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Analysing the distribution of synaptic vesicles using a spatial point process model

Published: 20 September 2014 Publication History

Abstract

Stress can affect the brain functionality in many ways. As the synaptic vesicles have a major role in nervous signal transportation in synapses, their distribution in relationship to the active zone is very important in studying the neuron responses. We study the effect of stress on brain functionality by statistically modelling the distribution of the synaptic vesicles in two groups of rats: a control group subjected to sham stress and a stressed group subjected to a single acute foot-shock (FS)-stress episode.
We hypothesize that the synaptic vesicles have different spatial distributions in the two groups. The spatial distributions are modelled using spatial point process models with an inhomogeneous conditional intensity and repulsive pair-wise interactions. Our results verify the hypothesis that the two groups have different spatial distributions.

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Cited By

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  • (2017)Some Recent Developments in Statistics for Spatial Point PatternsAnnual Review of Statistics and Its Application10.1146/annurev-statistics-060116-0540554:1(317-342)Online publication date: 7-Mar-2017
  • (2016)3D analysis of synaptic vesicle density and distribution after acute foot‐shock stress by using serial section transmission electron microscopyJournal of Microscopy10.1111/jmi.12468265:1(101-110)Online publication date: 22-Aug-2016
  • (2016)Towards optimal Takacs–Fiksel estimationSpatial Statistics10.1016/j.spasta.2016.08.00218(396-411)Online publication date: Nov-2016
  • Show More Cited By

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Published In

cover image ACM Conferences
BCB '14: Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
September 2014
851 pages
ISBN:9781450328944
DOI:10.1145/2649387
  • General Chairs:
  • Pierre Baldi,
  • Wei Wang
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 20 September 2014

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Author Tags

  1. serial section transmission electron microscopy images
  2. spatial point process
  3. stress
  4. synaptic vesicles distribution

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  • Research-article

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  • Villum Foundation

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BCB '14
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BCB '14: ACM-BCB '14
September 20 - 23, 2014
California, Newport Beach

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Overall Acceptance Rate 254 of 885 submissions, 29%

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Cited By

View all
  • (2017)Some Recent Developments in Statistics for Spatial Point PatternsAnnual Review of Statistics and Its Application10.1146/annurev-statistics-060116-0540554:1(317-342)Online publication date: 7-Mar-2017
  • (2016)3D analysis of synaptic vesicle density and distribution after acute foot‐shock stress by using serial section transmission electron microscopyJournal of Microscopy10.1111/jmi.12468265:1(101-110)Online publication date: 22-Aug-2016
  • (2016)Towards optimal Takacs–Fiksel estimationSpatial Statistics10.1016/j.spasta.2016.08.00218(396-411)Online publication date: Nov-2016
  • (2015)Analysis of shape and spatial interaction of synaptic vesicles using data from focused ion beam scanning electron microscopy (FIB-SEM)Frontiers in Neuroanatomy10.3389/fnana.2015.001169Online publication date: 1-Sep-2015

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