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Effects of object shape and visual feedback on hand configuration during grasping

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Abstract

Normal subjects gradually preshape their hands during a grasping movement in order to conform the hand to the shape of a target object. The evolution of hand preshaping may depend on visual feedback about arm and hand position as well as on target shape and location at specific times during the movement. The present study manipulated object shape in order to produce differentiable patterns of finger placement along two orthogonal "dimensions" (flexion/extension and abduction/adduction), and manipulated the amount of available visual information during a grasp. Normal subjects were asked to reach to and grasp a set of objects presented in a randomized fashion at a fixed spatial location in three visual feedback conditions: Full Vision (both hand and target visible), Object Vision (only the object was visible but not the hand) and No Vision (vision of neither the hand nor the object during the movement). Flexion/extension angles of the metacarpophalangeal and proximal interphalangeal joints of the index, ring, middle and pinkie fingers as well as the abduction/adduction angles between the index-middle and middle-ring fingers were recorded. Kinematic analysis revealed that as visual feedback was reduced, movement duration increased and time to peak aperture of the hand decreased, in accord with previously reported studies. Analysis of the patterns of joint flexion/extension and abduction/adduction per object shape revealed that preshaping based on the abduction/adduction dimension occurred early during the reach for all visual feedback conditions (~45% of normalized movement time). This early preshaping across visual feedback conditions suggests the existence of mechanisms involved in the selection of basic hand configurations. Furthermore, while configuration changes in the flexion/extension dimension resulting in well-defined hand configurations occurred earlier during the movement in the Object Vision and No Vision conditions (45%), those in the Full Vision condition were observed only after 75% of the movement, as the moving hand entered the central region of the visual field. The data indicate that there are at least two control mechanisms at work during hand preshaping, an early predictive phase during which grip selection is attained regardless of availability of visual feedback and a late responsive phase during which subjects may use visual feedback to optimize their grasp.

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References

  • Berthier NE, Clifton RK, Gullapalli V, McCall DD, Robin DJ (1996) Visual information and object size in the control of reaching. J Motor Behav 28:187–197

    Google Scholar 

  • Carlton LG (1981) Processing visual feedback information for movement control. J Exp Psychol Hum Percept Perform 7:1019–1030

    Article  CAS  PubMed  Google Scholar 

  • Castiello U, Bonfiglioli C, Bennett M (1996) How perceived object dimension influences prehension. Neuroreport 7:825–829

    CAS  PubMed  Google Scholar 

  • Chieffi S, Gentilucci M (1993) Coordination between the transport and the grasp components during prehension movements. Exp Brain Res 94:471–477

    CAS  PubMed  Google Scholar 

  • Churchill A, Hopkins B, Ronnqvuist L, Vogt S (2000) Vision of the hand and environmental context in human prehension. Exp Brain Res 134:81–89

    CAS  PubMed  Google Scholar 

  • Connolly JD, Goodale MA (1999) The role of visual feedback of hand position in the control of manual prehension. Exp Brain Res 125:281–386

    CAS  PubMed  Google Scholar 

  • Desmurget M, Grafton S (2000) Forward modeling allows feedback control for fast reaching movements. Trends Cogn Sci 4:423–431

    PubMed  Google Scholar 

  • Galea MP, Castiello U, Dalwood N (2001) Thumb invariance during prehension movement: effects of object orientation. Neuroreport 12:2185–2187

    CAS  PubMed  Google Scholar 

  • Gardner E, Ro JY, Debowy D, Ghosh S (1999) Facilitation of neuronal activity in somatosensory and posterior parietal cortex during prehension. Exp Brain Res 127:329–354

    CAS  PubMed  Google Scholar 

  • Gentilucci M, Jeannerod M, Tadary B, Decety J (1994) Dissociating visual and kinesthetic coordinates during pointing movements. Exp Brain Res 102:359–366

    CAS  PubMed  Google Scholar 

  • Jackson SR, Jackson GM, Harrison J, Henderson L, Kennard C (1995) The internal control of action and Parkinson's disease: a kinematic analysis of visually-guided and memory-guided prehension movements. Exp Brain Res 105:147–162

    CAS  PubMed  Google Scholar 

  • Jakobson LS, Goodale MA (1993) Coordination between the transport and the grasp components during prehension movements. Exp Brain Res 86:199–208

    Google Scholar 

  • Jeannerod M (1981) Intersegmental coordination during reaching at natural visual objects. In: Long J, Baddeley A (eds) Attention and performance XI. Erlbaum, Hillsdale, NJ

  • Jeannerod M (1984) The timing of a natural prehension movement. J Motor Behav 26:235–254

    Google Scholar 

  • Jeannerod M (1997) The cognitive neuroscience of action. Blackwell, Cambridge, MA

  • Jeannerod M, Arbib M, Rizzolatti G, Sakata H (1995) Grasping objects: the cortical mechanisms of visuomotor transformation. Trends Neurosci 18:314–320

    CAS  PubMed  Google Scholar 

  • Kothari A, Poizner H, Figel T (1992) Interactive three-dimensional graphic analysis for studies of neural disorders of movement. SPIE Visual Data Interpretation 1668:82–92

    Google Scholar 

  • Kuhtz-Buschbeck J, Stolze H, Johnk K, Boczek-Funcke A, Illert M (1998) Development of prehension movements in children: a kinematic study. Exp Brain Res 122:181–187

    Article  Google Scholar 

  • Luppino G, Murata A, Govoni P, Matelli P (1999) Largely segregated parietofrontal connections linking rostral intraparietal cortex (areas AIP and VIP) and the ventral premotor cortex (areas F5 and F4). Exp Brain Res 128:181–187

    CAS  PubMed  Google Scholar 

  • Mahalanobis PC (1936) On the generalised distance in statistics. Proc Indian Natl Inst Sci 2:49–55

    Google Scholar 

  • Marzke M, Marzke R (2000) Evolution of the human hand: approaches to acquiring, analysing and interpreting the anatomical evidence. J Anat 197:121–140

    Article  PubMed  Google Scholar 

  • Poizner H, Wooten E, Salot D (1986) Computerographic modeling and analysis: a portable system for tracking arm movements in three-dimensional space. Behav Res Methods Instr Comput 18:427–433

    Google Scholar 

  • Poizner H, Mack L, Verfaellie M, Rothi LJG, Heilman KM (1990) Three-dimensional computerographic analysis of apraxia. Brain 113:85–101

    PubMed  Google Scholar 

  • Rizzolatti G, Camarda R, Fogassi L, Gentilucci M, Luppino G, Matelli P (1988) Functional organization of inferior area 6 in the macaque monkey. II Area F5 and the control of distal movements. Exp Brain Res 71:491–507

    CAS  PubMed  Google Scholar 

  • Santello M, Soechting JF (1998) Gradual molding of the hand to object contours. J Neurophysiol 79:1307–1320

    CAS  PubMed  Google Scholar 

  • Santello M, Flanders M, Soechting JF (2002) Patterns of hand motion during grasping and the influence of sensory guidance. J Neurosci 22:1426–1435

    CAS  PubMed  Google Scholar 

  • Schettino LF, Adamovich SV, Poizner H (2000) The role of visual feedback in the determination of hand configuration during grasping. Paper presented at the Society for Neuroscience 26th Meeting, New Orleans, LA

  • Shikata E, Tanaka Y, Nakamura H, Taira M, Sakata H (1996) Selectivity of the parietal visual neurones in 3D orientation of surface of stereoscopic stimuli. Neuroreport 7:2389–2394

    CAS  PubMed  Google Scholar 

  • Sivak B, Mackenzie CL (1992) The contributions of peripheral vision and central vision to prehension. In: Proteau L, Elliott D (eds) Vision and motor control. Elsevier Science, Amsterdam

  • Ungerleider L, Mishkin M (1982) Two cortical visual systems. In: Ingle DJ, Goodale MA, Mansfield RJW (eds) Analysis of visual behavior. MIT Press, Cambridge, pp 549–586

  • Wing A, Fraser C (1983) The contribution of the thumb to reaching movements. Q J Exp Psychol 35A:297–309

    Google Scholar 

  • Wing A, Turton A, Fraser C (1986) Grasp size and accuracy of approach in reaching. J Motor Behav 18:245–260

    Google Scholar 

  • Zeki S (1993) A vision of the brain. Blackwell, Oxford

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Acknowledgements.

The research was supported in part by Research Grant 1 R01 NS36449-04 from the National Institute of Neurological Disorders and Stroke, National Institutes of Health, to Rutgers University. The authors would like to thank Drs. J. Soechting and M. Santello for providing them with the blueprints of the object shapes employed in this study.

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Correspondence to Howard Poizner.

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Schettino, L.F., Adamovich, S.V. & Poizner, H. Effects of object shape and visual feedback on hand configuration during grasping. Exp Brain Res 151, 158–166 (2003). https://doi.org/10.1007/s00221-003-1435-3

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