Literature DB >> 20018828

A contribution of area 5 of the posterior parietal cortex to the planning of visually guided locomotion: limb-specific and limb-independent effects.

Jacques-Etienne Andujar1, Kim Lajoie, Trevor Drew.   

Abstract

We tested the hypothesis that area 5 of the posterior parietal cortex (PPC) contributes to the planning of visually guided gait modifications. We recorded 121 neurons from the PPC of two cats during a task in which cats needed to process visual input to step over obstacles attached to a moving treadmill belt. During unobstructed locomotion, 64/121 (53%) of cells showed rhythmic activity. During steps over the obstacles, 102/121 (84%) of cells showed a significant change of their activity. Of these, 46/102 were unmodulated during the control task. We divided the 102 task-related cells into two groups on the basis of their discharge when the limb contralateral to the recording site was the first to pass over the obstacle. One group (41/102) was characterized by a brief, phasic discharge as the lead forelimb passed over the obstacle (Step-related cells). These cells were recorded primarily from area 5a. The other group (61/102) showed a progressive increase in activity prior to the onset of the swing phase in the modified limb and frequently diverged from control at least one step cycle before the gait modification (Step-advanced cells). Most of these cells were recorded in area 5b. In both groups, some cells maintained a fixed relationship to the activity of the contralateral forelimb regardless of which limb was the first to pass over the obstacle (limb-specific cells), whereas others changed their phase of activity so that they were always related to activity of the first limb to pass over the obstacle, either contralateral or ipsilateral (limb-independent cells). Limb-independent cells were more common among the Step-advanced cell population. We suggest that both populations of cells contribute to the gait modification and that the discharge characteristics of the Step-advanced cells are compatible with a contribution to the planning of the gait modification.

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Year:  2009        PMID: 20018828     DOI: 10.1152/jn.00912.2009

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


  18 in total

1.  Signals from the ventrolateral thalamus to the motor cortex during locomotion.

Authors:  Vladimir Marlinski; Wijitha U Nilaweera; Pavel V Zelenin; Mikhail G Sirota; Irina N Beloozerova
Journal:  J Neurophysiol       Date:  2011-10-12       Impact factor: 2.714

2.  Known and unexpected constraints evoke different kinematic, muscle, and motor cortical neuron responses during locomotion.

Authors:  Erik E Stout; Mikhail G Sirota; Irina N Beloozerova
Journal:  Eur J Neurosci       Date:  2015-10-24       Impact factor: 3.386

3.  Locomotor sequence learning in visually guided walking.

Authors:  Julia T Choi; Peter Jensen; Jens Bo Nielsen
Journal:  J Neurophysiol       Date:  2016-02-10       Impact factor: 2.714

4.  Humans exploit the biomechanics of bipedal gait during visually guided walking over complex terrain.

Authors:  Jonathan Samir Matthis; Brett R Fajen
Journal:  Proc Biol Sci       Date:  2013-05-08       Impact factor: 5.349

5.  Hemispheric specialization during mental imagery of brisk walking.

Authors:  Julien Crémers; Aurélie Dessoullières; Gaëtan Garraux
Journal:  Hum Brain Mapp       Date:  2011-03-21       Impact factor: 5.038

6.  The critical phase for visual control of human walking over complex terrain.

Authors:  Jonathan Samir Matthis; Sean L Barton; Brett R Fajen
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-24       Impact factor: 11.205

7.  Premotor Cortex Provides a Substrate for the Temporal Transformation of Information During the Planning of Gait Modifications.

Authors:  Toshi Nakajima; Nicolas Fortier-Lebel; Trevor Drew
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

8.  Motor deficits on a ladder rung task in male and female adolescent and adult CGG knock-in mice.

Authors:  Michael R Hunsaker; Ramona E von Leden; Binh T Ta; Naomi J Goodrich-Hunsaker; Gloria Arque; Kyoungmi Kim; Rob Willemsen; Robert F Berman
Journal:  Behav Brain Res       Date:  2011-03-31       Impact factor: 3.332

9.  A novel optic flow pattern speeds split-belt locomotor adaptation.

Authors:  James M Finley; Matthew A Statton; Amy J Bastian
Journal:  J Neurophysiol       Date:  2013-12-11       Impact factor: 2.714

10.  Substituting anticipatory locomotor adjustments online is time constrained.

Authors:  Bradford J McFadyen; Félix Fiset; Caroline Charette
Journal:  Exp Brain Res       Date:  2018-05-03       Impact factor: 1.972

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