Manuo-ocular coordination in target tracking. I. A model simulating human performance

Lazzari, S.; Vercher, Jean-Louis; Buizza, A.

doi:10.1007/s004220050386

Cited by 39 publications

(27 citation statements)

References 39 publications

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“…1). However, cross-links exist between the oculomotor and forelimb control systems (e.g., Engel and Soechting 2003;Ilg and Schumann 2007;Lazzari et al 1997; see also Kruse et al 2002) and the present results suggest that the dynamic visuomotor gain control proposed for the former is also employed for the latter.…”

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confidence: 60%

Adaptations of lateral hand movements to early and late visual occlusion in catching

et al. 2008

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Recent studies suggested that the control of hand movements in catching involves continuous visionbased adjustments. More insight into these adjustments may be gained by examining the effects of occluding different parts of the ball trajectory. Here, we examined the effects of such occlusion on lateral hand movements when catching balls approaching from different directions, with the occlusion conditions presented in blocks or in randomized order. The analyses showed that late occlusion only had an effect during the blocked presentation, and early occlusion only during the randomized presentation. During the randomized presentation movement biases were more leftward if the preceding trial was an early occlusion trial. The effect of early occlusion during the randomized presentation suggests that the observed leftward movement bias relates to the rightward visual acceleration inherent to the ball trajectories used, while its absence during the blocked presentation seems to reflect trial-by-trial adaptations in the visuomotor gain, reminiscent of dynamic gain control in the smooth pursuit system. The movement biases during the late occlusion block were interpreted in terms of an incomplete motion extrapolation-a reduction of the velocity gaincaused by the fact that participants never saw the to-beextrapolated part of the ball trajectory. These results underscore that continuous movement adjustments for catching do not only depend on visual information, but also on visuomotor adaptations based on non-visual information.

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confidence: 60%

Adaptations of lateral hand movements to early and late visual occlusion in catching

et al. 2008

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“…Since the patients without proprioception had a smaller pursuit gain than the control subjects, it was argued that the motor command plays a major role in triggering the smooth pursuit, synchronizing the eye with the hand, whereas proprioception might be involved in enhancing the on-going pursuit of self-motion (Vercher and Gauthier 1992;Vercher et al 1996). This idea was also supported by model simulations (Lazzari et al 1997).…”

Section: Humans Often Have To Track Motion That Is Generated By Themsmentioning

confidence: 85%

LRP predicts smooth pursuit eye movement onset during the ocular tracking of self-generated movements

Chen

Valsecchi

Gegenfurtner

2016

Journal of Neurophysiology

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Chen J, Valsecchi M, Gegenfurtner KR. LRP predicts smooth pursuit eye movement onset during the ocular tracking of selfgenerated movements. J Neurophysiol 116: 18 -29, 2016. First published March 23, 2016 doi:10.1152/jn.00184.2016.-Several studies have indicated that human observers are very efficient at tracking self-generated hand movements with their gaze, yet it is not clear whether this is simply a by-product of the predictability of selfgenerated actions or if it results from a deeper coupling of the somatomotor and oculomotor systems. In a first behavioral experiment we compared pursuit performance as observers either followed their own finger or tracked a dot whose motion was externally generated but mimicked their finger motion. We found that even when the dot motion was completely predictable in terms of both onset time and kinematics, pursuit was not identical to that produced as the observers tracked their finger, as evidenced by increased rate of catch-up saccades and by the fact that in the initial phase of the movement gaze was lagging behind the dot, whereas it was ahead of the finger. In a second experiment we recorded EEG in the attempt to find a direct link between the finger motor preparation, indexed by the lateralized readiness potential (LRP) and the latency of smooth pursuit. After taking into account finger movement onset variability, we observed larger LRP amplitudes associated with earlier smooth pursuit onset across trials. The same held across subjects, where average LRP onset correlated with average eye latency. The evidence from both experiments concurs to indicate that a strong coupling exists between the motor systems leading to eye and finger movements and that simple top-down predictive signals are unlikely to support optimal coordination. anticipatory smooth pursuit; ocular tracking of self-motion; eye-hand coordination; lateralized readiness potential

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“…To account for these observations, a model has been proposed in which ocular and manual responses are controlled by completely independent sensorimotor systems, and performance improvement during combined tracking would result from an interchange of nonvisual signals between separate controllers (Gauthier et al, 1988;Lazzari et al, 1997;Scarchilli and Vercher, 1999). A place at which such exchange of information could occur is the cerebellum, where oculomotor signals would be used to exert a predictive control of manual tracking (Miall and Reckess, 2002).…”

Section: Mep Modulation During Sp Unveils a Motor Plan For Manual Tramentioning

confidence: 99%

“…The reverse is also true, as manual tracking performance is more precise if eye and hand follow the same spatial trajectory, than when tracking is made by the hand alone (Miall and Reckess, 2002). To account for these findings, a mutual coupling between eye and hand motor control systems has been proposed, in which a performance improvement results from an exchange of nonvisual signals between separate controls (Gauthier et al, 1988;Lazzari et al, 1997;Scarchilli and Vercher, 1999).…”

Section: Introductionmentioning

confidence: 99%

Pursuit Eye Movements Involve a Covert Motor Plan for Manual Tracking

Maioli¹,

Falciati²,

Gianesini³

2007

J. Neurosci.

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When we make an aiming movement toward a moving visual object, eye-hand coupling is of paramount importance for accurate motor performance. Some studies have suggested that both gaze and manual tracking control systems are driven by a common command signal. However, it has never been demonstrated that a motor plan for the arm is produced even when the object is tracked by the eyes alone. By applying transcranial magnetic stimulation to the motor cortex, we show for the first time that ocular tracking is linked to an overall decrease in the excitability of the motor control system of the relaxed upper limb, as estimated from the amplitude of the motor evoked potentials recorded in contralateral hand and wrist muscles. Furthermore, this reduced excitability is modulated in a manner compatible with a subthreshold neural activation encoding a manual tracking response to the same target pursued by the eyes. In addition, excitability changes are contingent on upper-limb posture, because they are present only with a pronated forearm and not with a supinated hand position. We provide direct evidence that, if the arm is held in a congruent postural configuration, tracking a moving object always entails a coordinated motor plan, which involves both gaze and hand movements. Active inhibitory mechanisms are activated to prevent an overt arm movement, whenever a manual tracking is not requested. Our data provide strong evidence in favor of the existence of a common drive to both eye and hand tracking systems.

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Manuo-ocular coordination in target tracking. I. A model simulating human performance

Cited by 39 publications

References 39 publications

Adaptations of lateral hand movements to early and late visual occlusion in catching

Adaptations of lateral hand movements to early and late visual occlusion in catching

LRP predicts smooth pursuit eye movement onset during the ocular tracking of self-generated movements

Pursuit Eye Movements Involve a Covert Motor Plan for Manual Tracking

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