2012
DOI: 10.1152/jn.00808.2011
|View full text |Cite
|
Sign up to set email alerts
|

Central chemoreceptor modulation of breathing via multipath tuning in medullary ventrolateral respiratory column circuits

Abstract: Ventrolateral respiratory column (VRC) circuits that modulate breathing in response to changes in central chemoreceptor drive are incompletely understood. We employed multielectrode arrays and spike train correlation methods to test predictions of the hypothesis that pre-Bötzinger complex (pre-BötC) and retrotrapezoid nucleus/parafacial (RTN-pF) circuits cooperate in chemoreceptor-evoked tuning of ventral respiratory group (VRG) inspiratory neurons. Central chemoreceptors were selectively stimulated by injecti… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

7
32
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
4
2

Relationship

2
4

Authors

Journals

citations
Cited by 16 publications
(39 citation statements)
references
References 80 publications
7
32
0
Order By: Relevance
“…Short-timescale peak or trough features with half-widths ranging from 0.5 ms to 100 ms (consistent with synaptic mechanisms in the VRC; Ott et al 2012) were identified using cycle-shifted surrogates (Ott et al 2012) or with a Monte Carlo test using surrogate spike trains (Pauluis and Baker 2000) with gamma-distributed interspike intervals. The shape parameter of the gamma distribution was estimated from the data (Miura et al 2006).…”
Section: Methodsmentioning
confidence: 89%
See 4 more Smart Citations
“…Short-timescale peak or trough features with half-widths ranging from 0.5 ms to 100 ms (consistent with synaptic mechanisms in the VRC; Ott et al 2012) were identified using cycle-shifted surrogates (Ott et al 2012) or with a Monte Carlo test using surrogate spike trains (Pauluis and Baker 2000) with gamma-distributed interspike intervals. The shape parameter of the gamma distribution was estimated from the data (Miura et al 2006).…”
Section: Methodsmentioning
confidence: 89%
“…Changes in firing rates of single neurons during effective stimuli were identified over the entire respiratory cycle as well as during just the I and E phases by a bootstrap-based statistical method with the false discovery rate controlled to be Ͻ5% (Benjamini and Hochberg 1995) and classified into one of several response categories: increase (1), decrease (2), biphasic [increase-decrease (12) or decrease-increase (21)], or no change (¡) (Nuding et al 2009b). Neurons were also assessed for significant changes in the depth of respiratory modulation [i.e., "rate ratio" (↕): the ratio of the maximum to the minimum mean firing rate; see Ott et al 2012]. The numbers used to calculate the rate ratio were obtained by dividing each respiratory cycle within a response evaluation period and its corresponding prestimulus control period into 20 slices and measuring the mean firing rate in a 7-slicewide window for each of the 20 possible starting locations of the window, yielding 20 numbers for each cycle.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations