Proprioception From a Spinocerebellar Perspective

Department of Neuroscience, University of Minnesota, Minneapolis, Minnesota Bosco, G. and R. E. Poppele. Proprioception From a Spinocerebellar Perspective. Physiol. Rev. 81: 539-568, 2001. This review explores how proprioceptive sensory information is organized at spinal cord levels as it relates to...

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Bibliographic Details
Published in:Physiological reviews 2001-04, Vol.81 (2), p.539-568
Main Authors: Bosco, G, Poppele, R. E
Format: Article
Language:English
Subjects:
Animals
Arms
Central nervous system
Cerebellum - physiology
Feedback
Humans
Kinetics
Legs
Motor Activity
Nervous system
Neural Pathways - physiology
Neurology
Neurons - physiology
Physiological aspects
Proprioception
Proprioception - physiology
sensorimotor integration
Sensory receptors
Spinal cord
Spinal Cord - physiology
Synapses - physiology
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Summary:Department of Neuroscience, University of Minnesota, Minneapolis, Minnesota Bosco, G. and R. E. Poppele. Proprioception From a Spinocerebellar Perspective. Physiol. Rev. 81: 539-568, 2001. This review explores how proprioceptive sensory information is organized at spinal cord levels as it relates to a sense of body position and movement. The topic is considered in an historical context and develops a different framework that may be more in tune with current views of sensorimotor processing in other central nervous system structures. The dorsal spinocerebellar tract (DSCT) system is considered in detail as a model system that may be considered as an end point for the processing of proprioceptive sensory information in the spinal cord. An analysis of this system examines sensory processing at the lowest levels of synaptic connectivity with central neurons in the nervous system. The analysis leads to a framework for proprioception that involves a highly flexible network organization based in some way on whole limb kinematics. The functional organization underlying this framework originates with the biomechanical linkages in the limb that establish functional relationships among the limb segments. Afferent information from limb receptors is processed further through a distributed neural network in the spinal cord. The result is a global representation of hindlimb parameters rather than a muscle-by-muscle or joint-by-joint representation.
ISSN:0031-9333
1522-1210
DOI:10.1152/physrev.2001.81.2.539