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The Journal of Neurophysiology Vol. 87 No. 5 May 2002, pp. 2372-2384
Copyright ©2002 by the American Physiological Society
Neuroscience Program, Department of Biological Sciences, Ohio University, Athens, Ohio 45701
Thuma, Jeff B. and
Scott L. Hooper.
Quantification of Gastric Mill Network Effects on a Movement
Related Parameter of Pyloric Network Output in the Lobster. J. Neurophysiol. 87: 2372-2384, 2002. It
has long been known that gastric mill network activity (cycle period
5-10 s) alters pyloric network output (cycle period approximately
1 s), but these effects have not been quantified. Many pyloric
muscles extract gastric mill timed variations in pyloric motor neuron
firing, and consequently produce gastric mill timed movements even
though no gastric mill neurons innervate them. Determining pyloric
behavior therefore requires detailed description of gastric mill
effects on pyloric neural output. Pyloric muscle activity correlates
well with motor neuron overall spike frequency (OSF, burst spike number
divided by cycle period). We quantified OSF variation of all pyloric
neurons as a function of time into the gastric mill cycle [as measured
from the beginning of Gastric Mill (GM) neuron bursts] in the lobster,
Panulirus interruptus. No repeating pattern within
individual gastric mill cycles of Lateral Pyloric (LP) and Ventricular
Dilator (VD) neuron OSF was visually apparent. Averaged data showed
that VD and LP neuron OSF decreased (approximately 0.5 and 1.5 Hz,
respectively) at the beginning of each gastric mill cycle. Visually
apparent patterns of OSF waxing and waning within each gastric mill
cycle were present for the Inferior Cardiac (IC), Pyloric Dilator (PD), and Pyloric (PY) neurons. However, when averaged as a function of phase
or delay in the gastric mill cycle, the average changes were smaller
than those in individual gastric mill cycles because when the OSF
variations occurred varied considerably in different gastric mill
cycles. We therefore used a "pattern-based" analysis in which an
identifying characteristic of each neuron's repeating OSF variation
pattern was defined as pattern pyloric cycle zero. The pyloric cycles
in each repetition of the OSF variation pattern were numbered relative
to the zero cycle, and averaged to create an average OSF variation
profile. The zero cycle delays relative to GM neuron burst beginning
were then averaged to determine when in the gastric mill cycle the
profile occurred. This technique preserved the full extent of pyloric
neuron OSF changes. Maximum PY neuron OSF occurred within the GM neuron
burst, whereas maximum IC and PD neuron OSF occurred during the GM
neuron interburst interval. Despite these changes, pyloric cycling did
not phase lock with gastric mill activity, nor were an integer number
of pyloric cycles present in each gastric mill cycle. In addition to
providing data necessary to predict pyloric movement, this work shows
how pattern-based analysis can successfully quantify interactions
between nonphase-locked networks.
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