Biology Life Sciences & Biomedicine Life Sciences & Biomedicine - Other Topics Science & Technology
A series of recent studies identified key structures in the mesencephalic locomotor region and the caudal brainstem of mice involved in the initiation and control of slow (exploratory) and fast (escape-type) locomotion and gait. However, the interactions of these brainstem centers with each other and with the spinal locomotor circuits are poorly understood. Previously we suggested that commissural and long propriospinal interneurons are the main targets for brainstem inputs adjusting gait (Danner et al., 2017). Here, by extending our previous model, we propose a connectome of the brainstem-spinal circuitry and suggest a mechanistic explanation of the operation of brainstem structures and their roles in controlling speed and gait. We suggest that brainstem control of locomotion is mediated by two pathways, one controlling locomotor speed via connections to rhythm generating circuits in the spinal cord and the other providing gait control by targeting commissural and long propriospinal interneurons.
Computational modeling of brainstem circuits controlling locomotor frequency and gait
Creators
Jessica Ausborn - Drexel University
Natalia A. Shevtsova - Drexel University
Vittorio Caggiano - IBM
Simon M. Danner - Drexel University
Ilya A. Rybak - Drexel University
Publication Details
eLife, v 8
Publisher
Elife Sciences Publications Ltd
Number of pages
19
Grant note
R01NS095366; R01NS090919 / National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
College of Medicine, Drexel University Edward Jekkal Muscular Dystrophy Association Fellowship
R01NS095366 / NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS)
Resource Type
Journal article
Language
English
Academic Unit
Neurobiology and Anatomy
Web of Science ID
WOS:000457387900001
Scopus ID
2-s2.0-85060904145
Other Identifier
991019169465804721
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