Academic Editor: Youssef EL FOUTAYENI
Received |
Accepted |
Published |
21 September 2019 |
06 October 2019 |
10 March 2020 |
Abstract: Based on some experiences conducted by the NASA, we will discover that the topological data analysis can extract some information, where the classical methods were unable to do.In this paper, we focus on some leader experiences (e.g. [1], [2], [3], after what authors are convinced that irradiation caused significant reductions in dendrite complexity, spine density and altered spine morphology along medial prefrontal cortical neurons known to mediate neurotransmission interrogated by our behavioral tasks. Behavioral deficits for individual animals correlated significantly with reduced spine density and increased synaptic puncta, providing quantitative measures of risk for developing cognitive impairment.Thanks to the persistence homology, as an algebraic topology tool used in the topological data analysis approach, we propose to issue a barcode of the results of these experiences. The only data we will use is high-resolution imaging of brain tissue taken by the authors for rodents' brain before and after having bombarded them with some cosmic radiation. We will implement an algorithm that store regions adjacency under topology signature to evaluate the density of dendrites and spines. Moreover, we will design a software which issue from any humain IRM's brain an alert about the neuronal density. This can be useful, for example, to alarm the parents whose kids are addict of video games, they only need brain scan to put in the software. An alert will be issued according to the dendrite complexity and spine density readed by the software, based only on brain scan. Indeed, persistent homology persistence allowed us to interpret geometrical constitution shape, and then can be used to make shape recognition.
