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Progress in Motor Control

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Cover of 'Progress in Motor Control'

Table of Contents

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    Book Overview
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    Chapter 1 Modularity for Motor Control and Motor Learning
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    Chapter 2 Synergies in Grasping
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    Chapter 3 Encoding Temporal Features of Skilled Movements—What, Whether and How?
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    Chapter 4 Predictability and Robustness in the Manipulation of Dynamically Complex Objects
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    Chapter 5 Fifty Years of Physics of Living Systems
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    Chapter 6 The Relationship Between Postural and Movement Stability
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    Chapter 7 Principles of Motor Recovery After Neurological Injury Based on a Motor Control Theory
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    Chapter 8 What Do TMS-Evoked Motor Potentials Tell Us About Motor Learning?
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    Chapter 9 Motor Control of Human Spinal Cord Disconnected from the Brain and Under External Movement
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    Chapter 10 Anticipation in Object Manipulation: Behavioral and Neural Correlates
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    Chapter 11 Brain Plasticity and the Concept of Metaplasticity in Skilled Musicians
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    Chapter 12 The Coordination Dynamics of Observational Learning: Relative Motion Direction and Relative Phase as Informational Content Linking Action-Perception to Action-Production
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    Chapter 13 Rethinking the Study of Volition for Clinical Use
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    Chapter 14 Motor Lateralization Provides a Foundation for Predicting and Treating Non-paretic Arm Motor Deficits in Stroke
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    Chapter 15 Control of Cycling Limb Movements: Aspects for Rehabilitation
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    Chapter 16 Impaired Voluntary Movement Control and Its Rehabilitation in Cerebral Palsy
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    Chapter 17 Can Motor Recovery in Stroke Be Improved by Non-invasive Brain Stimulation?
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    Chapter 18 Organizing and Reorganizing Coordination Patterns
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    Chapter 19 A Computational Index to Describe Slacking During Robot Therapy
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    Chapter 20 Toward a Proprioceptive Neural Interface that Mimics Natural Cortical Activity
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    Chapter 21 Erratum to: Progress in Motor Control
Attention for Chapter 20: Toward a Proprioceptive Neural Interface that Mimics Natural Cortical Activity
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Chapter title
Toward a Proprioceptive Neural Interface that Mimics Natural Cortical Activity
Chapter number 20
Book title
Progress in Motor Control
Published in
Advances in experimental medicine and biology, December 2016
DOI 10.1007/978-3-319-47313-0_20
Pubmed ID
Book ISBNs
978-3-31-947312-3, 978-3-31-947313-0
Authors

Tucker Tomlinson, Lee E. Miller

Editors

Jozsef Laczko, Mark L. Latash

Abstract

The dramatic advances in efferent neural interfaces over the past decade are remarkable, with cortical signals used to allow paralyzed patients to control the movement of a prosthetic limb or even their own hand. However, this success has thrown into relief, the relative lack of progress in our ability to restore somatosensation to these same patients. Somatosensation, including proprioception, the sense of limb position and movement, plays a crucial role in even basic motor tasks like reaching and walking. Its loss results in crippling deficits. Historical work dating back decades and even centuries has demonstrated that modality-specific sensations can be elicited by activating the central nervous system electrically. Recent work has focused on the challenge of refining these sensations by stimulating the somatosensory cortex (S1) directly. Animals are able to detect particular patterns of stimulation and even associate those patterns with particular sensory cues. Most of this work has involved areas of the somatosensory cortex that mediate the sense of touch. Very little corresponding work has been done for proprioception. Here we describe the effort to develop afferent neural interfaces through spatiotemporally precise intracortical microstimulation (ICMS). We review what is known of the cortical representation of proprioception, and describe recent work in our lab that demonstrates for the first time, that sensations like those of natural proprioception may be evoked by ICMS in S1. These preliminary findings are an important first step to the development of an afferent cortical interface to restore proprioception.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 26%
Researcher 14 18%
Student > Bachelor 8 10%
Student > Master 6 8%
Student > Doctoral Student 3 4%
Other 7 9%
Unknown 21 26%
Readers by discipline Count As %
Engineering 21 26%
Neuroscience 12 15%
Medicine and Dentistry 5 6%
Agricultural and Biological Sciences 5 6%
Psychology 4 5%
Other 10 13%
Unknown 23 29%