Abstract
Our previous study (Hum Mov Sci 25:349–371, 2006) investigated whether and how online vision in the early phase of movement influences the control of reach-to-grasp movements (movement duration: approximately 1000 ms). We used liquid-crystal shutter goggles to manipulate the duration of available online vision during the movement and specified that online vision during the early phase influences grasping movements. The current study examined the effect of online early phase vision on the grip configuration according to the movement duration and compared it between two different movement durations (approximately 500 and 1000 ms). We found that non-availability of early phase online vision affected the grip configuration (i.e., inducing a larger peak grip aperture) even in the shorter movement duration. The influential period for online vision for grasping control shifts to an earlier time when movement time is shorter (i.e., from approximately 214 to 106 ms after movement onset), indicating a flexible mechanism for grip configuration according to the movement duration and the available online vision.
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Notes
When we mention the condition, the term “movement time” is used. Otherwise, the term “movement duration” is used in more general context.
The current experiment had a 150S condition for both MT500 and MT1000 sessions. We designated the MT500 session as 150S-5 and the MT1000 session as 150S-10.
References
Alberts JL, Saling M, Stelmach GE (2002) Alterations in transport path differentially affect temporal and spatial movement parameters. Exp Brain Res 143:417–425
Berthier NE, Clifton RK, Gullapalli V, McCall DD, Robin DJ (1996) Visual information and object size in the control of reaching. J Mot Behav 28:187–197
Bootsma RJ, Marteniuk RG, MacKenzie CL, Zaal FT (1994) The speed-accuracy trade-off in manual prehension: effects of movement amplitude, object size and object width on kinematic characteristics. Exp Brain Res 98:535–541
Bradshaw MF, Elliott KM (2003) The role of binocular information in the ‘on-line’ control of prehension. Spat Vis 16:295–309
Brockmole JR, Davoli CC, Abrams RA, Witt JK (2013) The world within reach: effects of hand posture and tool use on visual cognition. Curr Dir Psychol Sci 22:38–44
Castiello U, Begliomini C (2008) The cortical control of visually guided grasping. Neuroscientist 14:157–170
Chapman CS, Goodale MA (2008) Missing in action: the effect of obstacle position and size on avoidance while reaching. Exp Brain Res 191:83–97
Chapman CS, Goodale MA (2010) Seeing all the obstacles in your way: the effect of visual feedback and visual feedback schedule on obstacle avoidance while reaching. Exp Brain Res 202:363–375
Chapman CS, Gallivan JP, Culham JC, Goodale MA (2011) Mental blocks: fMRI reveals top-down modulation of early visual cortex when obstacles interfere with grasp planning. Neuropsychologia 49:1703–1717
Churchill A, Hopkins B, Ronnqvist L, Vogt S (2000) Vision of the hand and environmental context in human prehension. Exp Brain Res 134:81–89
Connolly JD, Goodale MA (1999) The role of visual feedback of hand position in the control of manual prehension. Exp Brain Res 125:281–286
Desmurget M, Rossetti Y, Prablanc C, Stelmach GE, Jeannerod M (1995) Representation of hand position prior to movement and motor variability. Can J Physiol Pharmacol 73:262–272
Elliott D, Hansen S, Grierson LE, Lyons J, Bennett SJ, Hayes SJ (2010) Goal-directed aiming: two components but multiple processes. Psychol Bull 136:1023–1044
Filimon F (2010) Human cortical control of hand movements: parietofrontal networks for reaching, grasping, and pointing. Neuroscientist 16:388–407
Fukui T, Inui T (2006) The effect of viewing the moving limb and target object during the early phase of movement on the online control of grasping. Hum Mov Sci 25:349–371
Fukui T, Inui T (2013) Utilization of visual feedback of the hand according to target view availability in the online control of prehension movements. Hum Mov Sci 32:580–595
Gaveau V, Pisella L, Priot AE, Fukui T, Rossetti Y, Pélisson D, Prablanc C (2014) Automatic online control of motor adjustments in reaching and grasping. Neuropsychologia 55:25–40
Gentilucci M, Toni I, Chieffi S, Pavesi G (1994) The role of proprioception in the control of prehension movements: a kinematic study in a peripherally deafferented patient and in normal subjects. Exp Brain Res 99:483–500
Georgopoulos AP, Kalaska JF, Massey JT (1981) Spatial trajectories and reaction times of aimed movements: effects of practice, uncertainty, and change in target location. J Neurophysiol 46:725–743
Grafton ST (2010) The cognitive neuroscience of prehension: recent developments. Exp Brain Res 204:475–491
Heath M, Rival C, Binsted G (2004) Can the motor system resolve a premovement bias in grip aperture? Online analysis of grasping the Muller–Lyer illusion. Exp Brain Res 158:378–384
Hesse C, Franz VH (2009) Corrective processes in grasping after perturbations of object size. J Mot Behav 41:253–273
Jakobson LS, Goodale MA (1991) Factors affecting higher-order movement planning: a kinematic analysis of human prehension. Exp Brain Res 86:199–208
Jeannerod M (1981) Intersegmental coordination during reaching at natural visual objects. In: Long J, Baddley A (eds) Attention and performance IX. Erlbraum, Hillsdale, pp 153–169
Jeannerod M (1984) The timing of natural prehension movements. J Mot Behav 16:235–254
Jeannerod M, Marteniuk RG (1992) Functional characteristics of prehension: From data to artificial neural networks. In: Proteau L, Elliott D (eds) Vision and motor control. Elsevier Science, Amsterdam, pp 197–232
Komilis E, Pélisson D, Prablanc C (1993) Error processing in pointing at randomly feedback-induced double-step stimuli. J Mot Behav 25:299–308
Kudoh N, Hattori M, Numata N, Maruyama K (1997) An analysis of spatiotemporal variability during prehension movements: effects of object size and distance. Exp Brain Res 117:457–464
Mon-Williams M, Tresilian JR, Coppard VL, Carson RG (2001) The effect of obstacle position on reach-to-grasp movements. Exp Brain Res 137:497–501
Paulignan Y, Jeannerod M, MacKenzie C, Marteniuk R (1991) Selective perturbation of visual input during prehension movements. 2. The effects of changing object size. Exp Brain Res 87:407–420
Prablanc C, Echallier JF, Komilis E, Jeannerod M (1979) Optimal response of eye and hand motor systems in pointing at a visual target II. Static and dynamic visual cues in the control of hand movements. Biol Cybern 35:183–187
Prablanc C, Desmurget M, Gréa H (2003) Neural control of on-line guidance of hand reaching movements. Prog Brain Res 142:155–170
Rand MK, Squire LM, Stelmach GE (2006) Effect of speed manipulation on the control of aperture closure during reach-to-grasp movements. Exp Brain Res 174:74–85
Rand MK, Lemay M, Squire LM, Shimansky YP, Stelmach GE (2007) Role of vision in aperture closure control during reach-to-grasp movements. Exp Brain Res 181:447–460
Rosenbaum DA, Chapman KM, Weigelt M, Weiss DJ, van der Wel R (2012) Cognition, action, and object manipulation. Psychol Bull 138:924–946
Rossetti Y, Stelmach GE, Desmurget M, Prablanc C, Jeannerod M (1994) Influence of viewing the static hand prior to movement onset on pointing kinematics and accuracy. Exp Brain Res 101:323–330
Ryan TH (1960) Significance tests for multiple comparison of proportions, variances, and other statistics. Psychol Bull 57:318–328
Sarlegna FR, Mutha PK (2015) The influence of visual target information on the online control of movements. Vision Res 110:144–154
Sarlegna F, Blouin J, Bresciani J-P, Bourdin C, Vercher J-L, Gauthier GM (2003) Target and hand position information in the online control of goal-directed arm movements. Exp Brain Res 151:524–535
Saunders JA, Knill DC (2003) Humans use continuous visual feedback from the hand to control fast reaching movements. Exp Brain Res 152:341–352
Schettino LF, Adamovich SV, Poizner H (2003) Effects of object shape and visual feedback on hand configuration during grasping. Exp Brain Res 151:158–166
Sedda A, Monaco S, Bottini G, Goodale MA (2011) Integration of visual and auditory information for hand actions: preliminary evidence for the contribution of natural sounds to grasping. Exp Brain Res 209:365–374
Smeets JBJ, Brenner E (1999) A new view on grasping. Mot Control 3:237–271
Soechting JF, Lacquaniti F (1983) Modification of trajectory of a pointing movement in response to a change in target location. J Neurophysiol 49:548–564
Tresilian JR (1998) Attention in action or obstruction of movement? A kinematic analysis of avoidance behavior in prehension. Exp Brain Res 120:352–368
Tubaldi F, Ansuini C, Tirindelli R, Castiello U (2008) The grasping side of odours. PLoS One 3:e1795
Turella L, Lingnau A (2014) Neural correlates of grasping. Front Hum Neurosci 8:686
van de Kamp C, Bongers RM, Zaal FT (2009) Effects of changing object size during prehension. J Mot Behav 41:427–435
Wallace SA, Weeks DL (1988) Temporal constraints in the control of prehensile movement. J Mot Behav 20:81–105
Whitwell RL, Goodale MA (2009) Updating the programming of a precision grip is a function of recent history of available feedback. Exp Brain Res 194:619–629
Whitwell RL, Lambert LM, Goodale MA (2008) Grasping future events: explicit knowledge of the availability of visual feedback fails to reliably influence prehension. Exp Brain Res 188:603–611
Wing AM, Fraser C (1983) The contribution of the thumb to reaching movements. Q J Exp Psychol A 35:297–309
Wing AM, Turton A, Fraser C (1986) Grasp size and accuracy of approach in reaching. J Mot Behav 18:245–260
Winges SA, Weber DJ, Santello M (2003) The role of vision on hand preshaping during reach to grasp. Exp Brain Res 152:489–498
Woodworth RS (1899) The accuracy of voluntary movement. Psychol Rev Monogr 3:1–114
Zaal FT, Bootsma RJ (1993) Accuracy demands in natural prehension. Hum Mov Sci 12:339–345
Acknowledgments
The authors wish to thank Dr. Makoto Wada for a discussion of the data analysis. We also thank Dr. Claude Prablanc and anonymous reviewers for their constructive comments on the manuscript. This work was supported by a Grant-in-Aid for Scientific Research on Innovative Areas “Constructive Developmental Science” (25119503) from MEXT, Japan.
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Fukui, T., Inui, T. Use of early phase online vision for grip configuration is modulated according to movement duration in prehension. Exp Brain Res 233, 2257–2268 (2015). https://doi.org/10.1007/s00221-015-4295-8
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DOI: https://doi.org/10.1007/s00221-015-4295-8