Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/2911
Title: Which brainstem cells generate the respiration cycles?
Authors: Irvine, A.W. 
Tsechpenakis, Gabriel 
Chatzis, Sotirios P. 
metadata.dc.contributor.other: Χατζής, Σωτήριος Π.
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Diagnostic imaging;Multiphoton processes;Photons;Neurons;Respiration;Cells
Issue Date: Jun-2010
Source: IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010, pp. 65-68
Conference: IEEE International Symposium on Biomedical Imaging 
Abstract: We make a major step towards answering the question posed in the title, using as model the mouse foetus in its 17-19 embryonic days. We use (a) 2-photon microscopy to image the brainstem cell activity ([Ca2+]) in the pre-Boetzinger complex, and (b) electrical recordings from the phrenic nerve, which indicate the diaphragm contraction during inspiration. We classify the brainstem regions (individual cells or groups of cells) into 'active' and 'inactive', based on whether they contribute or not to the individual electrical signal peaks. As features, we use the Continuous Wavelet Transform-based Semblance responses, for comparing non-periodic and/or periodic-like signals. We use our novel Generative Mixture Model (GMM) possibilistic clustering to obtain the desired classes robustly. This way, we model the inspiration control as a physiological process, which is a crucial step towards understanding how the living brain controls breathing
URI: https://hdl.handle.net/20.500.14279/2911
ISBN: 978-1-4244-4125-9 (print)
ISSN: 978-1-4244-4126-6 (online)
DOI: 10.1109/ISBI.2010.5490412
Rights: © 2010 IEEE
Type: Book Chapter
Affiliation : University of Miami 
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

CORE Recommender
Show full item record

Page view(s) 50

435
Last Week
0
Last month
0
checked on Nov 8, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.