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1Canadian Institutes of Health Research Group on Action and Perception, 2Centre for Vision Research and 3Departments of Psychology, 4Kinesiology and Health Science, and 5Biology, York University, Toronto, Canada
Submitted 18 April 2006; accepted in final form 18 September 2006
| ABSTRACT |
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| INTRODUCTION |
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Recent functional magnetic resonance imaging (fMRI) revealed a similar functional organization in PPC of humans that includes areas specialized for saccades (LIP) (Medendorp et al. 2003
, 2005
; Schluppeck et al. 2005
; Sereno et al. 2001
) and reaching (PRR) (Connolly et al. 2003
; DeSouza et al. 2000
; Medendorp et al. 2003
, 2005
) toward targets in the contralateral visual field. More recently, a similar region was identified when reaching toward central and peripheral visual targets (Prado et al. 2005
). Further evidence implicating the PPC in movement planning comes, in part, from examining deficits in patients with damaged cerebral cortex. For instance, lesions of PPC, centered on the pariet-ooccipital junction in humans (Karnath and Perenin 2005
), result in a specific deficit of visually guided behavior referred to as optic ataxia, characterized by visually guided errors to targets in the contralateral visual field that are not attributed to a solely motor or visual perturbation (Battaglia-Mayer and Caminiti 2002
; Jakobson et al. 1991
; Perenin and Vighetto 1988
; Rossetti et al. 2003
). In addition, both functional imaging and patient investigations have shown that the PPC contains a dynamic internal spatial representation that updates contralateral space in a gaze-centered frame of reference when the eyes rotate (Khan et al. 2005a
,b
; Medendorp et al. 2003
; Merriam et al. 2003
).
Nevertheless, functional neuroimaging techniques, such as fMRI, allow identification of the brain regions correlated with a given behavior only, whereas inferences from patient studies are limited by highly variable lesions and do not take into account the inherent compensatory plasticity of the brain after the insult. In contrast, transcranial magnetic stimulation provides a methodology for determining the causal inferences with respect to the relationship between neural processes in specified brain areas and normal behavior (Jahanshahi and Rothwell 2000
; Pascual-Leone et al. 1999
, 2000
; Robertson et al. 2003
; Walsh and Cowey 2000
). In particular, TMS studies in humans provide evidence for critical involvement of PPC in several areas of visuomotor control including the programming and execution of saccades (Elkington et al. 1992
; Kapoula et al. 2001
, 2004
, 2005
; Muri et al. 1996
, 2000
; Nyffeler et al. 2005
; Oyachi and Ohtsuka 1995
; Tzelepi et al. 2005
; Yang and Kapoula 2004
), eyehand interactions (van Donkelaar and Adams 2005
; van Donkelaar et al. 2000
), and the on-line control of reaching (Desmurget et al. 1999
) and grasping (Glover et al. 2005
; Tunik et al. 2005
).
However, few studies to date have used the disruptive effect of TMS to probe the functional relevance of the parietal cortex for spatial representation during a memory-guided pointing movement. Perhaps the only exception was that of Smyrnis et al. (2003)
, who showed that the application of single pulses of TMS over PPC during the memory period disrupts the early stages of encoding a spatial location while moving a cursor across the surface of a workspace in the horizontal plane to a given remembered target displayed on a computer monitor screen in the vertical plane. This disruption was manifested by an increase in the variance of pointing precision in both visual fields, but only during TMS to the left PPC. Surprisingly, TMS to the right PPC had no significant effect.
Although the findings of Smyrnis et al. (2003)
suggest an involvement of the PPC in early control of memory-guided pointing, several questions remain. In particular, why was there only increased scatter during left PPC TMS, and why was there no sign of the direction-specific contralateral organization observed in fMRI and patient studies? One possibility is that Smyrnis et al. (2003)
used an indirect mouse-pointing transformation rather than a natural reach directly to the spatial target (Gorbet et al. 2004
; Messier and Kalaska 1997
). Another possibility is that the authors used a standard 9-cm-diameter circular coil, which may not provide an optimally focal means of brain stimulation with TMS, compared with the more recently popular figure-of-eight coil (Pascual-Leone et al. 1999
; Robertson et al. 2003
).
Here, we address these issues by using a figure-of-eight coil to deliver single-pulse TMS to transiently disrupt the putative processing within the dorsal PPC of both hemispheres during a memory-guided "reach-to-touch" movement directly to the spatial location of the visual target. Our results from Experiment 1A confirm that TMS to left PPC produces a specific increase in pointing scatter. However, we also found that during right parietal stimulation, the directional error of pointing movements systematically shifted leftward in both visual fields.
In Experiment 2, we further investigated the latter systematic leftward shift with the use of a recently developed visuomotor adaptation paradigm (Marotta et al. 2005
). A recent fMRI study suggests that after reversing prism adaptation, PPC activity remains tied to the reversed visual input rather than the direction of motor output (Fernadez-Ruiz et al. 2004
). We similarly reasoned that, if any leftright TMS shift was elicited within a visual coordinate frame in the brain, the pointing errors would remain fixed in visual coordinates, that is, reversing vision would reverse the behavioral errors left to right. However, if the neural bias originated in motor coordinates, the behavioral errors should not be affected by the reversal of vision. The aim of this second experiment was to investigate whether these pointing movements remain fixed in visual coordinatessimilar to results observed using fMRIor motor coordinates after reversing prism adaptation during stimulation of the right dorsal PPC.
| METHODS |
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Six human subjects (three males and three females, aged 2030 yr) provided written informed consent before inclusion. All participants were right-handed, as defined by the Edinburgh Inventory of Manual Preference (Oldfield 1971
), in good health, and, according to a self-report, without any known neurological or muscular deficits. All experimental procedures received ethical approval by the York Human Participants Review Subcommittee.
Apparatus
The experimental device was the same in all conditions and consisted of a modular chin-rest/prism assembly fixed to a horizontal tabletop surface in front of a liquid crystal display (LCD) screen (Marotta et al. 2005
). Briefly, the prism assembly consisted of opaque goggles in which a removable leftright reversing Dove prism (12.5 x 3 x 3 cm) was mounted in a black Plexiglas frame 40 cm from a LCD screen that allowed monocular vision in the right eye, and a chin rest that fixed the subjects head and aligned the eye with the central fixation cross. Stimuli were presented at one of four different locations in the periphery (2.3° left, 4.6° left, 2.3° right, 4.6° right relative to the central fixation cross). These target positions corresponded to locations on the vertical screen of 16 and 32 mm from the central fixation cross on the left visual field (LVF, signed negative) and the right visual field (RVF, signed positive), respectively. All of the stimuli were restricted to a 14 x 11.5-cm window so that the central fixation cross (15 cm from the left edge of the LCD screen) fell at the center of the prism view (Fig. 1, B and C). This setup allowed for visual feedback of the hand briefly at the end of the movement and was necessary for the second experiment. A caveat of this setup was that eye movements could not be monitored on-line.
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Pointing movements were monitored by two OPTOTRAK three-dimensional (3-D) motion-tracking systems (Northern Digital, Waterloo, Ontario, Canada), which recorded three 8-mm-diameter infrared light-emitting diodes (IREDs), attached to the distal portion of the subjects left or right index fingertip. The starting hand position was aligned with the central fixation cross but positioned 13 cm below it in the frontal plane and placed on a table surface in the horizontal plane 10 cm away from the subjects torso. The two-dimensional (2-D) coordinates of the IREDs were recorded at a rate of 200 Hz and stored on hard disk for off-line analysis.
TMS protocol
Single-pulse TMS was delivered using a MagStim 200 magnetic stimulator (MagStim, Whitland, UK) and a 70-mm figure-of-eight coil. Custom software triggered the magnetic stimulator 250 ms after the peripheral target extinguished during the memory delay period for the stimulation conditions (see Experimental procedure). It was previously suggested that motor threshold is not an appropriate measure of individual magnetic stimulus intensity in nonmotor areas of the brain because of the lack of correlation between motor and phosphene thresholds in healthy normal subjects (Boroojerdi et al. 2002
; Stewart et al. 2001
). Accordingly, the intensity of magnetic stimulation was fixed to 60% of the stimulator output (Beckers and Zeki 1995
; Corthout et al. 1999
; Dambeck et al. 2006
; Lewald et al. 2002
). All stimulation parameters were in accordance with the safety guidelines for magnetic stimulation (Wassermann 1998
). For anatomic reference, locations for TMS coil placement were determined according to the 1020 EEG (electroencephalogram) coordinate system (Herwig et al. 2003
) and confirmed a posteriori by MRI using vitamin E capsules as markers of stimulated skull positions (Fig. 1A). Commercially available 1020 EEG stretch caps for 20 channels (Electro-Cap International, Eaton, OH) were used to define the 1020 EEG positions. The cap sizes were selected according to the individual head size and fitted to the subjects heads. The putative vector of the magnetic current was derived by virtually prolonging the orthogonal to the line tangent to the skull at the stimulation site by 15 mm from the scalp onto the cortical surface of the structural MRI by means of Brain Voyager 4.6 software (Brain Innovation, Maastricht, The Netherlands). This cortical site then was identified in the Talairach atlas (Talairach and Tournoux 1988
) and the corresponding coordinates and anatomical and Broadmann areas of stimulation were obtained. Specifically, MRI showed that test locations overlay left and right dorsal PPC (P3 and P4, respectively) and included the intraparietal sulcus, Broadmann area 19, and the adjacent cortex in the superior and inferior parietal lobule. Across subjects, the average Talairach coordinates (in millimeters) and their SDs approximately were x = 39 (6), y = 68 (5), z = 38 (6) on the left hemisphere and x = 36 (1), y = 73 (6), z = 41 (4) on the right hemisphere.
Two additional control experiments were conducted to yield estimates of nonspecific effects of TMS on both testing days (i.e., both left and right hemispheric stimulation had their own control conditions). First, we assessed performance after stimulation of the vertex (Cz). Second, we conducted "sham" trials in which the coil was held close to the subjects skull, but angled away so that no current was induced in the brain. None of the subjects reported any undesirable side effects as a result of the stimulation.
Experimental procedure
Left and right hemispheric stimulation were performed on separate days to minimize fatigue and TMS exposure for each session. Subjects first underwent right hemispheric stimulation, while reaching with the right hand, and then returned the following week for left hemispheric stimulation (Experiment 1A). A follow-up experiment (Experiment 1B), stimulating both the left and right hemispheres (counterbalanced), was then performed to investigate whether the pointing asymmetry remained spatially fixed or reversed with left-hand movement. In Experiment 1 (Fig. 1B), subjects performed a baseline task in which they pointed to peripheral targets under open-loop conditions. At the start of each experimental trial, a fixation cross appeared for 1,000 ms. A peripheral target (0.5° circle) then briefly appeared for 500 ms to either the left or right of this fixation cross at random horizontal eccentricities between 2.3 and 4.6°. A single-pulse TMS was delivered 250 ms after this peripheral target extinguished (on TMS trials only) during the 500 ms memory delay period. Based on a preliminary experiment, this early stimulation time during the memory delay had the most significant effect on the subsequent accuracy of pointing movements and is consonant with a previous finding (Smyrnis et al. 2003
). After the delay period, an auditory tone signaled the subjects to use their dominant right hand (or nondominant left hand in the follow-up experiment) to point to the remembered peripheral target. Subjects were instructed to maintain central fixation of the eyes at all times. In every block, each peripheral target location was repeated ten times in random order (40 trials) for each of the four stimulus conditions (no stimulation, test stimulation, control stimulation, and "sham" stimulation). Two blocks were collected for the baseline (no TMS with no prism), control (Cz and "sham" TMS with no prism), and test (PPC TMS with no prism) conditions.
For right PPC stimulation with the right hand only (based on results from Experiment 1A), subjects then underwent a training session on a separate day while wearing a leftright Dove reversing prism (Experiment 2, Fig. 1C). Subjects were considered "trained" once they could successfully perform ten accurate pointing movements consecutively. After learning to correctly point to the optically reversed peripheral targets during the prism training condition, subjects were retested on the pointing task while looking through the reversing prism (test condition). Two blocks were collected for the baseline (no TMS with prism) and right parietal stimulation condition (P4 TMS with prism).
Data analysis
Movement start and end were scored at 5% peak tangential velocity. Pointing accuracy to visual targets was quantified by recording the spatial coordinates in the horizontal (x) and vertical (y) axes of movement endpoints in the frontal plane. Pointing accuracy parameters were assessed by calculating 1) constant errorthe mean distance between the fingertip at movement end and each target location and 2) variable errorthe distance of the endpoints of each movement from the mean final position (95% confidence ellipses of the scatter of fingertip at movement end). The linear distance between the initial fingertip position and its movement endpoint defined movement amplitude, whereas movement direction was defined as the direction in degrees of this vector (Gordon et al. 1994
; Messier and Kalaska 1997
).
Ellipses were fit to the 2-D data set in such a way that the horizontal and vertical coordinates of the ellipse corresponded to the mean of the data. The semimajor (principal axis) and semiminor (orthogonal to the principal axis) axes correspond to the data with the highest and lowest dispersion from the mean, respectively. Based on these axes, confidence ellipses including 95% of the movement endpoint population were constructed (Messier and Kalaska 1997
; Sokal and Rohlf 1981
). Accordingly, constant error provides a measure of overall accuracy with respect to target position and variable error gives a measure of the global pointing scatter (Revol et al. 2003
). Repeated-measures ANOVA and Tukey post hoc tests were used to test the statistical reliability of differences between mean elliptical areas and horizontal errors for movement endpoints; t-tests were used to test significance of pointing error direction before and after prism adaptation.
| RESULTS |
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Left parietal tms.
The fixation position was always straight ahead (aligned with midsagittal plane of head), but the pointing targets (
) varied from 32 mm left to 32 mm right of this fixation position. The symbols
(no stimulation) or
(parietal stimulation) indicate the 20 individual endpoints for each condition in one typical subject. For illustrative purposes, Fig. 2A depicts pointing performance in 95% confidence interval elliptical fits to these data in the no stimulation (gray ellipses) and left parietal stimulation (black ellipses) conditions only for each of the four pointing targets. Figure 2, B and C shows the mean ellipses of all six subjects superimposed one on top of each other.
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Importantly, endpoint variability (elliptical area) increased in the left PPC stimulation condition (black ellipses) for both near (Fig. 2B) and far targets (Fig. 2C), independent of visual field, compared with the baseline (gray ellipses), as is evident by the stochastically larger pointing errors along the vertical and horizontal axes. However, there was no systematic leftward or rightward shift in the horizontal component of the pointing ellipses for any of the targets. This behavior was consistent for all subjects except for one who showed a smaller range of errors, as shown in the mean elliptical data (Fig. 2D).
To quantify these qualitative observations, we calculated the corresponding areas of the ellipses and separated the horizontal pointing component from the overall pointing performance and analyzed it independently. We then performed two separate two-way repeated-measures ANOVAs, condition (four levels: baseline, sham, control, and parietal stimulation) x visual field [two levels: left (LVF) and right (RVF)] with respect to variability in pointing (elliptical areas) and mean horizontal pointing error.
Figure 3 illustrates the main finding for left PPC. For illustrative purposes, data are shown separately for both the elliptical areas and horizontal errors to left and right pointing targets. Figure 3, A and B shows the mean elliptical areas for left hemispheric stimulation for each of the four conditions in the LVF (Fig. 3A) and RVF (Fig. 3B). As shown, there was a significant main effect only for condition [F(3,15) = 16.167; P = 0.001] in elliptical areas. Post hoc analyses (Tukey) showed that left parietal stimulation (P3) significantly increased the elliptical area compared with that in all other experimental conditions (P3 vs. sham, P = 0.001; P3 vs. Cz, P = 0.001; P3 vs. baseline, P = 0.001). In particular, the mean areas of the ellipses for P3 stimulation (289.67 ± 60.96 mm2 for LVF and 227.08 ± 52.19 mm2 for RVF) were greater in magnitude compared with baseline and controls (LVF = baseline: 70.21 ± 13.31 mm2; sham: 65.21 ± 16.16 mm2; Cz: 67.51 ± 12.11 mm2; RVF = baseline: 74.33 ± 9.16 mm2; sham: 56.67 ± 11.46 mm2; Cz: 67.75 ± 12.82 mm2). The pattern of responses was consistent across visual fields as shown by the nonsignificant condition x visual field interaction [F(3,15) = 1.797; P = 0.191]. In contrast to the increased elliptical areas (scatter), no significant differences were found in the mean horizontal pointing errors (P > 0.05) for left hemispheric stimulation (Fig. 3, C and D), irrespective of condition or visual field.
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To distinguish whether TMS affected the speedaccuracy relationship, and verify that subjects did not use alternative strategies in stimulated conditions, we compared the mean movement times between stimulated and nonstimulated conditions for each session. For trials with TMS, movement times were similar (Session 1 = P4: 802.75 ± 56.54 ms; sham: 804.33 ± 56.50 ms; Cz: 809.67 ± 41.17 ms; and Session 2 = P3: 815.83 ± 78.18 ms; sham: 777.67 ± 59.28 ms; Cz: 779.25 ± 39.29 ms) compared with the nonstimulated conditions (Session 1 = baseline: 799.25 ± 58.92 ms; Session 2 = baseline: 807.17 ± 58.44 ms). Analyses revealed no significant influence of TMS on movement times (P > 0.05).
Experiment 1B: TMS during memory-guided pointing with left hand
We then repeated Experiment 1A with the nondominant left hand to investigate whether the same pattern persisted and, if so, whether it was spatially fixed or reversed with left-hand movement. It has been suggested that left/right PPC is preferentially responsible for control of the contralateral hand (Medendorp et al. 2005
; Perenin and Vighetto 1988
). If TMS of the parietal cortex influenced the spatial memory representation of the target location, a similar pattern of endpoint movement should persist regardless of the effector used. Conversely, if this pattern reversed in spatial coordinates, it would suggest that parietal control of pointing was lateralized relative to the effector hand.
Left parietal tms. Figure 5, AD and Fig. 6 use the same conventions as Fig. 2, AD and Fig. 3, respectively, to show our findings during left PPC TMS with nondominant left-hand movement. Similar to the dominant right-hand movement results in Experiment 1A, Fig. 5, AD shows that there was no systematic leftward or rightward shift in the horizontal reaching component coupled with a greater endpoint variability (elliptical area) in the left PPC stimulation condition (black ellipses) compared with the baseline condition (gray ellipses).
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Right parietal tms. Figure 5, EH (right) and Fig. 7 both use the same conventions to show our findings but during right PPC TMS with nondominant left-hand movement. In this case, however, there was no significant increase in the scatter of the pointing endpoints during stimulation over P4 (black ellipses), but rather a systematic shift in ellipse centers (horizontal component error) to the left for all targets in both visual fields compared with the baseline (gray ellipses). Figure 7, consistent with the findings from Fig. 4 in Experiment 1A, quantitatively confirms that the elliptical areas were not significantly different across the conditions and visual fields (P > 0.05). In addition, there was a significant main effect for condition [F(1,5) = 462.25; P < 0.001] for the mean horizontal error during right parietal stimulation (LVF = 6.17 ± 2.03 mm; RVF = 10.26 ± 2.35 mm) compared with that in the baseline condition (LVF = 0.68 ± 1.42 mm; RVF = 4.79 ± 2.39 mm). Consistent with Experiment 1A, the directionality of the horizontal component of the pointing movement, but to a lesser degree, was systematically shifted leftward compared with the baseline independent of visual field.
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Experiment 2: right PPC stimulation after prism adaptation
Given our result for right PPC, the critical question here is: Does this directional leftward bias in pointing error remain fixed in motor or visual coordinates? We addressed this question by using a leftright reversing prism adaptation paradigm in which the retinal coordinates of a target were dissociated from the corresponding motor command. It was previously shown (Marotta et al. 2005
) that this reversal, in conjunction with the simple motor paradigm used here, leads to a rapid visuomotor adaptation that does not produce a dramatic, global leftright reversal of all the normal spatial contingency rules between visual input and motor output (Kohler 1962
; Sugita 1996
).
In Experiment 2, we trained subjects to point with the prism (see METHODS). As illustrated by Fig. 8A, subjects adapted their baseline pointing behavior (no TMS with no prism) from Experiment 1A (thin gray ellipses) to the baseline condition (no TMS with prism) in Experiment 2 (thick gray ellipses) after prism training (P > 0.05; t-test). Figure 8, B and C illustrates the predicted outcomes of right TMS data with prism, using the right PPC data set from Experiment 1A with no prism. If the leftward bias in mean horizontal pointing error during right PPC TMS remained fixed in motor coordinates, then the right PPC stimulation data with prism would look the same as the right parietal TMS in Experiment 1A (Fig. 8B). Conversely, if the errors were fixed in visual coordinates (Fig. 8C), reversing vision would reverse the errors left to right. As predicted in Fig. 8B, the actual leftward shift in mean horizontal pointing error during right TMS after prism adaptation (Fig. 8D) remained fixed with respect to the actual movement and reversed with respect to the proximal retinal stimulus.
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) and right (
) targets should be represented in the bottom half of Fig. 9 (gray zone). In contrast, in the motor coordinate model (Fig. 8B) these data should have the same sign and should be represented in the opposite white zone (Fig. 9, top). As Fig. 9 clearly shows, the data of all six subjects followed the predictions of the motor coordinate model (P > 0.05; t-test). Thus the shift in pointing direction induced by TMS over right dorsal PPC appears to be fixed in motor coordinates.
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| DISCUSSION |
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As in the latter study, we delivered the TMS pulse during the memory interval only after viewing the stimulus, well before the pointing movement, so it is unlikely that this affected the on-line guidance of the movement (Desmurget et al. 1999
). Likewise, we did not replicate the findings of van Donkelaar and Adams (2005)
that TMS over PPC can deviate reach toward gaze, likely because the subjects were required to point immediately when the peripheral target appeared and the TMS was delivered at a more posterior parietal site.
The purpose of our first experiment was to investigate the functional relevance of the left and right dorsal PPC for spatial representation using a single-pulse TMS protocol during a memory-guided pointing movement. To summarize our main findings in Experiment 1: 1) there was a stochastically greater scatter of pointing endpoints in both visual fields during stimulation of left PPC, although no apparent systematic shift was observed in the pointing direction when compared with baseline and control conditions, and 2) in contrast, right PPC stimulation tended to systematically bias pointing leftward in the horizontal axis, independent of visual field, but did not significantly increase pointing scatter. The latter was not observed in the previous study by Smyrnis et al. (2003)
, presumably because they used a mouse-pointing task, whereas we used an actual reach movement, or possibly because our figure-of-eight coil delivered a more focal pulse to the right PPC.
This finding confirms a causal role for left PPC in the generation of memory-guided reach movements (Smyrnis et al. 2003
). In addition, our novel finding for right parietal stimulation agrees with the topography of right PPC (Medendorp et al. 2003
) and may have been missed in previous TMS studies (Smyrnis et al. 2003
) as the result of differences in methodology. In fact, such a pattern of hemispheric asymmetry was also observed in previous TMS studies that emphasized generally the importance of the right PPC in visuospatial and visual attentional tasks (Muri et al. 2002
; Rushworth et al. 2001
; Walsh et al. 1999
), whereas left PPC played a dominant role in limb movements (Rushworth et al. 2001
; Smyrnis et al. 2003
).
Our finding that stimulation of left PPC results in misreaching with the right hand in both ipsi- and contralateral visual fields corroborates characteristic reaching disorders of patients with optic ataxia (Perenin and Vighetto 1988
). Optic ataxia is a disorder associated with posterior parietal lobe lesions, in which visually guided reaching errors typically occur to peripheral targets (for reviews, see Battaglia-Mayer and Caminiti 2002
; Rossetti et al. 2003
). However, lesions confined to the right PPC in these patients typically result in misreaching with one or both hands only in the contralateral visual field (field effect) (Perenin and Vighetto 1988
).
Recent reports described the rare phenomenon of magnetic misreaching, in which optic ataxia patients with parietal damage are unable to decouple reach from gaze (Carey et al. 1997
; Jackson et al. 2005
). At first glance, our findings for right TMS over PPC might seem to contradict this patient work if one begins from the assumption that these low-intensity TMS pulses had an inhibitory effect in the parietal stimulation site. On the other hand, it is conceivable that right PPC stimulation orthodromically activated the dorsal PPC, transiently modulating elements of the neuronal network involved in our memory-guided pointing task. That is, this TMS-induced effect may have resulted in a globally leftward bias in our task. In fact, the leftward bias in pointing observed here during right PPC magnetic stimulation agrees with a recent report that showed an overall shift in reaching toward the left by an unilateral optic ataxia patient, suggesting an overall bias in pointing in the direction opposite to the lesion (Khan et al. 2006
).
Taking our right PPC stimulation findings in Experiment 1A a step further, we probed whether this systematic leftward pointing shift remained fixed in visual or motor coordinates. In other words, is this transiently induced pointing error encoded upstream from the vision-to-motor transformation (Gottlieb and Goldberg 1999
) or downstream from this transformation (Eskandar and Assad 1999
; Kalaska 1996
; Zhang and Barash 2000
)? We tested this by dissociating the retinal coordinates of the goal from the corresponding motor command using an optical-reversing prism. Our results suggest that a brief TMS pulse modifies the output of the right PPC downstream from the adapted visuomotor reversal in motor coordinates, rather than modifying the visual coordinates of the memory representation.
A recent fMRI investigation (Fernadez-Ruiz et al. 2004
) suggests that specific PPC regions encode neither vision nor movement per se, but rather something more intermediate and abstract, such as the spatial goal of the movement in retinal coordinates. Using fMRI, the authors used a delayed-pointing task to identify a cluster of PPC regions whose activity was topographically (contralaterally) related to the direction of the planned movement. All of these regions, including the putative human PRR (Connolly et al. 2003
), showed a reversed topography when retested after training on an optical leftright reversing prism.
On its face, our result appears to contradict that of Fernandez-Ruiz et al. (2004)
. However, our stimulation site is inferior and lateral to the regions identified by these previous studies (Connolly et al. 2003
; Fernadez-Ruiz et al. 2004
; Medendorp et al. 2003
, 2005
; Prado et al. 2005
) and, consequently, may represent different neural mechanisms. Moreover, the discrepancy between our fMRI and TMS results may underline the important differences between these techniques. In particular, fMRI correlates local field potentials with dendritic activity (i.e., input) (Logothetis et al. 2001
) and correlates to physiology on a slow temporal scale. On the other hand, single-pulse TMS most probably acts on axons (i.e., output) (Pascual-Leone 2002
) and may simulate a causal, short-term activation over a brief temporal duration.
Furthermore, it is noteworthy that various theoretical studies (Smith and Crawford 2005
; Zipser and Andersen 1988
) showed that a network implementing a reference frame transformation may encode sensory coordinates at the input correlative level and motor coordinates at the output causal leveleven at the level of individual units. Therefore parietal cortex could encode both sensory coordinates and the prism transformation. Alternatively, it may be that the learned prism transformation works only on physiological patterns of input. In other words, TMS may bypass this transformation through "default," unadapted pathways. In this scenario, the TMS shift would result from offsets in downstream motor structures such as dorsal premotor and motor cortex, which appear to use limb-centered frames of reference (Kakei et al. 1999
; Kalaska and Crammond 1992
; Sergio and Kalaska 2003
).
Taken together, these data suggest that induction of a focal current reveals a hemispheric asymmetry in the early stages of the putative spatial processing in PPC. These results also suggest that a brief TMS pulse modifies the output of the right PPC in motor coordinates downstream from the adapted visuomotor reversal, rather than modifying the upstream visual coordinates of the memory representation.
| GRANTS |
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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Address for reprint requests and other correspondence: J. D. Crawford, York University, 4700 Keele Street, Toronto, Ontario, Canada M3J 1P3 (E-mail: jdc{at}yorku.ca)
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