Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften E-learning Web-tv Video Audio
Tips voor Mijn BSL
UITGEBREID ZOEKEN
Inloggen
Top
Psychological Research
Gepubliceerd in: Psychological Research 6/2018

21-07-2017 | Original Article

Distinct and flexible rates of online control

Auteurs: John de Grosbois, Luc Tremblay

Gepubliceerd in: Psychological Research | Uitgave 6/2018

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Elliott et al. (Hum Mov Sci 10:393–418, 1991) proposed a pseudocontinuous model of online control whereby overlapping corrections lead to the appearance of smooth kinematic profiles in the presence of online feedback. More recently, it was also proposed that online control is not a singular process [see Elliott et al. (Psychol Bull 136(6):1023–1044, 2010)]. However, support for contemporary models of online control were based on methodologies that were not designed to be sensitive to different online control sub-processes. The current study sought to evaluate the possibility of multiple distinct (i.e., visual and non-visual) mechanisms contributing to the control of reaching movements completed in either a full-vision, a no-vision, or a no-vision memory-guided condition. Frequency domain analysis was applied to the acceleration traces of reaching movements. In an attempt to elicit a modulation in the online control mechanisms, these movements were completed at two levels of spatio-temporal constraint, namely with 10 and 30 cm target distances. One finding was that performance in the full-vision relative to both no-vision conditions could be distinguished via two distinct frequency peaks. Increases in the peak magnitude at the lower frequencies were associated with visuomotor mechanisms and increases in the peak magnitude at the higher frequencies were associated with non-visual mechanisms. In addition, performance to the 30-cm target led to a lower peak at a lower frequency relative to the 10 cm target, indicating that the iterative rates of visuomotor control mechanisms are flexible and sensitive to the spatio-temporal constraints of the associated movement.
vorige artikel Author Correction: Why free choices take longer than forced choices: evidence from response threshold manipulations
volgende artikel Visuomotor and motorvisual priming with different types of set-level congruency: evidence in support of ideomotor theory, and the planning and control model (PCM)
Voetnoten
1
It has been previously proposed that online control may not necessarily act at regular intervals (e.g., Cruse, Dean, Heuer, & Schmidt, 1990; Navas & Stark, 1968: see discussion).
 
2
Some temporal information could theoretically be ascertained with more advanced frequency domain techniques. However, such temporal information would be inherently limited by the short duration of the movements employed in the current study.
 
3
In addition to the alpha range of frequencies (i.e., 8–12 Hz), the theta (4–7.5 Hz) range of frequencies common to neurophysiological research (e.g., Michel, Lehmann, Henggelerm & Brandeis, 1992) was also included in our α peak range. However, alpha was chosen as a parsimonious label for this peak because the peak was observed at frequencies into this higher range (i.e., 9.5 Hz).
 
4
For reader interest only, the spectra associated with the non-normalized acceleration values have been provided in Fig. 7. Importantly, regarding both the frequency and amplitude analyses, no significant effects including Vision Condition were observed that either peak, F(2,34)s < 0.901, ps > 0.414, η G 2  < 0.010. Within and between subject, trial-to-trial variability warranted the normalization process that yielded the proportional spectra found in Fig. 6.
 
5
Importantly, given the absence of an apparent β peak in the FV condition, the comparison between the FV condition and the two NV conditions could be considered as rather artificial. However, it was deemed important to statistically evaluate the relative power at a comparable frequency to ensure that the presence of the peak lead to a statistically significant increase in pPower.
 
Literatuur
Bracewell, R. N. (1986). The Fourier transform and its applications. New York: McGraw-Hill.
Carlton, L. (1992). Visual processing time and the control of movement. In L. Proteau & D. Elliott (Eds.), Advances in psychology: Vision and motor control (pp. 3–32). Amsterdam: North-Holland.CrossRef
Crossman, E. R. F. W., & Goodeve, P. J. (1983). Feedback control of hand-movement and Fitts’ law. The Quarterly Journal of Experimental Psychology Section A : Human Experimental Psychology, 35A(2), 251–278.CrossRef
Cruse, H., Dean, J., Heuer, H., & Schmidt, R. A. (1990). Utilization of sensory information for motor control. In O. Neumann & W. Prinz (Eds.), Relationships between perception and action: Current approaches (pp. 43–74). Berlin: Springer.CrossRef
Elble, R. J., & Koller, W. C. (1990). Tremor. Baltimore: Johns Hopkins University Press.
Elliott, D., Hansen, S., Grierson, L. E. M., Lyons, J., Bennett, S. J., & Hayes, S. J. (2010). Goal-directed aiming: Two components but multiple processes. Psychological Bulletin, 136(6), 1023–1044. doi:10.​1037/​a0020958.CrossRefPubMed
Elliott, D., Hansen, S., Mendoza, J., & Tremblay, L. (2004). Learning to optimize speed, accuracy, and energy expenditure: A framework for understanding speed-accuracy relations in goal-directed aiming. Journal of Motor Behavior, 36(3), 339–351. doi:10.​3200/​JMBR.​36.​3.​339-351.CrossRefPubMed
Elliott, D., Lyons, J., Hayes, S. J., Burkitt, J. J., Roberts, J. W., Grierson, L. E. M., & Bennett, S. J. (2017). Neuroscience and biobehavioral reviews the multiple process model of goal-directed reaching revisited. Neuroscience and Biobehavioral Reviews, 72, 95–110. doi:10.​1016/​j.​neubiorev.​2016.​11.​016.CrossRefPubMed
Fautrelle, L., Prablanc, C., Berret, B., Ballay, Y., & Bonnetblanc, F. (2010). Pointing to double-step visual stimuli from a standing position: very short latency (express) corrections are observed in upper and lower limbs and may not require cortical involvement. Neuroscience, 169(2), 697–705. doi:10.​1016/​j.​neuroscience.​2010.​05.​014.CrossRefPubMed
Fitts, P. (1954). The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology, 47(6), 381–391.CrossRefPubMed
Flash, T., & Hogan, N. (1985). The coordination of arm movements: An experimentally confirmed mathematical model. The Journal of Neuroscience, 5(7), 1688–1703.CrossRefPubMed
Franklin, D. W., So, U., Osu, R., & Kawato, M. (2008). Conflicting visual and proprioceptive reflex responses during reaching movements. In M. Ishikawa, K. Doya, H. Miyamoto, & T. Yamakawa (Eds.), Neural information processing (pp. 1002–1011). Heidelberg: Springer.CrossRef
Georgopoulos, A. P., Kalaska, J. F., Caminiti, R., & Massey, J. T. (1983). Interruption of motor cortical discharge subserving aimed arm movements. Experimental Brain Research, 49, 327–340. doi:10.​1007/​BF00238775.CrossRefPubMed
Hansen, S., Glazebrook, C. M., Anson, J. G., Weeks, D. J., & Elliott, D. (2006). The influence of advance information about target location and visual feedback on movement planning and execution. Canadian Journal of Experimental Psychology, 60(3), 200–208. doi:10.​1037/​cjep2006019.CrossRefPubMed
Heath, M. (2005). Role of limb and target vision in the online control of memory-guided reaches. Motor Control, 9(3), 281–311.CrossRefPubMed
Heath, M., Westwood, D. A., & Binsted, G. (2004). The control of memory-guided reaching movements in peripersonal space. Motor Control, 8, 76–106.CrossRefPubMed
Howarth, C. I., Beggs, W. D. A., & Bowden, J. (1971). The relationship between speed and accuracy of movement aimed at a target. Acta Psychologica, 35, 207–218.CrossRef
Jeannerod, M. (1986). Are corrections in accurate arm movements corrective? In H. J. Freund, U. Buttner, B. Cohen, & J. Noth (Eds.), Progress in brain research (Vol. 64, pp. 353–360). Amsterdam: Elsevier Science Publishers.
Khan, M. A., Franks, I. M., Elliott, D., Lawrence, G. P., Chua, R., Bernier, P., & Weeks, D. J. (2006). Inferring online and offline processing of visual feedback in target-directed movements from kinematic data. Neuroscience and Biobehavioral Reviews, 30, 1106–1121. doi:10.​1016/​j.​neubiorev.​2006.​05.​002.CrossRefPubMed
Klapp, S. T., & Erwin, C. I. (1976). Relation between programming time and duration of the response being programmed. Journal of Experimental Psychology: Human Perception and Performance, 2(4), 591–598. doi:10.​1037/​0096-1523.​2.​4.​591.PubMed
Manson, G. A., Alekhina, M., Srubiski, S. L., Williams, C. K., Bhattacharjee, A., & Tremblay, L. (2014). Effects of robotic guidance on sensorimotor control: planning vs. online control? NeuroRehabilitation, 35(4), 689–700. doi:10.​3233/​NRE-141168.PubMed
Miall, R. C., & Jackson, J. K. (2006). Adaptation to visual feedback delays in manual tracking: Evidence against the Smith Predictor model of human visually guided action. Experimental Brain Research, 172(1), 77–84. doi:10.​1007/​s00221-005-0306-5.CrossRefPubMed
Michel, C. M., Lehmann, D., Henggeler, B., & Brandeis, D. (1992). Localization of the sources of EEG delta, theta, alpha and beta frequency bands using the FFT dipole approximation. Electroencephalography and Clinical Neurophysiology, 82, 38–44. doi:10.​1016/​0013-4694(92)90180-P.CrossRefPubMed
Pélisson, D., Prablanc, C., Goodale, A., & Jeannerod, M. (1986). Visual control of reaching movements without vision of the limb: II. Evidence of fast unconscious processes correcting the trajectory of the hand to the final position of a double-step stimulus. Experimental Brain Research, 62, 303–311. doi:10.​1007/​BF00238849.CrossRefPubMed
Randall, R. B. (2008). Spectral analysis and correlation. In D. Havelock, S. Kuwano, & M. Vorlander (Eds.), Handbook of signal processing in acoustics (pp. 33–52). New York: Springer.CrossRef
Rossetti, Y., Stelmach, G., Desmurget, M., Prablanc, C., & Jeannerod, M. (1994). The effect of viewing the static hand prior to movement onset on pointing kinematics and variability. Experimental Brain Research, 101(2), 323–330. doi:10.​1007/​BF00228753.CrossRefPubMed
Sarlegna, F., Blouin, J., Bresciani, J.-P., Bourdin, C., Vercher, J.-L., & Gauthier, G. M. (2003). Target and hand position information in the online control of goal-directed arm movements. Experimental Brain Research, 151(4), 524–535. doi:10.​1007/​s00221-003-1504-7.CrossRefPubMed
Sosnoff, J. J., & Newell, K. M. (2005). Intermittent visual information and the multiple time scales of visual motor control of continuous isometric force production. Perception & Psychophysics, 67(2), 335–344. doi:10.​3758/​BF03206496.CrossRef
Tremblay, L., Crainic, V. A., de Grosbois, J., Bhattacharjee, A., Kennedy, A., Hansen, S., & Welsh, T. N. (2017). An optimal velocity for limb-target regulation processes? Experimental Brain Research, 235(1), 29–40. doi:10.​1007/​s00221-016-4770-x.CrossRefPubMed
van Galen, G. P., van Doorn, R. R. A., & Schomaker, L. R. B. (1990). Effects of motor programming on the power spectral density function of finger and wrist movements. Journal of Experimental Psychology: Human Perception and Performance, 16(4), 755–765. doi:10.​1037/​0096-1523.​16.​4.​755.PubMed
Warner, R. M. (1998). Spectral analysis of time series data. New York: Guilford Press.
Metagegevens
Titel
Distinct and flexible rates of online control
Auteurs
John de Grosbois
Luc Tremblay
Publicatiedatum
21-07-2017
Uitgeverij
Springer Berlin Heidelberg
Gepubliceerd in
Psychological Research / Uitgave 6/2018
Print ISSN: 0340-0727
Elektronisch ISSN: 1430-2772
DOI
https://doi.org/10.1007/s00426-017-0888-0

Andere artikelen Uitgave 6/2018

Psychological Research 6/2018 Naar de uitgave

Original Article

Barriers to success: physical separation optimizes event-file retrieval in shared workspaces

Original Article

The many routes of mental navigation: contrasting the effects of a detailed and gist retrieval approach on using and forming spatial representations

Original Article

Communication for coordination: gesture kinematics and conventionality affect synchronization success in piano duos

Original Article

Perceptual similarity induces overinvestment in an attentional blink task

Original Article

The processing of price comparison is not holistic but componential

Original Article

Intentional binding of two effects