Literature DB >> 26377453

Representation of Muscle Synergies in the Primate Brain.

Simon A Overduin1, Andrea d'Avella2, Jinsook Roh3, Jose M Carmena4, Emilio Bizzi5.   

Abstract

Evidence suggests that the CNS uses motor primitives to simplify movement control, but whether it actually stores primitives instead of computing solutions on the fly to satisfy task demands is a controversial and still-unanswered possibility. Also in contention is whether these primitives take the form of time-invariant muscle coactivations ("spatial" synergies) or time-varying muscle commands ("spatiotemporal" synergies). Here, we examined forelimb muscle patterns and motor cortical spiking data in rhesus macaques (Macaca mulatta) handling objects of variable shape and size. From these data, we extracted both spatiotemporal and spatial synergies using non-negative decomposition. Each spatiotemporal synergy represents a sequence of muscular or neural activations that appeared to recur frequently during the animals' behavior. Key features of the spatiotemporal synergies (including their dimensionality, timing, and amplitude modulation) were independently observed in the muscular and neural data. In addition, both at the muscular and neural levels, these spatiotemporal synergies could be readily reconstructed as sequential activations of spatial synergies (a subset of those extracted independently from the task data), suggestive of a hierarchical relationship between the two levels of synergies. The possibility that motor cortex may execute even complex skill using spatiotemporal synergies has novel implications for the design of neuroprosthetic devices, which could gain computational efficiency by adopting the discrete and low-dimensional control that these primitives imply. SIGNIFICANCE STATEMENT: We studied the motor cortical and forearm muscular activity of rhesus macaques (Macaca mulatta) as they reached, grasped, and carried objects of varied shape and size. We applied non-negative matrix factorization separately to the cortical and muscular data to reduce their dimensionality to a smaller set of time-varying "spatiotemporal" synergies. Each synergy represents a sequence of cortical or muscular activity that recurred frequently during the animals' behavior. Salient features of the synergies (including their dimensionality, timing, and amplitude modulation) were observed at both the cortical and muscular levels. The possibility that the brain may execute even complex behaviors using spatiotemporal synergies has implications for neuroprosthetic algorithm design, which could become more computationally efficient by adopting the discrete and low-dimensional control that they afford.
Copyright © 2015 the authors 0270-6474/15/3512615-10$15.00/0.

Entities:  

Keywords:  cortex; grasp; hand; motor; movement; muscle

Mesh:

Year:  2015        PMID: 26377453      PMCID: PMC4571600          DOI: 10.1523/JNEUROSCI.4302-14.2015

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


  75 in total

1.  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

2.  Complex movements evoked by microstimulation of precentral cortex.

Authors:  Michael S A Graziano; Charlotte S R Taylor; Tirin Moore
Journal:  Neuron       Date:  2002-05-30       Impact factor: 17.173

3.  Responses to spinal microstimulation in the chronically spinalized rat and their relationship to spinal systems activated by low threshold cutaneous stimulation.

Authors:  M C Tresch; E Bizzi
Journal:  Exp Brain Res       Date:  1999-12       Impact factor: 1.972

4.  Control of fast-reaching movements by muscle synergy combinations.

Authors:  Andrea d'Avella; Alessandro Portone; Laure Fernandez; Francesco Lacquaniti
Journal:  J Neurosci       Date:  2006-07-26       Impact factor: 6.167

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.  Effects of muscimol inactivations of functional domains in motor, premotor, and posterior parietal cortex on complex movements evoked by electrical stimulation.

Authors:  Iwona Stepniewska; Omar A Gharbawie; Mark J Burish; Jon H Kaas
Journal:  J Neurophysiol       Date:  2013-12-18       Impact factor: 2.714

7.  Superposition and modulation of muscle synergies for reaching in response to a change in target location.

Authors:  Andrea d'Avella; Alessandro Portone; Francesco Lacquaniti
Journal:  J Neurophysiol       Date:  2011-08-31       Impact factor: 2.714

8.  Stability of muscle synergies for voluntary actions after cortical stroke in humans.

Authors:  Vincent C K Cheung; Lamberto Piron; Michela Agostini; Stefano Silvoni; Andrea Turolla; Emilio Bizzi
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-30       Impact factor: 11.205

9.  EMG activation patterns associated with high frequency, long-duration intracortical microstimulation of primary motor cortex.

Authors:  Darcy M Griffin; Heather M Hudson; Abderraouf Belhaj-Saïf; Paul D Cheney
Journal:  J Neurosci       Date:  2014-01-29       Impact factor: 6.167

10.  Muscle synergies evoked by microstimulation are preferentially encoded during behavior.

Authors:  Simon A Overduin; Andrea d'Avella; Jose M Carmena; Emilio Bizzi
Journal:  Front Comput Neurosci       Date:  2014-03-05       Impact factor: 2.380

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  57 in total

1.  Motor primitives are determined in early development and are then robustly conserved into adulthood.

Authors:  Qi Yang; David Logan; Simon F Giszter
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-28       Impact factor: 11.205

Review 2.  How to improve the muscle synergy analysis methodology?

Authors:  Nicolas A Turpin; Stéphane Uriac; Georges Dalleau
Journal:  Eur J Appl Physiol       Date:  2021-01-26       Impact factor: 3.078

3.  Neural basis for hand muscle synergies in the primate spinal cord.

Authors:  Tomohiko Takei; Joachim Confais; Saeka Tomatsu; Tomomichi Oya; Kazuhiko Seki
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-24       Impact factor: 11.205

4.  Modularity speeds up motor learning by overcoming mechanical bias in musculoskeletal geometry.

Authors:  Shota Hagio; Motoki Kouzaki
Journal:  J R Soc Interface       Date:  2018-10-10       Impact factor: 4.118

5.  Intersegmental coordination patterns are differently affected in Parkinson's disease and cerebellar ataxia.

Authors:  Simon D Israeli-Korn; Avi Barliya; Caroline Paquette; Erika Franzén; Rivka Inzelberg; Fay B Horak; Tamar Flash
Journal:  J Neurophysiol       Date:  2018-11-21       Impact factor: 2.714

6.  The motor repertoire of older adult fallers may constrain their response to balance perturbations.

Authors:  Jessica L Allen; Jason R Franz
Journal:  J Neurophysiol       Date:  2018-08-22       Impact factor: 2.714

7.  Muscle synergies obtained from comprehensive mapping of the primary motor cortex forelimb representation using high-frequency, long-duration ICMS.

Authors:  Sommer L Amundsen Huffmaster; Gustaf M Van Acker; Carl W Luchies; Paul D Cheney
Journal:  J Neurophysiol       Date:  2017-04-26       Impact factor: 2.714

8.  The effects of motor modularity on performance, learning and generalizability in upper-extremity reaching: a computational analysis.

Authors:  Mazen Al Borno; Jennifer L Hicks; Scott L Delp
Journal:  J R Soc Interface       Date:  2020-06-03       Impact factor: 4.118

9.  Representations of Fine Digit Movements in Posterior and Anterior Parietal Cortex Revealed Using Long-Train Intracortical Microstimulation in Macaque Monkeys.

Authors:  Mary K L Baldwin; Dylan F Cooke; Adam B Goldring; Leah Krubitzer
Journal:  Cereb Cortex       Date:  2018-12-01       Impact factor: 5.357

10.  Chronic pain alters spatiotemporal activation patterns of forearm muscle synergies during the development of grip force.

Authors:  Nagarajan Manickaraj; Leanne M Bisset; Venkata S P T Devanaboyina; Justin J Kavanagh
Journal:  J Neurophysiol       Date:  2017-07-19       Impact factor: 2.714

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