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|Title:||Which brainstem cells generate the respiration cycles?||Authors:||Irvine, A.W.
Chatzis, Sotirios P.
|Keywords:||Diagnostic imaging;Multiphoton processes;Photons;Neurons;Respiration;Cells||Category:||Electrical Engineering - Electronic Engineering - Information Engineering||Field:||Engineering and Technology||Issue Date:||Jun-2010||Publisher:||IEEE Xplore||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:||http://ktisis.cut.ac.cy/handle/10488/7264||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|
|Appears in Collections:||Κεφάλαια βιβλίων/Book chapters|
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