Literature DB >> 24550483

Gating of steering signals through phasic modulation of reticulospinal neurons during locomotion.

Alexander K Kozlov1, Andreas A Kardamakis, Jeanette Hellgren Kotaleski, Sten Grillner.   

Abstract

The neural control of movements in vertebrates is based on a set of modules, like the central pattern generator networks (CPGs) in the spinal cord coordinating locomotion. Sensory feedback is not required for the CPGs to generate the appropriate motor pattern and neither a detailed control from higher brain centers. Reticulospinal neurons in the brainstem activate the locomotor network, and the same neurons also convey signals from higher brain regions, such as turning/steering commands from the optic tectum (superior colliculus). A tonic increase in the background excitatory drive of the reticulospinal neurons would be sufficient to produce coordinated locomotor activity. However, in both vertebrates and invertebrates, descending systems are in addition phasically modulated because of feedback from the ongoing CPG activity. We use the lamprey as a model for investigating the role of this phasic modulation of the reticulospinal activity, because the brainstem-spinal cord networks are known down to the cellular level in this phylogenetically oldest extant vertebrate. We describe how the phasic modulation of reticulospinal activity from the spinal CPG ensures reliable steering/turning commands without the need for a very precise timing of on- or offset, by using a biophysically detailed large-scale (19,600 model neurons and 646,800 synapses) computational model of the lamprey brainstem-spinal cord network. To verify that the simulated neural network can control body movements, including turning, the spinal activity is fed to a mechanical model of lamprey swimming. The simulations also predict that, in contrast to reticulospinal neurons, tectal steering/turning command neurons should have minimal frequency adaptive properties, which has been confirmed experimentally.

Keywords:  MLR; compartmental modelling; full-scale model; large-scale modeling

Mesh:

Year:  2014        PMID: 24550483      PMCID: PMC3948313          DOI: 10.1073/pnas.1401459111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  33 in total

1.  Simulations of neuromuscular control in lamprey swimming.

Authors:  O Ekeberg; S Grillner
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-05-29       Impact factor: 6.237

2.  Firing properties of frog tectal neurons in vitro.

Authors:  Nijole Gutmaniene; Natasa Svirskiene; Gytis Svirskis
Journal:  Brain Res       Date:  2003-08-15       Impact factor: 3.252

3.  Tectal control of locomotion, steering, and eye movements in lamprey.

Authors:  Kazuya Saitoh; Ariane Ménard; Sten Grillner
Journal:  J Neurophysiol       Date:  2007-02-15       Impact factor: 2.714

4.  Sodium-dependent potassium channels of a Slack-like subtype contribute to the slow afterhyperpolarization in lamprey spinal neurons.

Authors:  Peter Wallén; Brita Robertson; Lorenzo Cangiano; Peter Löw; Arin Bhattacharjee; Leonard K Kaczmarek; Sten Grillner
Journal:  J Physiol       Date:  2007-09-20       Impact factor: 5.182

5.  Selective projection patterns from subtypes of retinal ganglion cells to tectum and pretectum: distribution and relation to behavior.

Authors:  Marcus Robert Jones; Sten Grillner; Brita Robertson
Journal:  J Comp Neurol       Date:  2009-11-20       Impact factor: 3.215

6.  Simple cellular and network control principles govern complex patterns of motor behavior.

Authors:  Alexander Kozlov; Mikael Huss; Anders Lansner; Jeanette Hellgren Kotaleski; Sten Grillner
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-09       Impact factor: 11.205

7.  Fictive locomotion in the lamprey spinal cord in vitro compared with swimming in the intact and spinal animal.

Authors:  P Wallén; T L Williams
Journal:  J Physiol       Date:  1984-02       Impact factor: 5.182

8.  Computer simulations of NMDA and non-NMDA receptor-mediated synaptic drive: sensory and supraspinal modulation of neurons and small networks.

Authors:  H G Tråvén; L Brodin; A Lansner; O Ekeberg; P Wallén; S Grillner
Journal:  J Neurophysiol       Date:  1993-08       Impact factor: 2.714

9.  Multisensory integration in mesencephalic trigeminal neurons in Xenopus tadpoles.

Authors:  Kara G Pratt; Carlos D Aizenman
Journal:  J Neurophysiol       Date:  2009-04-22       Impact factor: 2.714

10.  Sensory feedback plays a significant role in generating walking gait and in gait transition in salamanders: a simulation study.

Authors:  Nalin Harischandra; Jeremie Knuesel; Alexander Kozlov; Andrej Bicanski; Jean-Marie Cabelguen; Auke Ijspeert; Orjan Ekeberg
Journal:  Front Neurorobot       Date:  2011-11-04       Impact factor: 2.650

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  20 in total

1.  Adrenoceptor-Mediated Post- and Pre-Synaptic Regulations of the Reticulospinal Neurons in Rat Caudal Pontine Reticular Nucleus.

Authors:  Nian Yang; Qi-Cheng Qiao; Yu-Hui Liu; Ji-Qiang Zhang; Zhi-An Hu; Jun Zhang
Journal:  Mol Neurobiol       Date:  2015-12-17       Impact factor: 5.590

2.  The role of the optic tectum for visually evoked orienting and evasive movements.

Authors:  Daichi G Suzuki; Juan Pérez-Fernández; Tobias Wibble; Andreas A Kardamakis; Sten Grillner
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-11       Impact factor: 11.205

3.  Circuit feedback increases activity level of a circuit input through interactions with intrinsic properties.

Authors:  Dawn M Blitz
Journal:  J Neurophysiol       Date:  2017-05-03       Impact factor: 2.714

4.  Network feedback regulates motor output across a range of modulatory neuron activity.

Authors:  Robert M Spencer; Dawn M Blitz
Journal:  J Neurophysiol       Date:  2016-03-30       Impact factor: 2.714

5.  Supraspinal control of spinal reflex responses to body bending during different behaviours in lampreys.

Authors:  Li-Ju Hsu; Pavel V Zelenin; Grigori N Orlovsky; Tatiana G Deliagina
Journal:  J Physiol       Date:  2016-10-13       Impact factor: 5.182

6.  From decision to action: Detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to sensory signals.

Authors:  Andrea Ferrario; Andrey Palyanov; Stella Koutsikou; Wenchang Li; Steve Soffe; Alan Roberts; Roman Borisyuk
Journal:  PLoS Comput Biol       Date:  2021-12-13       Impact factor: 4.475

7.  Brainstem Steering of Locomotor Activity in the Newborn Rat.

Authors:  Zied Oueghlani; Cyril Simonnet; Laura Cardoit; Gilles Courtand; Jean-René Cazalets; Didier Morin; Laurent Juvin; Grégory Barrière
Journal:  J Neurosci       Date:  2018-07-23       Impact factor: 6.167

8.  A Computational Model of a Descending Mechanosensory Pathway Involved in Active Tactile Sensing.

Authors:  Jan M Ache; Volker Dürr
Journal:  PLoS Comput Biol       Date:  2015-07-09       Impact factor: 4.475

Review 9.  Major remaining gaps in models of sensorimotor systems.

Authors:  Gerald E Loeb; George A Tsianos
Journal:  Front Comput Neurosci       Date:  2015-06-04       Impact factor: 2.380

10.  Pharmacological Suppression of CNS Scarring by Deferoxamine Reduces Lesion Volume and Increases Regeneration in an In Vitro Model for Astroglial-Fibrotic Scarring and in Rat Spinal Cord Injury In Vivo.

Authors:  Christina Francisca Vogelaar; Brigitte König; Stefanie Krafft; Veronica Estrada; Nicole Brazda; Brigida Ziegler; Andreas Faissner; Hans Werner Müller
Journal:  PLoS One       Date:  2015-07-29       Impact factor: 3.240

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