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A lower visual field advantage for endpoint stability but no advantage for online movement precision

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Abstract

It has been proposed that visually guided reaching movements performed in the lower visual field (LVF) of peripersonal space are more effective and efficient than their upper visual field (UVF) counterparts (Danckert and Goodale 2001). In the present investigation we sought to determine whether this purported visual field asymmetry reflects advantaged processing of online visual feedback. To accomplish that objective, participants performed discrete reaching movements to each of three target locations in the LVF and UVF. In addition, reaches were completed under conditions wherein target location remained constant throughout a reaching response (i.e., control trials) and a separate condition wherein target location unexpectedly perturbed at movement onset (i.e., experimental trials). We reasoned that the target perturbation paradigm would provide a novel means to assess a possible superior–inferior visual field asymmetry for online reaching control. In terms of the impact of a target perturbation, both visual fields demonstrated equal proficiency integrating visual feedback for online limb adjustments. Interestingly, however, the spatial distribution of movement endpoints in the LVF was less than UVF counterparts (cf. Binsted and Heath 2005). Taken together, the present findings suggest that although LVF and UVF reaches readily use visual feedback to accommodate an unexpected target perturbation, reaches in the LVF elicit advantaged spatial benefits influencing the effectiveness of online limb corrections.

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Notes

  1. Interestingly, Dichtl et al. (1999) reported that retinal nerve fiber thickness is greater at the inferior disc border than the superior disc border.

  2. Danckert and Goodale (2001) report a LVF endpoint accuracy advantage for target “lengths” of 3.7, 7.5, 14.9 and 30.0 mm. A target “length” of 1.9 mm, however, did not produce a visual field asymmetry.

  3. Research employing the double-step paradigm has shown that online movement corrections occur involuntarily (Goodale et al. 1986) via an ‘automatic pilot’ (Pisella et al. 2000) operating without awareness from the participant. It is important to note that the target perturbation used in the present investigation was explicit (e.g., Heath et al. 1998) and participants were aware of the need for online limb adjustments.

  4. Previous research has shown that the proportion of endpoint variance explained by the spatial position of the limb at peak acceleration does not provide sufficient predictive power to explain unfolding reaching kinematics (see Heath 2005; Heath et al. 2004). Hence, in the present research R2 values for movement endpoints were restricted to the spatial location of the limb at peak velocity and peak deceleration.

  5. Endpoint variability for trials involving a perturbation was greater than for trials involving a stationary target position. As stated elsewhere, increased endpoint variability is thought to represent inherent neuromuscular instability in the evocation of online limb adjustments (e.g., Khan et al. 2002).

  6. Danckert and Goodale (2001) did not report endpoint variability (2001).

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Correspondence to Matthew Heath.

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Krigolson, O., Heath, M. A lower visual field advantage for endpoint stability but no advantage for online movement precision. Exp Brain Res 170, 127–135 (2006). https://doi.org/10.1007/s00221-006-0386-x

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