Literature DB >> 26967280

Movement: How the Brain Communicates with the World.

Andrew B Schwartz1.   

Abstract

Voluntary movement is a result of signals transmitted through a communication channel that links the internal world in our minds to the physical world around us. Intention can be considered the desire to effect change on our environment, and this is contained in the signals from the brain, passed through the nervous system to converge on muscles that generate displacements and forces on our surroundings. The resulting changes in the world act to generate sensations that feed back to the nervous system, closing the control loop. This Perspective discusses the experimental and theoretical underpinnings of current models of movement generation and the way they are modulated by external information. Movement systems embody intentionality and prediction, two factors that are propelling a revolution in engineering. Development of movement models that include the complexities of the external world may allow a better understanding of the neuronal populations regulating these processes, as well as the development of solutions for autonomous vehicles and robots, and neural prostheses for those who are motor impaired.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2016        PMID: 26967280      PMCID: PMC4818644          DOI: 10.1016/j.cell.2016.02.038

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  124 in total

1.  Optimal feedback control as a theory of motor coordination.

Authors:  Emanuel Todorov; Michael I Jordan
Journal:  Nat Neurosci       Date:  2002-11       Impact factor: 24.884

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Authors:  C A TERZUOLO; Y WASHIZU
Journal:  J Neurophysiol       Date:  1962-01       Impact factor: 2.714

3.  Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortex.

Authors:  Steven M Chase; Robert E Kass; Andrew B Schwartz
Journal:  J Neurophysiol       Date:  2012-04-11       Impact factor: 2.714

4.  Cerebellum predicts the future motor state.

Authors:  Timothy J Ebner; Siavash Pasalar
Journal:  Cerebellum       Date:  2008       Impact factor: 3.847

Review 5.  Fast and slow feedback loops for the visual correction of spatial errors in a pointing task: a reappraisal.

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Journal:  Can J Physiol Pharmacol       Date:  1996-04       Impact factor: 2.273

6.  Internal models in the cerebellum.

Authors:  D M Wolpert; R C Miall; M Kawato
Journal:  Trends Cogn Sci       Date:  1998-09-01       Impact factor: 20.229

7.  Memory representations underlying motor commands used during manipulation of common and novel objects.

Authors:  A M Gordon; G Westling; K J Cole; R S Johansson
Journal:  J Neurophysiol       Date:  1993-06       Impact factor: 2.714

8.  Corollary discharge provides accurate eye position information to the oculomotor system.

Authors:  B L Guthrie; J D Porter; D L Sparks
Journal:  Science       Date:  1983-09-16       Impact factor: 47.728

9.  The coordination of arm movements: an experimentally confirmed mathematical model.

Authors:  T Flash; N Hogan
Journal:  J Neurosci       Date:  1985-07       Impact factor: 6.167

10.  Impulse activity in the crayfish stretch receptor neuron.

Authors:  Y Washizu; C A Terzuolo
Journal:  Arch Ital Biol       Date:  1966-06       Impact factor: 1.000

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  21 in total

Review 1.  Neurophysiology and neural engineering: a review.

Authors:  Arthur Prochazka
Journal:  J Neurophysiol       Date:  2017-05-31       Impact factor: 2.714

Review 2.  Motor Intention/Intentionality and Associationism - A conceptual review.

Authors:  Denis Ebbesen; Jeppe Olsen
Journal:  Integr Psychol Behav Sci       Date:  2018-12

3.  Distributed processing of movement signaling.

Authors:  Scott D Kennedy; Andrew B Schwartz
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-23       Impact factor: 11.205

Review 4.  The Cortical Physiology of Ipsilateral Limb Movements.

Authors:  David T Bundy; Eric C Leuthardt
Journal:  Trends Neurosci       Date:  2019-09-10       Impact factor: 13.837

5.  Sense of agency for intracortical brain-machine interfaces.

Authors:  Andrea Serino; Marcia Bockbrader; Tommaso Bertoni; Sam Colachis Iv; Marco Solcà; Collin Dunlap; Kaitie Eipel; Patrick Ganzer; Nick Annetta; Gaurav Sharma; Pavo Orepic; David Friedenberg; Per Sederberg; Nathan Faivre; Ali Rezai; Olaf Blanke
Journal:  Nat Hum Behav       Date:  2022-01-19

6.  How to Measure the Psychological "Flow"? A Neuroscience Perspective.

Authors:  Guy Cheron
Journal:  Front Psychol       Date:  2016-12-06

7.  Closed-Loop Hybrid Gaze Brain-Machine Interface Based Robotic Arm Control with Augmented Reality Feedback.

Authors:  Hong Zeng; Yanxin Wang; Changcheng Wu; Aiguo Song; Jia Liu; Peng Ji; Baoguo Xu; Lifeng Zhu; Huijun Li; Pengcheng Wen
Journal:  Front Neurorobot       Date:  2017-10-31       Impact factor: 2.650

8.  Reliable and valid robot-assisted assessments of hand proprioceptive, motor and sensorimotor impairments after stroke.

Authors:  Monika Zbytniewska; Christoph M Kanzler; Lisa Jordan; Christian Salzmann; Joachim Liepert; Olivier Lambercy; Roger Gassert
Journal:  J Neuroeng Rehabil       Date:  2021-07-16       Impact factor: 4.262

9.  Hierarchical Integration of Communicative and Spatial Perspective-Taking Demands in Sensorimotor Control of Referential Pointing.

Authors:  Rui 睿 Liu 刘; Sara Bögels; Geoffrey Bird; W Pieter Medendorp; Ivan Toni
Journal:  Cogn Sci       Date:  2022-01

10.  Beta-band power modulation in the human hippocampus during a reaching task.

Authors:  Roberto Martin Del Campo-Vera; Angad S Gogia; Kuang-Hsuan Chen; Rinu Sebastian; Daniel R Kramer; Morgan B Lee; Terrance Peng; Ali Tafreshi; Michael F Barbaro; Charles Y Liu; Spencer Kellis; Brian Lee
Journal:  J Neural Eng       Date:  2020-06-12       Impact factor: 5.043

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