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Experimental Brain Research

, Volume 162, Issue 1, pp 89–94 | Cite as

No evidence of a lower visual field specialization for visuomotor control

  • Gord Binsted
  • Matthew Heath
Research Article

Abstract

The lower visual field (loVF) has been hypothesized to demonstrate specialization for skilled, visually guided action. According to Danckert and Goodale (Exp Brain Res 2002; 137:303–308), this visual field asymmetry indirectly suggests that the loVF has privileged connections to visuomotor networks within the dorsal visual pathway. Here we attempted to replicate the loVF advantage during the execution of a discrete aiming movement to targets of various widths (index of difficulty ranging from 1.5 to 5 bits). In addition, we employed trials in which vision of the target object was available or unavailable during the reaching movement to determine whether or not the purported visual field asymmetry reflects enhanced central planning (i.e., feedforward) or online control (i.e., feedback) processes. Reaching trajectories were examined for indicators of online amendments, and movement times and endpoint characteristics were examined to quantify possible visual field asymmetries in relative speed/accuracy trade-offs. In terms of reaching kinematics, it was found that vision of the target during the reaching movement resulted in greater online control of the reaching trajectory; however, no significant main effects or interactions involving visual field were observed. In other words, fixating in the upper or the lower region of peripersonal space did not influence the nature of reaching control (i.e., feedback vs. feedforward). Most importantly, our movement time and endpoint accuracy data elicited a robust speed/accuracy trade-off in both upper and lower regions of working space [cf. Fitts, J Exp Psychol 1954; 48:303–312]. Thus, and contrary to previous findings (such as those reported by Danckert and Goodale), the indices of difficulty coupled with the discrete aiming task used here did not elicit a lower visual field advantage for visually guided action.

Keywords

Aiming Visual field Closed-loop Open-loop Perception Action 

References

  1. Binsted G, Elliott D (1999) Ocular perturbations and retinal/extraretinal information: the coordination of saccadic and manual movements. Exp Brain Res 127:193–206CrossRefPubMedGoogle Scholar
  2. Binsted G, Heath M (to be published) Can the motor system utilize a stored representation to control movement? Behav Brain SciGoogle Scholar
  3. Carlton LG (1981) Visual information: the control of aiming movements. Q J Exp Psychol 33A:87–93.Google Scholar
  4. Carlton LG (1992) Visual processing time and the control of movement. In: Proteau L, Elliott D (eds) Vision and motor control. North-Holland, Amsterdam, pp 3–31Google Scholar
  5. Carlton LG (1994) The effects of temporal precision and time-minimization constraints on the spatial and temporal accuracy of aimed hand movements. J Motor Behav 26(1)Google Scholar
  6. Carrasco M, Williams PE, Yeshurun Y (2002) Covert attention increases spatial resolution with or without masks: support for signal enhancement. J Vis 2: 467–479PubMedGoogle Scholar
  7. Chua R, Elliott D (1993) Visual regulation of manual aiming. Hum Movement Sci 12:365–401CrossRefGoogle Scholar
  8. Crossman ER, Goodeve PJ (1983) Feedback control of hand-movement and Fitts’ law. Q J Exp Psychol A 35 Pt 2:251–278Google Scholar
  9. Danckert J, Goodale,MA (2001) Superior performance for visually guided pointing in the lower visual field. Exp Brain Res 137:303–308CrossRefPubMedGoogle Scholar
  10. Elliott D, Binsted G, Heath M (1999) The control of goal-directed limb movements: correcting errors in the trajectory. Hum Movement Sci 18:121–136CrossRefGoogle Scholar
  11. Fitts PM (1954) The information capacity of the human motor system in controlling the amplitude of movement. J Exp Psychol 48:303–312PubMedGoogle Scholar
  12. Galletti C, Fattori P, Gamberini M, Kutz DF (1999) The cortical visual area V6: brain location and visual topography. Eur J Neurosci 11:3922–3936CrossRefPubMedGoogle Scholar
  13. Gan KC, Hoffmann ER (1988) Geometrical conditions for ballistic and visually controlled movements. Ergonomics 31:829–839PubMedGoogle Scholar
  14. Glover S (2002) Visual illusions affect planning but not control. Trends Cogn Sci 6:288–292CrossRefPubMedGoogle Scholar
  15. Goodale MA, Danckert J (to be published) Ups and downs in the visual control of action. In: Johnson-Frey SH (ed) Taking action: cognitive neuroscience perspectives on intentional actions. MIT Press, Cambridge MA, pp 29–64Google Scholar
  16. Goodale MA, Humphrey GK (1998) The objects of action and perception. Cognition 67:181–207CrossRefPubMedGoogle Scholar
  17. Goodale MA, Milner D (1992) Separate visual pathways for perception and action. Trends Neurosci 15:20–35CrossRefPubMedGoogle Scholar
  18. Heath M, Rival C, Binsted G (2004a) Can the motor system resolve a premovement bias in grip aperture? Online analysis of grasping the Müller-Lyer illusion. Exp Brain Res 158:378–384CrossRefPubMedGoogle Scholar
  19. Heath M, Westwood DA, Binsted G (2004b) The control of memory-guided reaching movements in peripersonal space. Motor Control 8:76–106PubMedGoogle Scholar
  20. Henry FM, Rogers DE (1960) Increased response latency for complicated movements and a “memory drum” theory of neuromotor reaction. Res Quart 31:448–458Google Scholar
  21. Maunsell JH, Van Essen DC (1987) Topographic organization of the middle temporal visual area in the macaque monkey: representational biases and the relationship to callosal connections and myeloarchitectonic boundaries. J Comp Neurol 266:535–555PubMedGoogle Scholar
  22. Meyer DE, Abrams RA, Kornblum S, Wright CE, Smith JEK (1988) Optimality in human motor performance: Ideal control of rapid aimed movements. Psychol Rev 95:340–370CrossRefPubMedGoogle Scholar
  23. Milner AD, Goodale MA (1995) The visual brain in action. Oxford University Press, OxfordGoogle Scholar
  24. Niebauer CL, Christman SD (1998) Upper and lower visual field differences in categorical and coordinate judgments. Psychon B Rev 5:147–151Google Scholar
  25. Plamondon R (1995) A kinematic theory of rapid human movements. Part 1. Movement representation and generation. Biol Cybern 72:295–307CrossRefPubMedGoogle Scholar
  26. Previc FH (1990) Functional specialization in the lower and upper visual fields in humans: its ecological origins and neurophysiological implications. Behav Brain Sci 13:519–575Google Scholar
  27. Previc FH (1996) Attentional and oculomotor influences on visual field anisotropies in visual search performance. Vis Cogn 3:277–301Google Scholar
  28. Shannon CE (1948) A mathematical theory of communication. Bell Systems Technical J 27:379–423 and 623–656Google Scholar
  29. Shannon CE, Weaver W (1949) The mathematical theory of communication. University of Illinois Press, Champaign, ILGoogle Scholar
  30. Talgar CP, Carrasco M (2002) Vertical meridian asymmetry in spatial resolution: visual and attentional factors. Psychon B Rev 9:714–722.Google Scholar
  31. Welford AT (1960) The measurement of sensory-motor performance: survey and reappraisal of twelve years’ progress. Ergonomics 3:189–230Google Scholar
  32. Westwood DA, Goodale MA (2003) Perceptual illusion and the real-time control of action. Spat Vis 16:243–254CrossRefPubMedGoogle Scholar
  33. Woodworth RS (1899) The accuracy of voluntary movement. Psychol Rev 3 (Monograph Supplement):1–119Google Scholar
  34. Young LR, Sheena D (1975) Methods and designs—survey of eye movement recording methods. Behav Res Methods Instrum 7:397–429Google Scholar

Copyright information

© Springer-Verlag 2004

Authors and Affiliations

  1. 1.College of KinesiologyUniversity of SaskatchewanSaskatoonCanada
  2. 2.Department of Kinesiology and Program In Neural ScienceIndiana UniversityBloomingtonUSA

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