, 17 and 21) of neocortex human normal (n=5) and chronic ischemia (n=15, perhifocal area tumors) was carried out. Verification of NPY-positive brake interneurons held on the content of NPY, the shape of their bodies and processes. In all studied fields in norm and under ischemia the basket cells, Martinotti cells and releasing secret of inter-neurons were identified. It was established that in case of chronic ischemia in all the studied fields cortex of the relative size of NPY-immune-positive structures (labelled bodies of neurons and their appendages) are statistically significantly higher than in control: in field 10 - in 1.95, in field 4 - 1,85, in field 21 - 2,17, in field 17 - 2,15 times. The received results testify to a compensatory increase in the expression of NPY in the intact interneurons of perifocal area of human neocortex with chronic ischemia. Increase in the volume of NPY- immune-positive material was due to the expansion and thickening of the processes of interneurons. The authors examine the hypothesis about the possible role of activation and hypertrophy of NPY- immune-positive interneurons in the regulation of the balance of brake systems and exciting damaged brain cortex and as one of the mechanisms for the protection of neural networks from chronic ischemic damage.




Author(s):  
V. V. Nefedev

For the definition and implementation of breakthrough technologies the most important is the role of scientific and technical forecasting. Well-known forecasting methods based on extrapolation, expert assessments and mathematical modeling are not universal and have a number of significant disadvantages. The article proposes an original method of scientific and technical forecasting based on the use of the methodology of artificial neural networks. 



Author(s):  
Siddhartha Satpathi ◽  
Harsh Gupta ◽  
Shiyu Liang ◽  
R Srikant
Keyword(s):  




1982 ◽  
Vol 77 (5) ◽  
pp. 465-485 ◽  
Author(s):  
F. Z. Meerson ◽  
V. E. Kagan ◽  
Yu. P. Kozlov ◽  
L. M. Belkina ◽  
Yu. V. Arkhipenko


2009 ◽  
Vol 101 (6) ◽  
pp. 2889-2897 ◽  
Author(s):  
Andre Kaminiarz ◽  
Kerstin Königs ◽  
Frank Bremmer

Different types of fast eye movements, including saccades and fast phases of optokinetic nystagmus (OKN) and optokinetic afternystagmus (OKAN), are coded by only partially overlapping neural networks. This is a likely cause for the differences that have been reported for the dynamic parameters of fast eye movements. The dependence of two of these parameters—peak velocity and duration—on saccadic amplitude has been termed “main sequence.” The main sequence of OKAN fast phases has not yet been analyzed. These eye movements are unique in that they are generated by purely subcortical control mechanisms and that they occur in complete darkness. In this study, we recorded fast phases of OKAN and OKN as well as visually guided and spontaneous saccades under identical background conditions because background characteristics have been reported to influence the main sequence of saccades. Our data clearly show that fast phases of OKAN and OKN differ with respect to their main sequence. OKAN fast phases were characterized by their lower peak velocities and longer durations compared with those of OKN fast phases. Furthermore we found that the main sequence of spontaneous saccades depends heavily on background characteristics, with saccades in darkness being slower and lasting longer. On the contrary, the main sequence of visually guided saccades depended on background characteristics only very slightly. This implies that the existence of a visual saccade target largely cancels out the effect of background luminance. Our data underline the critical role of environmental conditions (light vs. darkness), behavioral tasks (e.g., spontaneous vs. visually guided), and the underlying neural networks for the exact spatiotemporal characteristics of fast eye movements.



1997 ◽  
Vol 241 (2) ◽  
pp. 476-480 ◽  
Author(s):  
Yasuhito Uezono ◽  
Yoko Ueda ◽  
Susumu Ueno ◽  
Izumi Shibuya ◽  
Nobuyuki Yanagihara ◽  
...  


1995 ◽  
Vol 52 (6) ◽  
pp. 6593-6606 ◽  
Author(s):  
Sergio Albeverio ◽  
Jianfeng Feng ◽  
Minping Qian
Keyword(s):  


Author(s):  
Virginia Mato-Abad ◽  
Isabel Jiménez ◽  
Francisco Cedrón Santaeufemia ◽  
Juan M. Pías-Peleteiro ◽  
Purificación Cacabelos ◽  
...  


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