Skip to main content
Top
Published in: Experimental Brain Research 1/2010

01-04-2010 | Research Article

Timing variability and not force variability predicts the endpoint accuracy of fast and slow isometric contractions

Authors: Brach Poston, Evangelos A. Christou, Joel A. Enoka, Roger M. Enoka

Published in: Experimental Brain Research | Issue 1/2010

Login to get access

Abstract

The purpose of the study was to determine the contributions of endpoint variance and trajectory variability to the endpoint accuracy of goal-directed isometric contractions when the target force and contraction speed were varied. Thirteen young adults (25 ± 6 years) performed blocks of 15 trials at each of 2 contraction speeds and 4 target forces. Subjects were instructed to match the peak of a parabolic force trajectory to a target force by controlling the abduction force exerted by the index finger. The time to peak force was either 150 ms (fast) or 1 s (slow). The target forces were 20, 40, 60, and 80% of the maximal force that could be achieved in 150 ms during an MVC. The same absolute forces were required for both contraction speeds. Endpoint accuracy and variability in force and time along with intramuscular EMG activity of the agonist (first dorsal interosseus) and antagonist (second palmar interosseus) muscles were quantified for each block of trials. The principal dependent variables were endpoint error (shortest distance between the coordinates of the target and the peak force), endpoint variance (sum of the variance in peak force and time to peak force), trial-to-trial variability (SD of peak force and time to peak force), SD of the force trajectory (SD of the detrended force from force onset to peak force), normalized peak EMG amplitude, and the SD of normalized peak EMG amplitude. Stepwise multiple linear regression models were used to determine the EMG activity parameters that could explain the differences observed in endpoint error and endpoint variance. Endpoint error increased with target force for the fast contractions, but not for the slow contractions. In contrast, endpoint variance was greatest at the lowest force and was not associated with endpoint error at either contraction speed. Furthermore, force trajectory SD was not associated with endpoint error or endpoint variance for either contraction speed. Only the trial-to-trial variability of the timing predicted endpoint accuracy for fast and slow contractions. These findings indicate that endpoint error in tasks that require force and timing accuracy is minimized by controlling timing variability but not force variability, and that endpoint error is not related to the amplitude of the activation signal.
Literature
go back to reference Carlton LG, Newell KM (1993) Force variability and characteristics of force production. In: Newell KM, Corcos D (eds) Variability and motor control. Human Kinetics, Champaign, Illinois Carlton LG, Newell KM (1993) Force variability and characteristics of force production. In: Newell KM, Corcos D (eds) Variability and motor control. Human Kinetics, Champaign, Illinois
go back to reference Chao EYS, An KN, Cooney WP III, Linscheid RL (1989) Biomechanics of the Hand, A Basic Research Study. World Scientific Publishing, Teaneack, NJ Chao EYS, An KN, Cooney WP III, Linscheid RL (1989) Biomechanics of the Hand, A Basic Research Study. World Scientific Publishing, Teaneack, NJ
go back to reference Christou EA, Carlton LG (2001) Old adults exhibit greater motor output variability than young adults only during rapid discrete isometric contractions. J Gerontol A Biol Sci Med Sci 56:B524–B532PubMed Christou EA, Carlton LG (2001) Old adults exhibit greater motor output variability than young adults only during rapid discrete isometric contractions. J Gerontol A Biol Sci Med Sci 56:B524–B532PubMed
go back to reference Christou EA, Carlton LG (2002) Motor output is more variable during eccentric compared with concentric contractions. Med Sci Sports Exerc 34:1773–1778CrossRefPubMed Christou EA, Carlton LG (2002) Motor output is more variable during eccentric compared with concentric contractions. Med Sci Sports Exerc 34:1773–1778CrossRefPubMed
go back to reference Christou EA, Grossman M, Carlton LG (2002a) Modeling variability of force during isometric contractions of the quadriceps femoris. J Mot Behav 34:67–81CrossRefPubMed Christou EA, Grossman M, Carlton LG (2002a) Modeling variability of force during isometric contractions of the quadriceps femoris. J Mot Behav 34:67–81CrossRefPubMed
go back to reference Christou EA, Tracy BL, Enoka RM (2002b) The steadiness of lengthening contractions. In: Progress in motor control, volume II: structure–function relations in voluntary movements. Human Kinetics, Champaign, pp 195–207 Christou EA, Tracy BL, Enoka RM (2002b) The steadiness of lengthening contractions. In: Progress in motor control, volume II: structure–function relations in voluntary movements. Human Kinetics, Champaign, pp 195–207
go back to reference Christou EA, Shinohara M, Enoka RM (2003) Fluctuations in acceleration during voluntary contractions lead to greater impairment of movement accuracy in old adults. J Appl Physiol 95:373–384PubMed Christou EA, Shinohara M, Enoka RM (2003) Fluctuations in acceleration during voluntary contractions lead to greater impairment of movement accuracy in old adults. J Appl Physiol 95:373–384PubMed
go back to reference Christou EA, Poston B, Enoka JA, Enoka RM (2007) Different neural adjustments improve endpoint accuracy with practice in young and old adults. J Neurophysiol 97:3340–3350CrossRefPubMed Christou EA, Poston B, Enoka JA, Enoka RM (2007) Different neural adjustments improve endpoint accuracy with practice in young and old adults. J Neurophysiol 97:3340–3350CrossRefPubMed
go back to reference Cordo P, Carlton L, Bevan L, Carlton M, Kerr GK (1994) Proprioceptive coordination of movement sequences: role of velocity and position information. J Neurophysiol 71:1848–1861PubMed Cordo P, Carlton L, Bevan L, Carlton M, Kerr GK (1994) Proprioceptive coordination of movement sequences: role of velocity and position information. J Neurophysiol 71:1848–1861PubMed
go back to reference Darling WG, Cooke JD (1987) Changes in the variability of movement trajectories with practice. J Mot Behav 19:291–309PubMed Darling WG, Cooke JD (1987) Changes in the variability of movement trajectories with practice. J Mot Behav 19:291–309PubMed
go back to reference Darling WG, Cooke JD, Brown SH (1989) Control of simple arm movements in elderly humans. Neurobiol Aging 10:149–157CrossRefPubMed Darling WG, Cooke JD, Brown SH (1989) Control of simple arm movements in elderly humans. Neurobiol Aging 10:149–157CrossRefPubMed
go back to reference Devanne H, Cohen LG, Kouchtir-Devanne N, Capaday C (2002) Integrated motor cortical control of task-related muscles during pointing in humans. J Neurophysiol 87:3006–3017PubMed Devanne H, Cohen LG, Kouchtir-Devanne N, Capaday C (2002) Integrated motor cortical control of task-related muscles during pointing in humans. J Neurophysiol 87:3006–3017PubMed
go back to reference Enoka RM, Christou EA, Hunter SK, Kornatz KW, Semmler JG, Taylor AM, Tracy BL (2003) Mechanisms that contribute to differences in motor performance between young and old adults. J Electromyogr Kinesiol 13:1–12CrossRefPubMed Enoka RM, Christou EA, Hunter SK, Kornatz KW, Semmler JG, Taylor AM, Tracy BL (2003) Mechanisms that contribute to differences in motor performance between young and old adults. J Electromyogr Kinesiol 13:1–12CrossRefPubMed
go back to reference Fitts PM (1954) The information capacity of the human motor system in controlling the amplitude of movement. J Exp Psychol 47:381–391CrossRefPubMed Fitts PM (1954) The information capacity of the human motor system in controlling the amplitude of movement. J Exp Psychol 47:381–391CrossRefPubMed
go back to reference Fullerton GS, Cattell JM (1892) On the perception of small differences. University of Pennsylvania Press, Philadelphia Fullerton GS, Cattell JM (1892) On the perception of small differences. University of Pennsylvania Press, Philadelphia
go back to reference Gordon J, Ghez C (1987) Trajectory control in targeted force impulses III. Compensatory adjustments for initial errors. Exp Brain Res 67:253–269CrossRefPubMed Gordon J, Ghez C (1987) Trajectory control in targeted force impulses III. Compensatory adjustments for initial errors. Exp Brain Res 67:253–269CrossRefPubMed
go back to reference Green SB, Salkind NJ (2002) Using SPSS for the Windows and Macintosh: Analyzing and Understanding Data. Prentice Hall, Upper Saddle River, NJ Green SB, Salkind NJ (2002) Using SPSS for the Windows and Macintosh: Analyzing and Understanding Data. Prentice Hall, Upper Saddle River, NJ
go back to reference Gribble PL, Mullin LI, Cothros N, Mattar A (2003) Role of cocontraction in arm movement accuracy. J Neurophysiol 89:2396–2405CrossRefPubMed Gribble PL, Mullin LI, Cothros N, Mattar A (2003) Role of cocontraction in arm movement accuracy. J Neurophysiol 89:2396–2405CrossRefPubMed
go back to reference Hamilton AF, Wolpert DM (2002) Controlling the statistics of action: obstacle avoidance. J Neurophysiol 87:2434–2440PubMed Hamilton AF, Wolpert DM (2002) Controlling the statistics of action: obstacle avoidance. J Neurophysiol 87:2434–2440PubMed
go back to reference Hamilton AF, Jones KE, Wolpert DM (2004) The scaling of motor noise with muscle strength and motor unit number in humans. Exp Brain Res 157:417–430CrossRefPubMed Hamilton AF, Jones KE, Wolpert DM (2004) The scaling of motor noise with muscle strength and motor unit number in humans. Exp Brain Res 157:417–430CrossRefPubMed
go back to reference Harris CM, Wolpert DM (1998) Signal-dependent noise determines motor planning. Nature 394:780–784CrossRefPubMed Harris CM, Wolpert DM (1998) Signal-dependent noise determines motor planning. Nature 394:780–784CrossRefPubMed
go back to reference Hogan N (1984) An organizing principle for a class of voluntary movements. J Neurosci 4:2745–2754PubMed Hogan N (1984) An organizing principle for a class of voluntary movements. J Neurosci 4:2745–2754PubMed
go back to reference Jenkins WO (1947) The discrimination and reproduction of motor adjustments with various types of aircraft controls. Am J Psychiatr 60:397–406 Jenkins WO (1947) The discrimination and reproduction of motor adjustments with various types of aircraft controls. Am J Psychiatr 60:397–406
go back to reference Johansson RS, Birznieks I (2004) First spikes in ensembles of human tactile afferents encode complex spatial fingertip events. Nat Neurosci 7:170–177CrossRefPubMed Johansson RS, Birznieks I (2004) First spikes in ensembles of human tactile afferents encode complex spatial fingertip events. Nat Neurosci 7:170–177CrossRefPubMed
go back to reference Johansson RS, Westling G (1987) Signals in tactile afferents from the fingers eliciting adaptive motor responses during precision grip. Exp Brain Res 66:141–154CrossRefPubMed Johansson RS, Westling G (1987) Signals in tactile afferents from the fingers eliciting adaptive motor responses during precision grip. Exp Brain Res 66:141–154CrossRefPubMed
go back to reference Jones KE, Hamilton AF, Wolpert DM (2002) Sources of signal-dependent noise during isometric force production. J Neurophysiol 88:1533–1544CrossRefPubMed Jones KE, Hamilton AF, Wolpert DM (2002) Sources of signal-dependent noise during isometric force production. J Neurophysiol 88:1533–1544CrossRefPubMed
go back to reference Lacquaniti F, Terzuolo C, Viviani P (1983) The law relating the kinematic and figural aspects of drawing movements. Acta Psychol (Amst) 54:115–130CrossRef Lacquaniti F, Terzuolo C, Viviani P (1983) The law relating the kinematic and figural aspects of drawing movements. Acta Psychol (Amst) 54:115–130CrossRef
go back to reference Lemon RN (1993) The G. L. Brown Prize Lecture. Cortical control of the primate hand. Exp Physiol 78:263–301PubMed Lemon RN (1993) The G. L. Brown Prize Lecture. Cortical control of the primate hand. Exp Physiol 78:263–301PubMed
go back to reference Li ZM, Pfaeffle HJ, Sotereanos DG, Goitz RJ, Woo SL (2003) Multi-directional strength and force envelope of the index finger. Clin Biomech (Bristol, Avon) 18:908–915CrossRef Li ZM, Pfaeffle HJ, Sotereanos DG, Goitz RJ, Woo SL (2003) Multi-directional strength and force envelope of the index finger. Clin Biomech (Bristol, Avon) 18:908–915CrossRef
go back to reference Muller H, Sternad D (2004) Decomposition of variability in the execution of goal-oriented tasks: three components of skill improvement. J Exp Psychol Hum Percept Perform 30:212–233CrossRefPubMed Muller H, Sternad D (2004) Decomposition of variability in the execution of goal-oriented tasks: three components of skill improvement. J Exp Psychol Hum Percept Perform 30:212–233CrossRefPubMed
go back to reference Newell KM, Carlton LG (1985) On the relationship between peak force and peak force variability in isometric tasks. J Mot Behav 17:230–241PubMed Newell KM, Carlton LG (1985) On the relationship between peak force and peak force variability in isometric tasks. J Mot Behav 17:230–241PubMed
go back to reference Oldfield RC (1971) The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9:97–113CrossRefPubMed Oldfield RC (1971) The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9:97–113CrossRefPubMed
go back to reference Osu R, Kamimura N, Iwasaki H, Nakano E, Harris CM, Wada Y, Kawato M (2004) Optimal impedance control for task achievement in the presence of signal-dependent noise. J Neurophysiol 92:1199–1215CrossRefPubMed Osu R, Kamimura N, Iwasaki H, Nakano E, Harris CM, Wada Y, Kawato M (2004) Optimal impedance control for task achievement in the presence of signal-dependent noise. J Neurophysiol 92:1199–1215CrossRefPubMed
go back to reference Poston B, Enoka JA, Christou EA, Enoka RM (2005) The minimum variance theory fails to predict endpoint accuracy during slow goal-directed, isometric contractions. Soc Neurosci Abstr 990:21 Poston B, Enoka JA, Christou EA, Enoka RM (2005) The minimum variance theory fails to predict endpoint accuracy during slow goal-directed, isometric contractions. Soc Neurosci Abstr 990:21
go back to reference Poston B, Enoka JA, Enoka RM (2008a) Endpoint accuracy for two hand muscles of different sizes in young and old adults during rapid-goal directed isometric contractions. Exp Brain Res 187:373–385CrossRefPubMed Poston B, Enoka JA, Enoka RM (2008a) Endpoint accuracy for two hand muscles of different sizes in young and old adults during rapid-goal directed isometric contractions. Exp Brain Res 187:373–385CrossRefPubMed
go back to reference Poston B, Enoka JA, Enoka RM (2008b) Practice and endpoint accuracy with the left and right hands of old adults: The right-hemisphere aging model. Muscle Nerve 37:376–386CrossRefPubMed Poston B, Enoka JA, Enoka RM (2008b) Practice and endpoint accuracy with the left and right hands of old adults: The right-hemisphere aging model. Muscle Nerve 37:376–386CrossRefPubMed
go back to reference Schmidt RA, Zelaznik H, Hawkins B, Frank JS, Quinn JT Jr (1979) Motor-output variability: a theory for the accuracy of rapid motor acts. Psychol Rev 47:415–451CrossRefPubMed Schmidt RA, Zelaznik H, Hawkins B, Frank JS, Quinn JT Jr (1979) Motor-output variability: a theory for the accuracy of rapid motor acts. Psychol Rev 47:415–451CrossRefPubMed
go back to reference Shadmehr R, Mussa-Ivaldi FA (1994) Adaptive representation of dynamics during learning of a motor task. J Neurosci 14:3208–3224PubMed Shadmehr R, Mussa-Ivaldi FA (1994) Adaptive representation of dynamics during learning of a motor task. J Neurosci 14:3208–3224PubMed
go back to reference Sherwood DE, Schmidt RA (1980) The relationship between force and force variability in minimal and near-maximal static and dynamic contractions. J Mot Behav 12:75–89PubMed Sherwood DE, Schmidt RA (1980) The relationship between force and force variability in minimal and near-maximal static and dynamic contractions. J Mot Behav 12:75–89PubMed
go back to reference Slifkin AB, Newell KM (1999) Noise, information transmission, and force variability. J Exp Psychol Hum Percept Perform 25:837–851CrossRefPubMed Slifkin AB, Newell KM (1999) Noise, information transmission, and force variability. J Exp Psychol Hum Percept Perform 25:837–851CrossRefPubMed
go back to reference Slifkin AB, Newell KM (2000) Variability and noise in continuous force production. J Mot Behav 32:141–150CrossRefPubMed Slifkin AB, Newell KM (2000) Variability and noise in continuous force production. J Mot Behav 32:141–150CrossRefPubMed
go back to reference Stein RB, Gossen ER, Jones KE (2005) Neuronal variability: noise or part of the signal? Nat Rev Neurosci 6:389–397CrossRefPubMed Stein RB, Gossen ER, Jones KE (2005) Neuronal variability: noise or part of the signal? Nat Rev Neurosci 6:389–397CrossRefPubMed
go back to reference Tanaka H, Krakauer JW, Qian N (2006) An optimization principle for determining movement duration. J Neurophysiol 95:3875–3886CrossRefPubMed Tanaka H, Krakauer JW, Qian N (2006) An optimization principle for determining movement duration. J Neurophysiol 95:3875–3886CrossRefPubMed
go back to reference Taylor AM, Christou EA, Enoka RM (2003) Multiple features of motor-unit activity influence force fluctuations during isometric contractions. J Neurophysiol 90:1350–1361CrossRefPubMed Taylor AM, Christou EA, Enoka RM (2003) Multiple features of motor-unit activity influence force fluctuations during isometric contractions. J Neurophysiol 90:1350–1361CrossRefPubMed
go back to reference Uno Y, Kawato M, Suzuki R (1989) Formation and control of optimal trajectory in human multijoint arm movement. Minimum torque-change model. Biol Cybern 61:89–101CrossRefPubMed Uno Y, Kawato M, Suzuki R (1989) Formation and control of optimal trajectory in human multijoint arm movement. Minimum torque-change model. Biol Cybern 61:89–101CrossRefPubMed
go back to reference Valero-Cuevas FJ (2000) Predictive modulation of muscle coordination pattern magnitude scales fingertip force magnitude over the voluntary range. J Neurophysiol 83:1469–1479PubMed Valero-Cuevas FJ (2000) Predictive modulation of muscle coordination pattern magnitude scales fingertip force magnitude over the voluntary range. J Neurophysiol 83:1469–1479PubMed
go back to reference van Beers RJ, Haggard P, Wolpert DM (2004) The role of execution noise in movement variability. J Neurophysiol 91:1050–1063CrossRefPubMed van Beers RJ, Haggard P, Wolpert DM (2004) The role of execution noise in movement variability. J Neurophysiol 91:1050–1063CrossRefPubMed
go back to reference Woodworth R (1899) The accuracy of voluntary movement. Physiol Rev Monogr 3:1–114 Woodworth R (1899) The accuracy of voluntary movement. Physiol Rev Monogr 3:1–114
go back to reference Yao WX (2004) Roles of motor-unit recruitment in producing force variability of simulated muscle contractions. Mot Control 8:64–75 Yao WX (2004) Roles of motor-unit recruitment in producing force variability of simulated muscle contractions. Mot Control 8:64–75
go back to reference Zhang W, Sainburg RL, Zatsiorsky VM, Latash ML (2006) Hand dominance and multi-finger synergies. Neurosci Lett 409:200–204CrossRefPubMed Zhang W, Sainburg RL, Zatsiorsky VM, Latash ML (2006) Hand dominance and multi-finger synergies. Neurosci Lett 409:200–204CrossRefPubMed
go back to reference Zijdewind I, Kernell D (1994) Index finger position and force of the human first dorsal interosseus and its ulnar nerve antagonist. J Appl Physiol 77:987–997PubMed Zijdewind I, Kernell D (1994) Index finger position and force of the human first dorsal interosseus and its ulnar nerve antagonist. J Appl Physiol 77:987–997PubMed
Metadata
Title
Timing variability and not force variability predicts the endpoint accuracy of fast and slow isometric contractions
Authors
Brach Poston
Evangelos A. Christou
Joel A. Enoka
Roger M. Enoka
Publication date
01-04-2010
Publisher
Springer-Verlag
Published in
Experimental Brain Research / Issue 1/2010
Print ISSN: 0014-4819
Electronic ISSN: 1432-1106
DOI
https://doi.org/10.1007/s00221-009-2126-5

Other articles of this Issue 1/2010

Experimental Brain Research 1/2010 Go to the issue