Literature DB >> 23657285

Primary motor cortical discharge during force field adaptation reflects muscle-like dynamics.

Anil Cherian1, Hugo L Fernandes, Lee E Miller.   

Abstract

We often make reaching movements having similar trajectories within very different mechanical environments, for example, with and without an added load in the hand. Under these varying conditions, our kinematic intentions must be transformed into muscle commands that move the limbs. Primary motor cortex (M1) has been implicated in the neural mechanism that mediates this adaptation to new movement dynamics, but our recent experiments suggest otherwise. We have recorded from electrode arrays that were chronically implanted in M1 as monkeys made reaching movements under two different dynamic conditions: the movements were opposed by either a clockwise or counterclockwise velocity-dependent force field acting at the hand. Under these conditions, the preferred direction (PD) of neural discharge for nearly all neurons rotated in the direction of the applied field, as did those of proximal limb electromyograms (EMGs), although the median neural rotation was significantly smaller than that of muscles. For a given neuron, the rotation angle was very consistent, even across multiple sessions. Within the limits of measurement uncertainty, both the neural and EMG changes occurred nearly instantaneously, reaching a steady state despite ongoing behavioral adaptation. Our results suggest that M1 is not directly involved in the adaptive changes that occurred within an experimental session. Rather, most M1 neurons are directly related to the dynamics of muscle activation that themselves reflect the external load. It appears as though gain modulation, the differential recruitment of M1 neurons by higher motor areas, can account for the load and behavioral adaptation-related changes in M1 discharge.

Entities:  

Keywords:  curl fields; inverse dynamics model; monkey; reaching movements

Mesh:

Year:  2013        PMID: 23657285      PMCID: PMC3742991          DOI: 10.1152/jn.00109.2012

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  67 in total

Review 1.  Internal models for motor control and trajectory planning.

Authors:  M Kawato
Journal:  Curr Opin Neurobiol       Date:  1999-12       Impact factor: 6.627

2.  Cortical involvement in the recruitment of wrist muscles.

Authors:  Ashvin Shah; Andrew H Fagg; Andrew G Barto
Journal:  J Neurophysiol       Date:  2004-01-28       Impact factor: 2.714

3.  Neuronal correlates of kinematics-to-dynamics transformation in the supplementary motor area.

Authors:  Camillo Padoa-Schioppa; Chiang Shan Ray Li; Emilio Bizzi
Journal:  Neuron       Date:  2002-11-14       Impact factor: 17.173

4.  Neuronal correlates of memory formation in motor cortex after adaptation to force field.

Authors:  Fritzie Arce; Itai Novick; Yael Mandelblat-Cerf; Eilon Vaadia
Journal:  J Neurosci       Date:  2010-07-07       Impact factor: 6.167

5.  Mixture of trajectory models for neural decoding of goal-directed movements.

Authors:  Byron M Yu; Caleb Kemere; Gopal Santhanam; Afsheen Afshar; Stephen I Ryu; Teresa H Meng; Maneesh Sahani; Krishna V Shenoy
Journal:  J Neurophysiol       Date:  2007-02-28       Impact factor: 2.714

6.  Statistical assessment of the stability of neural movement representations.

Authors:  Ian H Stevenson; Anil Cherian; Brian M London; Nicholas A Sachs; Eric Lindberg; Jacob Reimer; Marc W Slutzky; Nicholas G Hatsopoulos; Lee E Miller; Konrad P Kording
Journal:  J Neurophysiol       Date:  2011-05-25       Impact factor: 2.714

7.  Motor cortical prediction of EMG: evidence that a kinetic brain-machine interface may be robust across altered movement dynamics.

Authors:  A Cherian; M O Krucoff; L E Miller
Journal:  J Neurophysiol       Date:  2011-05-11       Impact factor: 2.714

8.  Cortical networks for visual reaching: physiological and anatomical organization of frontal and parietal lobe arm regions.

Authors:  P B Johnson; S Ferraina; L Bianchi; R Caminiti
Journal:  Cereb Cortex       Date:  1996 Mar-Apr       Impact factor: 5.357

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.  Rewiring neural interactions by micro-stimulation.

Authors:  James M Rebesco; Ian H Stevenson; Konrad P Körding; Sara A Solla; Lee E Miller
Journal:  Front Syst Neurosci       Date:  2010-08-23
View more
  16 in total

1.  Primary motor cortex neurons classified in a postural task predict muscle activation patterns in a reaching task.

Authors:  Ethan A Heming; Timothy P Lillicrap; Mohsen Omrani; Troy M Herter; J Andrew Pruszynski; Stephen H Scott
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

2.  The influence of proprioceptive state on learning control of reach dynamics.

Authors:  Andrea M Green; Jean-Philippe Labelle
Journal:  Exp Brain Res       Date:  2015-07-14       Impact factor: 1.972

Review 3.  Perspectives on classical controversies about the motor cortex.

Authors:  Mohsen Omrani; Matthew T Kaufman; Nicholas G Hatsopoulos; Paul D Cheney
Journal:  J Neurophysiol       Date:  2017-06-14       Impact factor: 2.714

Review 4.  Computation Through Neural Population Dynamics.

Authors:  Saurabh Vyas; Matthew D Golub; David Sussillo; Krishna V Shenoy
Journal:  Annu Rev Neurosci       Date:  2020-07-08       Impact factor: 12.449

5.  Maintained Representations of the Ipsilateral and Contralateral Limbs during Bimanual Control in Primary Motor Cortex.

Authors:  Kevin P Cross; Ethan A Heming; Douglas J Cook; Stephen H Scott
Journal:  J Neurosci       Date:  2020-07-23       Impact factor: 6.167

6.  Preferential encoding of movement amplitude and speed in the primary motor cortex and cerebellum.

Authors:  Alit Stark-Inbar; Eran Dayan
Journal:  Hum Brain Mapp       Date:  2017-09-08       Impact factor: 5.038

7.  Altered tuning in primary motor cortex does not account for behavioral adaptation during force field learning.

Authors:  Matthew G Perich; Lee E Miller
Journal:  Exp Brain Res       Date:  2017-06-06       Impact factor: 1.972

8.  Neural control of finger movement via intracortical brain-machine interface.

Authors:  Z T Irwin; K E Schroeder; P P Vu; A J Bullard; D M Tat; C S Nu; A Vaskov; S R Nason; D E Thompson; J N Bentley; P G Patil; C A Chestek
Journal:  J Neural Eng       Date:  2017-12       Impact factor: 5.379

9.  A Neural Population Mechanism for Rapid Learning.

Authors:  Matthew G Perich; Juan A Gallego; Lee E Miller
Journal:  Neuron       Date:  2018-10-18       Impact factor: 17.173

10.  Differential Representation of Articulatory Gestures and Phonemes in Precentral and Inferior Frontal Gyri.

Authors:  Emily M Mugler; Matthew C Tate; Karen Livescu; Jessica W Templer; Matthew A Goldrick; Marc W Slutzky
Journal:  J Neurosci       Date:  2018-09-26       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.