ETD system

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Tesi etd-06222016-171901


Thesis type
Tesi di dottorato di ricerca
Author
MAGLIARO, CHIARA
URN
etd-06222016-171901
Title
METHODS FOR QUANTITATIVE ANALYSIS OF BRAIN MICRO-ARCHITECTURE: APPLICATION TO ANIMAL MODELS OF AUTISM AND STUDY OF HUMAN CLAUSTRAL ORGANIZATION
Settore scientifico disciplinare
ING-IND/34
Corso di studi
INGEGNERIA
Commissione
tutor Prof.ssa Ahluwalia, Arti Devi
correlatore Ing. Vanello, Nicola
Parole chiave
  • sexual dimorphism
  • morphometric
  • 3D neuron tracing
  • CLARITY
  • claustrum
Data inizio appello
25/06/2016;
Consultabilità
parziale
Data di rilascio
25/06/2019
Riassunto analitico
One of the grand challenges of digital imaging in the _eld of neuroanatomy is the ability to extensively quantify anatomical structures and thus investigate the brain&#39;s structure-function relationship in great detail.<br><br>In the light of this challenge, my PhD thesis aims to investigate the brain&#39;s micro-structure to obtain faithful and reproducible information on neuron morphology within their native three-dimensional arrangement. A rigorous work-ow was designed, that integrates delipidation methods, advanced imaging techniques and image processing algorithms to better understand neural micro-structure and its contribution to neural function. In particular, the work-ow provides i) the optimization and standardization, through the quantification of non-invasive and macroscopic indices, of the CLARITY2 protocol, a tissue clarification method which eliminates lipids and reduces tissue scattering from thick brain slices, ii) the development of a Smart Region Growing (SmRG) algorithm for single neuron tracing from confocal three-dimensional datasets representing densely packed neurons within the brain, and iii) the implementation of N3MO, an open-source tool for quantitative morphometric extraction and multivariate analysis of neurons.<br><br>The work-ow was then applied to two case studies. The first aims to investigate sexual dimorphism in animal models of autism, because of the unbalanced incidence of the disorder in males and females. The second study is focused on the assessment of neural organization in the claustrum, giving the basis for distinguishing the di_erent neuronal types with respect to their shape.<br>
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