Statistical analysis of the three-dimensional distribution of neurons in the mouse brain

Abstract

Event Abstract Back to Event Statistical analysis of the three-dimensional distribution of neurons in the mouse brain Patrik Krieger1*, Mehrdad Jafari-Mamaghani2 and Mikael Andersson2 1 Karolinska Institute, Department of Neuroscience, Faculty of Health,Medicine and Life Sciences, Sweden 2 Stockholm University, Sweden The distribution of neurons can be described as a spatial point pattern, a multi-dimensional stochastic process. The reorganization of neurons occurring in some brain diseases can many times be subtle, and thus improved statistical methods are necessary to adequately analyze the 3D distribution of neurons. A spatial point pattern is an extension of a regular one-dimensional stochastic point process where intensity, constant or variable, denotes the expected frequency of events on an area in 2D or inside a volume in 3D. Spatial point patterns can be divided into 3 main classes named aggregation (clustering), regularity (inhibition) and complete spatial randomness (CSR). The corresponding theoretical framework to simulate these classes uses Poisson cluster, simple Poisson inhibition and homogeneous Poisson process respectively. The use of fluorescently labeled neurons that can be visualized with confocal microscopy enables the visualization of neurons in thick tissue samples. This opens up the need for methods to analyze the 3D distribution of neurons. One commonly used method to analyze spatial point patterns in 2D is to use Ripley’s K-function. This is an intuitive and useful method for describing the properties of the underlying point process. We extended the use of Ripley´s K function from 2D to 3D to analyze the spatial distribution of neurons in the mouse brain, and developed methods for edge corrections in 3D and bootstrap methods to calculate significance. Conference: Neuroinformatics 2009, Pilsen, Czechia, 6 Sep - 8 Sep, 2009. Presentation Type: Poster Presentation Topic: General neuroinformatics Citation: Krieger P, Jafari-Mamaghani M and Andersson M (2019). Statistical analysis of the three-dimensional distribution of neurons in the mouse brain. Front. Neuroinform. Conference Abstract: Neuroinformatics 2009. doi: 10.3389/conf.neuro.11.2009.08.082 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 22 May 2009; Published Online: 09 May 2019. * Correspondence: Patrik Krieger, Karolinska Institute, Department of Neuroscience, Faculty of Health,Medicine and Life Sciences, Solna, Sweden, patrik.krieger@rub.de Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Patrik Krieger Mehrdad Jafari-Mamaghani Mikael Andersson Google Patrik Krieger Mehrdad Jafari-Mamaghani Mikael Andersson Google Scholar Patrik Krieger Mehrdad Jafari-Mamaghani Mikael Andersson PubMed Patrik Krieger Mehrdad Jafari-Mamaghani Mikael Andersson Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.