Literature DB >> 35476640

The role of V3 neurons in speed-dependent interlimb coordination during locomotion in mice.

Han Zhang1, Natalia A Shevtsova2, Simon M Danner2, Ying Zhang1, Ilya A Rybak2, Dylan Deska-Gauthier1, Colin Mackay1, Kimberly J Dougherty2.   

Abstract

Speed-dependent interlimb coordination allows animals to maintain stable locomotion under different circumstances. The V3 neurons are known to be involved in interlimb coordination. We previously modeled the locomotor spinal circuitry controlling interlimb coordination (Danner et al., 2017). This model included the local V3 neurons that mediate mutual excitation between left and right rhythm generators (RGs). Here, our focus was on V3 neurons involved in ascending long propriospinal interactions (aLPNs). Using retrograde tracing, we revealed a subpopulation of lumbar V3 aLPNs with contralateral cervical projections. V3OFF mice, in which all V3 neurons were silenced, had a significantly reduced maximal locomotor speed, were unable to move using stable trot, gallop, or bound, and predominantly used a lateral-sequence walk. To reproduce this data and understand the functional roles of V3 aLPNs, we extended our previous model by incorporating diagonal V3 aLPNs mediating inputs from each lumbar RG to the contralateral cervical RG. The extended model reproduces our experimental results and suggests that locally projecting V3 neurons, mediating left-right interactions within lumbar and cervical cords, promote left-right synchronization necessary for gallop and bound, whereas the V3 aLPNs promote synchronization between diagonal fore and hind RGs necessary for trot. The model proposes the organization of spinal circuits available for future experimental testing.
© 2022, Zhang et al.

Entities:  

Keywords:  cetral pattern generator; commissural interneurons; computational modeling; locomotion; long propriospinal neurons; mouse; neuroscience; spinal cord

Mesh:

Year:  2022        PMID: 35476640      PMCID: PMC9045817          DOI: 10.7554/eLife.73424

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.713


  70 in total

Review 1.  Locomotor circuits in the mammalian spinal cord.

Authors:  Ole Kiehn
Journal:  Annu Rev Neurosci       Date:  2006       Impact factor: 12.449

Review 2.  Organization of mammalian locomotor rhythm and pattern generation.

Authors:  David A McCrea; Ilya A Rybak
Journal:  Brain Res Rev       Date:  2007-09-05

3.  Activation of groups of excitatory neurons in the mammalian spinal cord or hindbrain evokes locomotion.

Authors:  Martin Hägglund; Lotta Borgius; Kimberly J Dougherty; Ole Kiehn
Journal:  Nat Neurosci       Date:  2010-01-17       Impact factor: 24.884

4.  Neuromechanics: an integrative approach for understanding motor control.

Authors:  Kiisa Nishikawa; Andrew A Biewener; Peter Aerts; Anna N Ahn; Hillel J Chiel; Monica A Daley; Thomas L Daniel; Robert J Full; Melina E Hale; Tyson L Hedrick; A Kristopher Lappin; T Richard Nichols; Roger D Quinn; Richard A Satterlie; Brett Szymik
Journal:  Integr Comp Biol       Date:  2007-05-27       Impact factor: 3.326

5.  A synergetic theory of quadrupedal gaits and gait transitions.

Authors:  G Schöner; W Y Jiang; J A Kelso
Journal:  J Theor Biol       Date:  1990-02-09       Impact factor: 2.691

6.  Organization of flexor-extensor interactions in the mammalian spinal cord: insights from computational modelling.

Authors:  Natalia A Shevtsova; Ilya A Rybak
Journal:  J Physiol       Date:  2016-07-21       Impact factor: 5.182

7.  Computational modeling of spinal circuits controlling limb coordination and gaits in quadrupeds.

Authors:  Simon M Danner; Natalia A Shevtsova; Alain Frigon; Ilya A Rybak
Journal:  Elife       Date:  2017-11-22       Impact factor: 8.140

8.  Spinal Hb9::Cre-derived excitatory interneurons contribute to rhythm generation in the mouse.

Authors:  Vanessa Caldeira; Kimberly J Dougherty; Lotta Borgius; Ole Kiehn
Journal:  Sci Rep       Date:  2017-01-27       Impact factor: 4.379

9.  Midbrain circuits that set locomotor speed and gait selection.

Authors:  V Caggiano; R Leiras; H Goñi-Erro; D Masini; C Bellardita; J Bouvier; V Caldeira; G Fisone; O Kiehn
Journal:  Nature       Date:  2018-01-17       Impact factor: 49.962

10.  On the Organization of the Locomotor CPG: Insights From Split-Belt Locomotion and Mathematical Modeling.

Authors:  Elizaveta M Latash; Charly G Lecomte; Simon M Danner; Alain Frigon; Ilya A Rybak; Yaroslav I Molkov
Journal:  Front Neurosci       Date:  2020-10-16       Impact factor: 4.677

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.