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Developmental changes in inspiratory network complexity and burst timing in rat in vivo

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Developmental changes in intrinsic membrane properties and synaptic transmission are present within the central respiratory neural network. The influence of maturation on the complex dynamics (i.e., complexity) underlying the central respiratory neural network as well as burst timing, however, remain to be examined. Therefore, we calculated the approximate entropy (ApEn; as an index of network complexity) of inspiratory motor discharges recorded from the diaphragm in spontaneously breathing urethane-anesthetized neonatal rats. Our findings demonstrate that changes in central inspiratory neural network complexity and burst timing occur with maturation, such that in the older neonatal rats, the neural controller exhibits higher ApEn (i.e., less system order) and longer inspiratory bursts. We suggest that these changes not only reflect the developmental reconfiguration of the central respiratory network but also provide quantitative insight into the extent of reconfiguration.

Original languageEnglish
Title of host publication33rd Annual Northeast Bioengineering Conference - Engineering Innovations in Life Sciences and Healthcare, NEBC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages313-314
Number of pages2
ISBN (Print)1424410339, 9781424410330
DOIs
StatePublished - 2007
Event33rd Annual Northeast Bioengineering Conference, NEBC - Stony Brook, NY, United States
Duration: Mar 10 2007Mar 11 2007

Publication series

NameProceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
ISSN (Print)1071-121X

Conference

Conference33rd Annual Northeast Bioengineering Conference, NEBC
Country/TerritoryUnited States
CityStony Brook, NY
Period03/10/0703/11/07

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