Literature DB >> 20181732

Selective regions of the visuomotor system are related to gain-induced changes in force error.

Stephen A Coombes1, Daniel M Corcos, Lisa Sprute, David E Vaillancourt.   

Abstract

When humans perform movements and receive on-line visual feedback about their performance, the spatial qualities of the visual information alter performance. The spatial qualities of visual information can be altered via the manipulation of visual gain and changes in visual gain lead to changes in force error. The current study used functional magnetic resonance imaging during a steady-state precision grip force task to examine how cortical and subcortical brain activity can change with visual gain induced changes in force error. Small increases in visual gain < 1° were associated with a substantial reduction in force error and a small increase in the spatial amplitude of visual feedback. These behavioral effects corresponded with an increase in activation bilaterally in V3 and V5 and in left primary motor cortex and left ventral premotor cortex. Large increases in visual gain > 1° were associated with a small change in force error and a large change in the spatial amplitude of visual feedback. These behavioral effects corresponded with increased activity bilaterally in dorsal and ventral premotor areas and right inferior parietal lobule. Finally, activity in the left and right lobule VI of the cerebellum and left and right putamen did not change with increases in visual gain. Together, these findings demonstrate that the visuomotor system does not respond uniformly to changes in the gain of visual feedback. Instead, specific regions of the visuomotor system selectively change in activity related to large changes in force error and large changes in the spatial amplitude of visual feedback.

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Year:  2010        PMID: 20181732      PMCID: PMC2853269          DOI: 10.1152/jn.00920.2009

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


  58 in total

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Journal:  J Neurophysiol       Date:  1998-11       Impact factor: 2.714

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Authors:  T J Ebner; Q Fu
Journal:  Prog Brain Res       Date:  1997       Impact factor: 2.453

8.  Visuospatial versus visuomotor activity in the premotor and prefrontal cortex of a primate.

Authors:  G di Pellegrino; S P Wise
Journal:  J Neurosci       Date:  1993-03       Impact factor: 6.167

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Authors:  M Weinrich; S P Wise
Journal:  J Neurosci       Date:  1982-09       Impact factor: 6.167

10.  Induced deficits in speed perception by transcranial magnetic stimulation of human cortical areas V5/MT+ and V3A.

Authors:  Declan J McKeefry; Mark P Burton; Chara Vakrou; Brendan T Barrett; Anthony B Morland
Journal:  J Neurosci       Date:  2008-07-02       Impact factor: 6.167

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  37 in total

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2.  Spatiotemporal dynamics of brain activity during the transition from visually guided to memory-guided force control.

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3.  Processing of visual information compromises the ability of older adults to control novel fine motor tasks.

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4.  Investigating Age-related changes in fine motor control across different effectors and the impact of white matter integrity.

Authors:  Joseph L Holtrop; Torrey M Loucks; Jacob J Sosnoff; Bradley P Sutton
Journal:  Neuroimage       Date:  2014-03-20       Impact factor: 6.556

5.  Visual information gain and task asymmetry interact in bimanual force coordination and control.

Authors:  Xiaogang Hu; Karl M Newell
Journal:  Exp Brain Res       Date:  2011-06-11       Impact factor: 1.972

6.  Quiet eye and the Bereitschaftspotential: visuomotor mechanisms of expert motor performance.

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7.  A Template and Probabilistic Atlas of the Human Sensorimotor Tracts using Diffusion MRI.

Authors:  Derek B Archer; David E Vaillancourt; Stephen A Coombes
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8.  Low-frequency fluctuation in continuous real-time feedback of finger force: a new paradigm for sustained attention.

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Journal:  Neurosci Bull       Date:  2012-08       Impact factor: 5.203

9.  Transient shifts in frontal and parietal circuits scale with enhanced visual feedback and changes in force variability and error.

Authors:  Cynthia Poon; Stephen A Coombes; Daniel M Corcos; Evangelos A Christou; David E Vaillancourt
Journal:  J Neurophysiol       Date:  2013-01-30       Impact factor: 2.714

10.  Force and time gain interact to nonlinearly scale adaptive visual-motor isometric force control.

Authors:  Xiaogang Hu; Karl M Newell
Journal:  Exp Brain Res       Date:  2012-07-14       Impact factor: 1.972

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