Sensory-motor coordination during grasping and manipulative actions

Johansson, Roland S.; Cole, Kelly J.

doi:10.1016/0959-4388(92)90139-c

Cited by 362 publications

(165 citation statements)

References 41 publications

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“…It is easy to convince oneself that behavior conforms to this prediction, with (Goodale et al 1994) and without vision. It is also well established that during grip, the safety margin (the ratio between the grip force and the load force) is precisely regulated (Johansson 1998;Johansson and Cole 1992;Johansson and Westling 1988). This regulation involves feedback from cutaneous afferents (Birznieks et al 2001;.…”

Section: Introductionmentioning

confidence: 99%

Approaches to the Study of Haptic Sensing

Henriques¹,

Soechting²

2005

Journal of Neurophysiology

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Henriques, Denise Y. P. and John F. Soechting. Approaches to the study of haptic sensing. J Neurophysiol 93: 3036 -3043, 2005; doi:10.1152/jn.00010.2005. This review surveys results from a new approach to the problem of haptic sensing, in which subjects use primarily proximal arm movements to explore the shapes of virtual objects. These shapes are generated using a robotically controlled manipulandum. We begin by summarizing distortions of simple geometric properties (such as the length and orientation of lines) in the haptic perception of space. We then consider the extent to which the sense of more complex shapes (such as quadrilaterals) can be explained by these geometric distortions, i.e., the extent to which the shape of a complex object is synthesized from simpler constituent elements, and some of the sensory cues that may be important in this process. Haptic and visual processing of shapes appear to lead to some similar illusions. However, we argue that the processing of haptic information differs fundamentally from visual processing in that the former requires the integration of information that evolves in time as well as in space.

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Section: Introductionmentioning

confidence: 99%

Approaches to the Study of Haptic Sensing

Henriques¹,

Soechting²

2005

Journal of Neurophysiology

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“…These physical properties are stored as sensorimotor memories and are acquired during previous manipulatory experience (Johansson and Cole, 1992). However, in everyday life, object properties may be unpredictable because they can change without our knowledge.…”

Section: Introductionmentioning

confidence: 99%

Lighter or Heavier Than Predicted: Neural Correlates of Corrective Mechanisms during Erroneously Programmed Lifts

Jenmalm¹,

Schmitz²,

Forssberg³

et al. 2006

J. Neurosci.

100

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A central concept in neuroscience is that the CNS signals the sensory discrepancy between the predicted and actual sensory consequences of action. It has been proposed that the cerebellum and parietal cortex are involved in this process. A discrepancy will trigger preprogrammed corrective responses and update the engaged sensorimotor memories. Here we use functional magnetic resonance imaging with an event-related design to investigate the neuronal correlates of such discrepancies. Healthy adults repeatedly lifted an object between their right index fingers and thumbs, and on some lifting trials, the weight of the object was unpredictably changed between light (230 g) and heavy (830 g). Regardless of whether the weight was heavier or lighter than predicted, activity was found in the right inferior parietal cortex (supramarginal gyrus). This suggests that this region is involved in the comparison of the predicted and actual sensory input and the updating of the sensorimotor memories. When the object was lighter or heavier than predicted, two different types of preprogrammed force corrections occurred. There was a slow force increase when the weight of the object was heavier than predicted. This corrective response was associated with activity in the left primary motor and somatosensory cortices. The fast termination of the excessive force when the object was lighter than predicted activated the right cerebellum. These findings show how the parietal cortex, cerebellum, and motor cortex are involved in the signaling of the discrepancy between predicated and actual sensory feedback and the associated corrective mechanisms.

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“…More generally, vision of the object and the hand could affect the kinematics during the course of the movement . Furthermore, tactile cues available at the end of the movement can provide a powerful stimulus for the control of finger muscles (Johansson and Cole, 1992), and it is possible that subjects also take advantage of the hand's compliance in grasping an object (Hajian and Howe, 1997).…”

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confidence: 99%

Patterns of Hand Motion during Grasping and the Influence of Sensory Guidance

2002

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This study was aimed at describing temporal synergies of hand movement and determining the influence of sensory cues on the control of these synergies. Subjects were asked to reach to and grasp various objects under three experimental conditions: (1) memory-guided movements, in which the object was not in view during the movement; (2) virtual object, in which a virtual image of the object was in view but the object was not physically present; and (3) real object, in which the object was in view and physically present. Motion of the arm and of 15 degrees of freedom of the hand was recorded. A principal components analysis was developed to provide a concise description of the spatiotemporal patterns underlying the motion. Vision of the object during the reaching movement had no influence on the kinematics, and the effect of the physical presence of the object became manifest primarily after the fingers had contacted the object. Two principal components accounted for Ͼ75% of the variance. For both components, there was a strong positive correlation in the rotations of metacarpophalangeal and proximal interphalangeal joints of the fingers. The first principal component exhibited a pattern of finger extension reversing to flexion, whereas the second principal component became important only in the second half of the reaching movement.

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Sensory-motor coordination during grasping and manipulative actions

Cited by 362 publications

References 41 publications

Approaches to the Study of Haptic Sensing

Approaches to the Study of Haptic Sensing

Lighter or Heavier Than Predicted: Neural Correlates of Corrective Mechanisms during Erroneously Programmed Lifts

Patterns of Hand Motion during Grasping and the Influence of Sensory Guidance

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