Literature DB >> 27733614

Spatiotemporal Distribution of Location and Object Effects in Primary Motor Cortex Neurons during Reach-to-Grasp.

Adam G Rouse1, Marc H Schieber2.   

Abstract

Reaching and grasping typically are considered to be spatially separate processes that proceed concurrently in the arm and the hand, respectively. The proximal representation in the primary motor cortex (M1) controls the arm for reaching, while the distal representation controls the hand for grasping. Many studies of M1 activity therefore have focused either on reaching to various locations without grasping different objects, or else on grasping different objects all at the same location. Here, we recorded M1 neurons in the anterior bank and lip of the central sulcus as monkeys performed more naturalistic movements, reaching toward, grasping, and manipulating four different objects in up to eight different locations. We quantified the extent to which variation in firing rates depended on location, on object, and on their interaction-all as a function of time. Activity proceeded largely in two sequential phases: the first related predominantly to the location to which the upper extremity reached, and the second related to the object about to be grasped. Both phases involved activity distributed widely throughout the sampled territory, spanning both the proximal and the distal upper extremity representation in caudal M1. Our findings indicate that naturalistic reaching and grasping, rather than being spatially segregated processes that proceed concurrently, each are spatially distributed processes controlled by caudal M1 in large part sequentially. Rather than neuromuscular processes separated in space but not time, reaching and grasping are separated more in time than in space. SIGNIFICANCE STATEMENT: Reaching and grasping typically are viewed as processes that proceed concurrently in the arm and hand, respectively. The arm region in the primary motor cortex (M1) is assumed to control reaching, while the hand region controls grasping. During naturalistic reach-grasp-manipulate movements, we found, however, that neuron activity proceeds largely in two sequential phases, each spanning both arm and hand representations in M1. The first phase is related predominantly to the reach location, and the second is related to the object about to be grasped. Our findings indicate that reaching and grasping are successive aspects of a single movement. Initially the arm and the hand both are projected toward the object's location, and later both are shaped to grasp and manipulate.
Copyright © 2016 the authors 0270-6474/16/3610640-14$15.00/0.

Keywords:  arm; grasping; hand; manipulation; reaching

Mesh:

Year:  2016        PMID: 27733614      PMCID: PMC5059431          DOI: 10.1523/JNEUROSCI.1716-16.2016

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  44 in total

1.  Consistent features in the forelimb representation of primary motor cortex in rhesus macaques.

Authors:  M C Park; A Belhaj-Saïf; M Gordon; P D Cheney
Journal:  J Neurosci       Date:  2001-04-15       Impact factor: 6.167

2.  Prediction of muscle activity by populations of sequentially recorded primary motor cortex neurons.

Authors:  M M Morrow; L E Miller
Journal:  J Neurophysiol       Date:  2002-12-18       Impact factor: 2.714

3.  Spatiotemporal distribution of location and object effects in reach-to-grasp kinematics.

Authors:  Adam G Rouse; Marc H Schieber
Journal:  J Neurophysiol       Date:  2015-10-07       Impact factor: 2.714

4.  Do corticomotoneuronal cells predict target muscle EMG activity?

Authors:  D M Griffin; H M Hudson; A Belhaj-Saïf; B J McKiernan; P D Cheney
Journal:  J Neurophysiol       Date:  2007-12-26       Impact factor: 2.714

5.  Subdivisions of primary motor cortex based on cortico-motoneuronal cells.

Authors:  Jean-Alban Rathelot; Peter L Strick
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-12       Impact factor: 11.205

6.  Spatio-Temporal Patterning in Primary Motor Cortex at Movement Onset.

Authors:  Matthew D Best; Aaron J Suminski; Kazutaka Takahashi; Kevin A Brown; Nicholas G Hatsopoulos
Journal:  Cereb Cortex       Date:  2017-02-01       Impact factor: 5.357

7.  Quality metrics to accompany spike sorting of extracellular signals.

Authors:  Daniel N Hill; Samar B Mehta; David Kleinfeld
Journal:  J Neurosci       Date:  2011-06-15       Impact factor: 6.167

8.  Neuronal population coding of movement direction.

Authors:  A P Georgopoulos; A B Schwartz; R E Kettner
Journal:  Science       Date:  1986-09-26       Impact factor: 47.728

9.  Mapping the spatio-temporal structure of motor cortical LFP and spiking activities during reach-to-grasp movements.

Authors:  Alexa Riehle; Sarah Wirtssohn; Sonja Grün; Thomas Brochier
Journal:  Front Neural Circuits       Date:  2013-03-27       Impact factor: 3.492

10.  A common structure underlies low-frequency cortical dynamics in movement, sleep, and sedation.

Authors:  Thomas M Hall; Felipe de Carvalho; Andrew Jackson
Journal:  Neuron       Date:  2014-08-14       Impact factor: 17.173

View more
  15 in total

1.  Temporally Segmented Directionality in the Motor Cortex.

Authors:  S B Suway; J Orellana; A J C McMorland; G W Fraser; Z Liu; M Velliste; S M Chase; R E Kass; A B Schwartz
Journal:  Cereb Cortex       Date:  2018-07-01       Impact factor: 5.357

2.  Utilizing High-Density Electroencephalography and Motion Capture Technology to Characterize Sensorimotor Integration While Performing Complex Actions.

Authors:  Kevin A Mazurek; David Richardson; Nicholas Abraham; John J Foxe; Edward G Freedman
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-09-27       Impact factor: 3.802

3.  Mirror Neuron Populations Represent Sequences of Behavioral Epochs During Both Execution and Observation.

Authors:  Kevin A Mazurek; Adam G Rouse; Marc H Schieber
Journal:  J Neurosci       Date:  2018-04-13       Impact factor: 6.167

Review 4.  The science and engineering behind sensitized brain-controlled bionic hands.

Authors:  Chethan Pandarinath; Sliman J Bensmaia
Journal:  Physiol Rev       Date:  2021-09-20       Impact factor: 37.312

5.  Modeling task-specific neuronal ensembles improves decoding of grasp.

Authors:  Ryan J Smith; Alcimar B Soares; Adam G Rouse; Marc H Schieber; Nitish V Thakor
Journal:  J Neural Eng       Date:  2018-02-02       Impact factor: 5.379

6.  Postural Representations of the Hand in the Primate Sensorimotor Cortex.

Authors:  James M Goodman; Gregg A Tabot; Alex S Lee; Aneesha K Suresh; Alexander T Rajan; Nicholas G Hatsopoulos; Sliman Bensmaia
Journal:  Neuron       Date:  2019-10-24       Impact factor: 17.173

7.  Mirror neurons precede non-mirror neurons during action execution.

Authors:  Kevin A Mazurek; Marc H Schieber
Journal:  J Neurophysiol       Date:  2019-11-06       Impact factor: 2.714

8.  Low-frequency stimulation enhances ensemble co-firing and dexterity after stroke.

Authors:  Preeya Khanna; Douglas Totten; Lisa Novik; Jeffrey Roberts; Robert J Morecraft; Karunesh Ganguly
Journal:  Cell       Date:  2021-02-10       Impact factor: 41.582

9.  Motor cortical activity changes during neuroprosthetic-controlled object interaction.

Authors:  John E Downey; Lucas Brane; Robert A Gaunt; Elizabeth C Tyler-Kabara; Michael L Boninger; Jennifer L Collinger
Journal:  Sci Rep       Date:  2017-12-05       Impact factor: 4.379

10.  Rapid Identification of Cortical Motor Areas in Rodents by High-Frequency Automatic Cortical Stimulation and Novel Motor Threshold Algorithm.

Authors:  Mitsuaki Takemi; Elisa Castagnola; Alberto Ansaldo; Davide Ricci; Luciano Fadiga; Miki Taoka; Atsushi Iriki; Junichi Ushiba
Journal:  Front Neurosci       Date:  2017-10-17       Impact factor: 4.677

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.