Literature DB >> 12171137

Motor cortex and the distributed anatomy of finger movements.

Marc H Schieber1.   

Abstract

Voluntary movements are thought to be controlled via a well-ordered, spatially discrete, somatotopic map in the primary motor cortex (M1). We examined this hypothesis in monkeys trained to perform visually-cued, individuated flexion and extension movements of each digit and of the wrist. Single neurone recordings in M1 during such finger movements revealed two unexpected features. First, single M1 neurones often discharge during instructed movements of multiple digits. Second, neurones active during any particular instructed movement are distributed widely throughout the same M1 territory as neurones active during any other movement. Reversible, partial inactivation of the M1 hand representation produced by injection of 5-10 microg muscimol at one site impaired the monkeys' ability to perform finger movements, but no relationship was evident between the particular finger movements that were affected and the mediolateral location of the injection site along the central sulcus. Thus each finger movement is represented by activity distributed widely in the M1 upper extremity representation. If not controlled from spatially segregated M1 regions, movements of different fingers might be controlled by groups of spatially scattered but physiologically similar neurones. Cluster analysis of M1 neurones demonstrated a large group that discharged during most finger movements, and a small group that paused during most movements. Distinct functional groups of M1 neurones that might control particular finger movements were identified inconsistently. We therefore hypothesize that M1 neurones are a very diverse network controlling finger movements.

Entities:  

Mesh:

Year:  2002        PMID: 12171137     DOI: 10.1007/978-1-4615-0713-0_46

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  22 in total

Review 1.  Constraints for control of the human hand.

Authors:  Hiske van Duinen; Simon C Gandevia
Journal:  J Physiol       Date:  2011-10-10       Impact factor: 5.182

2.  Asynchronous decoding of dexterous finger movements using M1 neurons.

Authors:  Vikram Aggarwal; Soumyadipta Acharya; Francesco Tenore; Hyun-Chool Shin; Ralph Etienne-Cummings; Marc H Schieber; Nitish V Thakor
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2008-02       Impact factor: 3.802

3.  Emerging and disappearing synergies in a hierarchically controlled system.

Authors:  Stacey L Gorniak; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2007-08-17       Impact factor: 1.972

4.  Signaling of grasp dimension and grasp force in dorsal premotor cortex and primary motor cortex neurons during reach to grasp in the monkey.

Authors:  Claudia M Hendrix; Carolyn R Mason; Timothy J Ebner
Journal:  J Neurophysiol       Date:  2009-04-29       Impact factor: 2.714

5.  Hand use predicts the structure of representations in sensorimotor cortex.

Authors:  Naveed Ejaz; Masashi Hamada; Jörn Diedrichsen
Journal:  Nat Neurosci       Date:  2015-06-01       Impact factor: 24.884

6.  Nonphysiological factors in navigated TMS studies; confounding covariates and valid intracortical estimates.

Authors:  Sein Schmidt; Rouven Bathe-Peters; Robert Fleischmann; Maria Rönnefarth; Michael Scholz; Stephan A Brandt
Journal:  Hum Brain Mapp       Date:  2014-08-29       Impact factor: 5.038

7.  Neuron selection based on deflection coefficient maximization for the neural decoding of dexterous finger movements.

Authors:  Yong-Hee Kim; Nitish V Thakor; Marc H Schieber; Hyoung-Nam Kim
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-10-22       Impact factor: 3.802

8.  Neuron Selection by Relative Importance for Neural Decoding of Dexterous Finger Prosthesis Control Application.

Authors:  Hyoung-Nam Kim; Yong-Hee Kim; Hyun-Chool Shin; Vikram Aggarwal; Marc H Schieber; Nitish V Thakor
Journal:  Biomed Signal Process Control       Date:  2012-04-03       Impact factor: 3.880

9.  Continuous decoding of human grasp kinematics using epidural and subdural signals.

Authors:  Robert D Flint; Joshua M Rosenow; Matthew C Tate; Marc W Slutzky
Journal:  J Neural Eng       Date:  2016-11-30       Impact factor: 5.379

10.  Regaining motor control in musician's dystonia by restoring sensorimotor organization.

Authors:  Karin Rosenkranz; Katherine Butler; Aaron Williamon; John C Rothwell
Journal:  J Neurosci       Date:  2009-11-18       Impact factor: 6.167

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