An ‘automatic pilot’ for the hand in human posterior parietal cortex: toward reinterpreting optic ataxia

Pisella, Laure; Gréa, Hélène; Tilikete, Caroline; Vighetto, Alain; Desmurget, Michel; Rode, Gilles; Boisson, Dominique; Rossetti, Yves

doi:10.1038/76694

Cited by 639 publications

(469 citation statements)

References 38 publications

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“…Strikingly, when a single transcranial magnetic stimulation pulse was applied, at hand movement onset, over the PPC, these path corrections were disrupted, and the subject pointed to the first target location. This result was recently replicated in a clinical study involving a patient presenting with bilateral ischemic lesions of the PPC (Pisella et al, 2000). Although this patient was able to accurately point to stationary targets, she presented a dramatic inability to correct her ongoing movements when the target location was slightly modified at movement onset.…”

Section: Functional Anatomy Of Movement Guidancesupporting

confidence: 53%

Functional Anatomy of Nonvisual Feedback Loops during Reaching: A Positron Emission Tomography Study

et al. 2001

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Reaching movements performed without vision of the moving limb are continuously monitored, during their execution, by feedback loops (designated nonvisual). In this study, we investigated the functional anatomy of these nonvisual loops using positron emission tomography (PET). Seven subjects had to "look at" (eye) or "look and point to" (eye-arm) visual targets whose location either remained stationary or changed undetectably during the ocular saccade (when vision is suppressed). Slightly changing the target location during gaze shift causes an increase in the amount of correction to be generated. Functional anatomy of nonvisual feedback loops was identified by comparing the reaching condition involving large corrections (jump) with the reaching condition involving small corrections (stationary), after subtracting the activations associated with saccadic movements and hand movement planning [(eye-armjumping minus eye-jumping) minus (eye-arm-stationary minus eye-stationary)]. Behavioral data confirmed that the subjects were both accurate at reaching to the stationary targets and able to update their movement smoothly and early in response to the target jump. PET difference images showed that these corrections were mediated by a restricted network involving the left posterior parietal cortex, the right anterior intermediate cerebellum, and the left primary motor cortex. These results are consistent with our knowledge of the functional properties of these areas and more generally with models emphasizing parietal-cerebellar circuits for processing a dynamic motor error signal.

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Section: Functional Anatomy Of Movement Guidancesupporting

confidence: 53%

Functional Anatomy of Nonvisual Feedback Loops during Reaching: A Positron Emission Tomography Study

et al. 2001

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“…Previous functional imaging studies (Imamizu et al 2003(Imamizu et al , 2004 also supported the MOSAIC model and suggested that a prefrontal region (Brodmann area 46) contributes to the predictor while loops between the parietal regions (Pisella et al 2000) and the cerebellum contribute to the estimator. The current behavioral study in the context of previous computational (Wolpert et al 1995;Wolpert and Kawato 1998;Kawato 1999) and imaging studies (Imamizu et al 2004) suggests that, to achieve adaptation to multiple environments, a predictive mechanism, possibly located in the frontal cortex, needs to switch multiple internal models residing in the cerebellum.…”

Section: Discussionmentioning

confidence: 67%

Explicit contextual information selectively contributes to predictive switching of internal models

Imamizu¹,

Sugimoto²,

Osu

et al. 2007

Exp Brain Res

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Many evidences suggest that the central nervous system (CNS) acquires and switches internal models for adaptive control in various environments. However, little is known about the neural mechanisms responsible for the switching. A recent computational model for simultaneous learning and switching of internal models proposes two separate switching mechanisms: a predictive mechanism purely based on contextual information and a postdictive mechanism based on the difference between actual and predicted sensorimotor feedbacks. This model can switch internal models solely based on contextual information in a predictive fashion immediately after alteration of the environment. Here we show that when subjects simultaneously adapted to alternating blocks of opposing visuomotor rotations, explicit contextual information about the rotations improved the initial performance at block alternations and asymptotic levels of performance within each block but not readaptation speeds. Our simulations using separate switching mechanisms duplicated these effects of contextual information on subject performance and suggest that improvement of initial performance was caused by improved accuracy of the predictive switch while adaptation speed corresponds to a switch dependent on sensorimotor feedback. Simulations also suggested that a slow change in output signals from the switching mechanisms causes contamination of motor commands from an internal model used in the previous context (anterograde interference) and partial destruction of internal models (retrograde interference). Explicit contextual information prevents destruction and assists memory retention by improving the changes in output signals. Thus, the asymptotic levels of performance improved.

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“…Desmurget and colleagues have provided a tool to determine behaviorally whether the dorsal stream is critically involved in specific aspects of a task (Desmurget et al, 1999;Pisella et al, 2000). Using transcranial magnetic stimulation and a patient study, they showed that part of the dorsal route (the posterior parietal cortex) is necessary for fast (less than 150-ms latency) corrections of ongoing pointing movements to perturbations of object locations.…”

mentioning

confidence: 99%

10 years of illusions.

Smeets

Brenner

2006

Journal of Experimental Psychology: Human Perception and Perfor

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A decade ago, S. Aglioti, J. F. X. DeSouza, and M. A. Goodale (1995) published an experiment that has had a big influence on the way that visual information is thought to control human behavior. Their findings have often been simplified as suggesting that action is immune to perceptual illusions. The current authors critically analyze the 4 steps involved in this simplification and argue that research during the last 10 years has shown that the validity of 3 of the 4 steps is doubtful. They conclude that this experiment cannot be regarded as firm support for the 2-visual-systems hypothesis (i.e., that the ventral stream is for perception and the dorsal stream is for visually guided actions).

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An ‘automatic pilot’ for the hand in human posterior parietal cortex: toward reinterpreting optic ataxia

Cited by 639 publications

References 38 publications

Functional Anatomy of Nonvisual Feedback Loops during Reaching: A Positron Emission Tomography Study

Functional Anatomy of Nonvisual Feedback Loops during Reaching: A Positron Emission Tomography Study

Explicit contextual information selectively contributes to predictive switching of internal models

10 years of illusions.

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