Removal of visual feedback alters muscle activity and reduces force variability during constant isometric contractions

The purpose of this study was to compare force accuracy, force variability and muscle activity during constant isometric contractions at different force levels with and without visual feedback and at different feedback gains. In experiment 1, subjects were instructed to accurately match the target force at 2, 15, 30, 50, and 70% of their maximal isometric force with abduction of the index finger and maintain their force even in the absence of visual feedback. Each trial lasted 22 s and visual feedback was removed from 8–12 to 16–20 s. Each subject performed 6 trials at each target force, half with visual gain of 51.2 pixels/N and the rest with a visual gain of 12.8 pixels/N. Force error was calculated as the root mean square error of the force trace from the target line. Force variability was quantified as the standard deviation and coefficient of variation (CVF) of the force trace. The EMG activity of the agonist (first dorsal interosseus; FDI) was measured with bipolar surface electrodes placed distal to the innervation zone. Independent of visual gain and force level, subjects exhibited lower force error with the visual feedback condition (2.53 ± 2.95 vs. 2.71 ± 2.97 N; P < 0.01); whereas, force variability was lower when visual feedback was removed (CVF: 4.06 ± 3.11 vs. 4.47 ± 3.14, P < 0.01). The EMG activity of the FDI muscle was higher during the visual feedback condition and this difference increased especially at higher force levels (70%: 370 ± 149 vs. 350 ± 143 μV, P < 0.01). Experiment 2 examined whether the findings of experiment 1 were driven by the higher force levels and proximity in the gain of visual feedback. Subjects performed constant isometric contractions with the abduction of the index finger at an absolute force of 2 N, with two distinct feedback gains of 15 and 3,000 pixels/N. In agreement with the findings of experiment 1, subjects exhibited lower force error in the presence of visual feedback especially when the feedback gain was high (0.057 ± 0.03 vs. 0.095 ± 0.05 N). However, force variability was not affected by the vastly distinct feedback gains at this force, which supported and extended the findings from experiment 1. Our findings demonstrate that although removal of visual feedback amplifies force error, it can reduce force variability during constant isometric contractions due to an altered activation of the primary agonist muscle most likely at moderate force levels in young adults.

[1]  R. C. Oldfield The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[2]  E. R. Crossman,et al.  Feedback Control of Hand-Movement and Fitts' Law , 1983, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[3]  Edmund Y. S. Chao,et al.  Biomechanics of the hand : a basic research study , 1989 .

[4]  T. Homma,et al.  Ramification pattern of intermetacarpal branches of the deep branch (ramus profundus) of the ulnar nerve in the human hand. , 1991, Acta anatomica.

[5]  Digby Elliott,et al.  Vision and motor control , 1992 .

[6]  Les G. Carlton,et al.  Chapter 1 Visual Processing Time and the Control of Movement , 1992 .

[7]  R. Miall,et al.  Intermittency in human manual tracking tasks. , 1993, Journal of motor behavior.

[8]  C. J. Luca,et al.  Common drive of motor units in regulation of muscle force , 1994, Trends in Neurosciences.

[9]  K. Newell,et al.  Intermittency in the control of continuous force production. , 2000, Journal of neurophysiology.

[10]  P. Brown Cortical drives to human muscle: the Piper and related rhythms , 2000, Progress in Neurobiology.

[11]  W. Helsen,et al.  A century later: Woodworth's (1899) two-component model of goal-directed aiming. , 2001, Psychological bulletin.

[12]  K. Newell,et al.  Visual control of isometric force in Parkinson's disease , 2001, Neuropsychologia.

[13]  K. Newell,et al.  Intermittency in the visual control of force in Parkinson's disease , 2001, Experimental Brain Research.

[14]  D. Turner Expiratory resistive loaded breathing in humans increases fluctuations of force production in submaximal isometric quadriceps contractions , 2002, Neuroscience Letters.

[15]  Les G Carlton,et al.  Modeling Variability of Force During Isometric Contractions of the Quadriceps Femoris , 2002, Journal of motor behavior.

[16]  David E. Vaillancourt,et al.  Temporal capacity of short-term visuomotor memory in continuous force production , 2002, Experimental Brain Research.

[17]  K. Newell,et al.  Effects of aging on force variability, single motor unit discharge patterns, and the structure of 10, 20, and 40 Hz EMG activity , 2003, Neurobiology of Aging.

[18]  Zong-Ming Li,et al.  Multi-directional strength and force envelope of the index finger. , 2003, Clinical biomechanics.

[19]  R. Enoka,et al.  Mechanisms that contribute to differences in motor performance between young and old adults. , 2003, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[20]  Roger M Enoka,et al.  Multiple features of motor-unit activity influence force fluctuations during isometric contractions. , 2003, Journal of neurophysiology.

[21]  Martin Falcke,et al.  Buffers and oscillations in intracellular Ca2+ dynamics. , 2003, Biophysical journal.

[22]  R. Enoka,et al.  Fatigability of the elbow flexor muscles for a sustained submaximal contraction is similar in men and women matched for strength. , 2004, Journal of applied physiology.

[23]  R. Enoka,et al.  The 1- to 2-Hz oscillations in muscle force are exacerbated by stress, especially in older adults. , 2004, Journal of applied physiology.

[24]  Daniel M. Corcos,et al.  Subthalamic nucleus and internal globus pallidus scale with the rate of change of force production in humans , 2004, NeuroImage.

[25]  Roberto Merletti,et al.  The extraction of neural strategies from the surface EMG. , 2004, Journal of applied physiology.

[26]  C. Moritz,et al.  Discharge rate variability influences the variation in force fluctuations across the working range of a hand muscle. , 2005, Journal of neurophysiology.

[27]  K. Newell,et al.  Information processing limitations with aging in the visual scaling of isometric force , 2006, Experimental Brain Research.

[28]  E. Christou Visual feedback attenuates force fluctuations induced by a stressor. , 2005, Medicine and science in sports and exercise.

[29]  Keith Davids,et al.  Movement system variability , 2005 .

[30]  K. Newell,et al.  Intermittent visual information and the multiple time scales of visual motor control of continuous isometric force production , 2005, Perception & psychophysics.

[31]  B. Tracy,et al.  Variability of quadriceps femoris motor neuron discharge and muscle force in human aging , 2007, Experimental Brain Research.

[32]  K. Newell,et al.  Aging, visual intermittency, and variability in isometric force output. , 2006, The journals of gerontology. Series B, Psychological sciences and social sciences.

[33]  K. Newell,et al.  Independence between the amount and structure of variability at low force levels , 2006, Neuroscience Letters.

[34]  B. Tracy,et al.  Aging, visuomotor correction, and force fluctuations in large muscles. , 2007, Medicine and science in sports and exercise.

[35]  Sheng Li,et al.  Forced ventilation increases variability of isometric finger forces , 2007, Neuroscience Letters.

[36]  B. Tracy,et al.  Force control is impaired in the ankle plantarflexors of elderly adults , 2007, European Journal of Applied Physiology.

[37]  B. Tracy Visuomotor contribution to force variability in the plantarflexor and dorsiflexor muscles. , 2007, Human movement science.

[38]  Pooja Wasson,et al.  Effects of visual and auditory feedback on sensorimotor circuits in the basal ganglia. , 2008, Journal of neurophysiology.

[39]  K. Newell,et al.  Compensatory properties of visual information in the control of isometric force , 2008, Perception & psychophysics.

[40]  Edward L Keller,et al.  Neural Activity in the Frontal Eye Fields Modulated by the Number of Alternatives in Target Choice , 2008, The Journal of Neuroscience.