Literature DB >> 12037178

Model for intersegmental coordination of leech swimming: central and sensory mechanisms.

Jianhua Cang1, W Otto Friesen.   

Abstract

Sensory feedback as well as the coupling signals within the CNS are essential for leeches to produce intersegmental phase relationships in body movements appropriate for swimming behavior. To study the interactions between the central pattern generator (CPG) and peripheral feedback in controlling intersegmental coordination, we have constructed a computational model for the leech swimming system with physiologically realistic parameters. First, the leech swimming CPG is simulated by a chain of phase oscillators coupled by three channels of coordinating signals. The activity phase, the projection direction, and the phase response curve (PRC) of each channel are based on the identified intersegmental interneuron network. Output of this largely constrained model produces stable coordination in the simulated CPG with average phase lags of 8-10 degrees/segment in the period range from 0.5 to 1.5 s, similar to those observed in isolated nerve cords. The model also replicates the experimental finding that shorter chains of leech nerve cords have larger phase lags per segment. Sensory inputs, represented by stretch receptors, were subsequently incorporated into the CPG model. Each stretch receptor with its associated PRC, which was defined to mimic the experimental results of phase-dependent phase shifts of the central oscillator by the ventral stretch receptor, can alter the phase of the local central oscillator. Finally, mechanical interactions between the muscles from neighboring segments were simulated by PRCs linking adjacent stretch receptors. This model shows that interactions between neighboring muscles could globally increase the phase lags to the larger value required for the one-wavelength body form observed in freely swimming leeches. The full model also replicates the experimental observation that leeches with severed nerve cords have larger intersegmental phase lags than intact animals. The similarities between physiological and simulation results demonstrate that we have established a realistic model for the central and peripheral control of intersegmental coordination of leech swimming.

Mesh:

Year:  2002        PMID: 12037178     DOI: 10.1152/jn.2002.87.6.2760

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  22 in total

1.  Oscillations in large-scale cortical networks: map-based model.

Authors:  N F Rulkov; I Timofeev; M Bazhenov
Journal:  J Comput Neurosci       Date:  2004 Sep-Oct       Impact factor: 1.621

2.  Positive feedback loops sustain repeating bursts in neuronal circuits.

Authors:  Wolfgang Otto Friesen; Olivia J Mullins; Ran Xiao; John T Hackett
Journal:  J Biol Phys       Date:  2010-12-16       Impact factor: 1.365

3.  Development of swimming in the medicinal leech, the gradual acquisition of a behavior.

Authors:  K A French; J Chang; S Reynolds; R Gonzalez; W B Kristan; W B Kristan
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2005-09-13       Impact factor: 1.836

4.  Coordination of fore and hind leg stepping in cats on a transversely-split treadmill.

Authors:  T Akay; D A McVea; A Tachibana; K G Pearson
Journal:  Exp Brain Res       Date:  2006-05-30       Impact factor: 1.972

5.  Systems-level modeling of neuronal circuits for leech swimming.

Authors:  M Zheng; W O Friesen; T Iwasaki
Journal:  J Comput Neurosci       Date:  2006-09-19       Impact factor: 1.621

Review 6.  Leech locomotion: swimming, crawling, and decisions.

Authors:  W Otto Friesen; William B Kristan
Journal:  Curr Opin Neurobiol       Date:  2008-03-12       Impact factor: 6.627

7.  Frequency control of motor patterning by negative sensory feedback.

Authors:  Jessica Ausborn; Wolfgang Stein; Harald Wolf
Journal:  J Neurosci       Date:  2007-08-29       Impact factor: 6.167

8.  Multivariable harmonic balance analysis of the neuronal oscillator for leech swimming.

Authors:  Zhiyong Chen; Min Zheng; W Otto Friesen; Tetsuya Iwasaki
Journal:  J Comput Neurosci       Date:  2008-07-29       Impact factor: 1.621

9.  Centrally patterned rhythmic activity integrated by a peripheral circuit linking multiple oscillators.

Authors:  John Jellies; Daniel Kueh
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2012-05-11       Impact factor: 1.836

10.  Biological clockwork underlying adaptive rhythmic movements.

Authors:  Tetsuya Iwasaki; Jun Chen; W Otto Friesen
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-06       Impact factor: 11.205

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