Literature DB >> 10473750

Context-dependent force coding in motor and premotor cortical areas.

M Hepp-Reymond1, M Kirkpatrick-Tanner, L Gabernet, H X Qi, B Weber.   

Abstract

In three monkeys trained to finely grade grip force in a visuomotor step-tracking task, the effect of the context on neuronal force correlates was quantitatively assessed. Three trial types, which differed in force range, number, and direction of the force steps, were presented pseudo-randomly and cued with the color of the cursor serving as feedback of the exerted force. Quantitative analyses were made on 85 neurons with similar discharge patterns in the three trial types and significant linear positive (54 cells) or negative (31 cells) correlation coefficients between firing rate and force. An analysis of covariance (ANCOVA) showed that the population slopes for 2-step were steeper than for 3-step trials. Another ANCOVA at the population level, computed on the differences in firing rate and force between force steps, persistently disclosed a significant effect of trial type. For the first two force steps, the differences in firing rate were significantly larger in the 2-step than in the 3-step increase trials. Further analyses revealed that neither the force range nor the number of steps was a unique factor. A small group of neurons was tested in an additional trial series with a uniform cue for all three trials, leading to either a loss of context-dependency or to unexpected changes in firing rate. This demonstrates that the cue color was an important instruction for task performance and neuronal activity. The most important findings are that the context-dependent changes were occurring "on-line", and that neurons displaying context-dependency were found in all three lateral premotor cortex hand regions and in the primary motor cortex. Finger muscle activity did not show any context dependency. The context-dependent effect leads to a normalization of the cortical activity. The advantage of normalization is discussed and mechanisms for the gain regulation are proposed.

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Mesh:

Year:  1999        PMID: 10473750     DOI: 10.1007/s002210050827

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  32 in total

1.  Human cortical muscle coherence is directly related to specific motor parameters.

Authors:  J M Kilner; S N Baker; S Salenius; R Hari; R N Lemon
Journal:  J Neurosci       Date:  2000-12-01       Impact factor: 6.167

2.  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

3.  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

4.  Neuronal correlates of movement dynamics in the dorsal and ventral premotor area in the monkey.

Authors:  Jun Xiao; Camillo Padoa-Schioppa; Emilio Bizzi
Journal:  Exp Brain Res       Date:  2005-09-22       Impact factor: 1.972

5.  Neural representation of response category and motor parameters in monkey prefrontal cortex.

Authors:  Tamami Fukushi; Toshiyuki Sawaguchi
Journal:  Exp Brain Res       Date:  2005-05-13       Impact factor: 1.972

6.  Modulation of the trigeminofacial pathway during syllabic speech.

Authors:  Meredith Estep; Steven M Barlow
Journal:  Brain Res       Date:  2007-08-03       Impact factor: 3.252

7.  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

8.  Role of individual basal ganglia nuclei in force amplitude generation.

Authors:  Matthew B Spraker; Hong Yu; Daniel M Corcos; David E Vaillancourt
Journal:  J Neurophysiol       Date:  2007-06-13       Impact factor: 2.714

Review 9.  Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine Interfaces.

Authors:  Chethan Pandarinath; K Cora Ames; Abigail A Russo; Ali Farshchian; Lee E Miller; Eva L Dyer; Jonathan C Kao
Journal:  J Neurosci       Date:  2018-10-31       Impact factor: 6.167

10.  Differential force scaling of fine-graded power grip force in the sensorimotor network.

Authors:  Birgit Keisker; Marie-Claude Hepp-Reymond; Armin Blickenstorfer; Martin Meyer; Spyros S Kollias
Journal:  Hum Brain Mapp       Date:  2009-08       Impact factor: 5.038

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