Self-paced saccades and saccades to oddball targets in Parkinson's disease
Introduction
Impaired initiation and slowed execution of movements are key impairments in Parkinson's disease (PD) (Hallett and Khoshbin 1980; Stelmach et al. 1986). Clinical and experimental data suggest that movement difficulties are exacerbated when patients are required to program sequences of movements (Benecke et al., 1987); perform two or more movements simultaneously (Benecke et al., 1986); switch between movement directions (Mak and Hui-Chan, 2002); or perform self-paced, repetitive movements (O'Boyle et al., 1996).#
Current opinion acknowledges that degeneration of nigrostriatal regions, the neuropathological hallmark of idiopathic PD, results in a malfunctioning of frontostriatal pathways, particularly those involving the supplementary motor area (Cunnington et al. 1999; Marsden 1989). In particular, the disruption of basal ganglia output is associated with deficits providing an internal cue to terminate sustained activity (that follows movement execution) in the supplementary motor area to allow for a preparatory phase for upcoming movements or components of movements (Brotchie et al., 1991b), resulting in impaired self-paced (Fattapposta et al., 2000), simultaneous (Benecke et al., 1986), or sequential (Benecke et al., 1987) movements.#
The eye movement system is considered a model motor system with fewer degrees of variability than the limb movement system (for a review, see Leigh et al., 1999). Saccades are rapid eye movements that shift the line of sight to enable foveation of images of interest. There is an extensive literature regarding the generation of saccades and their modulation. Much is known regarding the anatomical substrate, thus, evaluation of saccadic function may well provide particular insights into motor impairments in PD.#
The ability to respond to changes in task demand has yielded mixed findings in PD. In an experimental setting, responses to changes in tasks can be assessed by measuring movements toward an occasional, unpredictable (“oddball”) target that occurs during a sequence of well-learned reciprocating movements. Although one study claimed that PD patients do not experience difficulty altering the direction and/or amplitude characteristics of ongoing movement (Jones et al., 1993), other studies have suggested that patients may have particular difficulty specifying the direction but not amplitude of forthcoming movements (Pullman et al. 1988; Pullman et al. 1990).#
In line with limb movement studies (Ackermann et al. 1997; O'Boyle et al. 1996), the ability to self-pace saccades may also be deficient in PD. External timing signals can aid the initiation and structure of movements in PD (Georgiou et al., 1993), but it is unclear whether external pacing signals used in training can improve the rhythm and accuracy of subsequent self-paced, repetitive movements (Freeman et al. 1993; Konczak et al. 1997). Hence, the ability to self-pace saccades and maintain timing established during an externally cued tracking (training) period was explored in patients with PD. In addition, this study sought to clarify the ability of PD patients to respond to unexpected changes in either the amplitude or direction of the target. Saccades to oddball targets have not been previously explored in PD (Fig. 1).#
Results
Self-paced saccades
Temporal measures
A small subset of four patients and seven controls completed the self-paced saccade task before the externally cued training. Without external cueing, the PD group (M = 0.70 s) had a significantly faster intersaccadic interval than the control group (M = 1.21 s), F(1,11) = 6.71, P < 0.05. This was reflected in the significantly greater number of saccades per second in the PD group (M = 1.58 saccades/s), as compared to the control group (M = .96): F(1,11) = 5.39, P < 0.05. There were no significant group differences for self-paced saccade velocity. Hence, without an externally cued training period, the PD group self-paced saccades at a significantly faster rhythm than requested.#
Following external cueing (which involved tracking a target that moved once per second), there were no significant group differences on any temporal variables during the self-paced saccade task (intersaccadic intervals—PD: M = 0.98 s, control: M = .95s; saccades per second—PD group: M = 1.08 saccades/s, control: M = 1.12 saccades/s).#
Accuracy measures
The accuracy of self-paced saccades following external cueing was compared to the accuracy of saccades generated during the externally cued tracking period. Fig. 2 demonstrates primary saccade gain for anticipatory (occurring prior to target onset) and non-anticipatory saccades during the externally cued tracking period and self-paced saccades before and after external cueing. Due to the small sample size, self-paced saccades without external cueing were not included in the ANOVAs.#
For primary saccade gain, there was a significant Group (PD; Control) by Saccade Type (externally cued tracking—anticipatory; externally cued tracking—non-anticipatory; self-paced following external cueing) interaction F(2,40) = 4.80, P < 0.05. As demonstrated in Figs. 2 and 3, saccade gain increased significantly from the externally cued tracking saccades to the self-paced saccades, and this effect was exacerbated in the PD group. Final eye position accuracy also differed significantly across Saccade Types, with a tendency for hypermetric final fixations (externally cued anticipatory saccades M = 0.96; externally cued non-anticipatory saccades M = 0.95; self-paced saccades following external cueing; M = 1.04): F(2,40) = 5.87, P < 0.01. There were no significant group differences or interactions for final eye position accuracy. Hence, although saccades were hypometric during the externally cued tracking period (particularly for the anticipatory saccades generated by the PD group), saccades for both PD patients and controls had hypermetric final eye positions during the self-paced tasks.#
Saccades to oddball targets
Temporal measures
During the oddball tasks, saccades to oddball targets were compared to saccades generated to the expected targets. Mean latencies of saccades to oddball (direction) targets and oddball (amplitude) targets, as well as mean latencies for saccades toward expected target locations were submitted to a two-way ANOVA (Group by Target Type).#
For all groups, latencies for saccades to oddball direction targets were significantly increased (M = 207.1 ms), as compared to saccades toward oddball amplitude targets (M = 174.0 ms) or saccades to expected targets (M = 181.9 ms): significant main effect of Target Type F(2,48) = 17.64, P < 0.001. There were no significant main effects of Group or interactions. There were no significant differences between the groups for peak velocities of saccades to oddball targets.#
Accuracy measures
Primary saccade and final eye position gain were submitted separately to Group (control; PD) by Target Type (oddball direction; oddball amplitude; expected target) two-way ANOVAs. Variability (SD) of primary saccade and final eye position gain were also submitted to two-way (Group by Target Type) ANOVAs.#
As demonstrated in Fig. 4, primary saccade gains for both groups were less accurate when performing saccades toward an oddball amplitude target (M = 0.86), compared to saccades toward an oddball direction target (M = 1.02) or expected saccades toward expected targets (M = 1.00): F(2,48) = 10.402, P < 0.001. There was a non-significant trend for the PD group to be less accurate (M = 0.93) than the control group (M = 1.00), P = 0.058. For final eye position gains, there was a significant main effect of Target Type [saccades toward oddball amplitude targets (M = 0.97); saccades toward oddball direction targets (M = 1.06); expected saccades toward expected targets (M = 1.04): F(2,48) = 4.76, P < 0.05].#
Primary saccade accuracy was significantly more variable for saccades to oddball direction targets (M = 0.21SD) as compared to saccades to oddball amplitude targets (M = 0.12) and saccades to expected targets (M = 0.15): F(2,48) = 19.77, P < 0.001. As shown in Fig. 5, this effect was exacerbated in the PD group: Group by Target Type interaction, F(2,48) = 4.23, P < 0.05. Post hoc analyses did not reveal further differences.#
Final eye position accuracy was also significantly more variable for saccades to oddball direction targets (M = 0.18) as compared to saccades to oddball amplitude targets (M = 0.10) and expected saccades to expected targets (M = 0.12):F(2,48) = 22.30, P < 0.001. As demonstrated in Fig. 6, this effect was intensified in the PD group: Group by Target Type interaction, F(2,48) = 4.65, P < 0.05). Post hoc analyses did not reveal further differences.#
Correlations
The only significant correlation with symptom severity (as measured by the motor subscale of UPDRS scores) was the variability of latency for saccades to the oddball for direction target (r2 = 0.72, P < 0.05). This suggests that as symptom severity increases, latencies for oddball saccades become significantly more variable.#
Discussion
We explored the ability of mild to moderately affected PD patients to self-pace saccades at a requested speed of one saccade per second between two continuously illuminated targets before and after an externally cued training period. We also explored the ability to generate saccades to unexpected “oddball” targets, requiring a change in saccade direction and amplitude. Key findings in the PD group were (i) hypometric saccades during the external cueing period, but hypermetric self-paced saccades (a similar pattern of results was noted in the control group); (ii) self-paced saccades (in a smaller sample of PD patients) with increased frequency before external cueing, but performed at a speed of one saccade per second (as requested) after external cueing; (iii) increased variability in terms of saccade accuracy when performing ‘oddball direction’ saccades; and (iv) a significant correlation between symptom severity and intrasubject variability of latencies for saccades to oddball direction targets.#
Our findings indicated that saccades during the externally cued tracking period were hypometric, relative to the self-paced saccades. Although the tracking saccades may be considered externally guided, it is likely that hypometric primary saccade gain, particularly in the PD group, was the result of anticipatory processes that engage striatal–dorsolateral prefrontal cortex pathways (see Crawford et al., 1989; O'Sullivan et al., 1997). In contrast, self-paced saccades are one of the few saccade paradigms that involve purely endogenous saccades that must be internally generated in the absence of any reflexive trigger. Considering associations between hypometria and internally cued movements are well reported in PD (Georgiou et al., 1993), the tendency toward hypermetric self-paced saccades in the PD group was an unexpected finding. One previous study has reported hypermetria in PD patients when they self-paced saccades in the absence of visual targets (O'Sullivan et al., 1997). The authors related overshoot in the PD group to the absence of target visibility. In contrast, our study has demonstrated hypermetria in the presence of a visual target in controls as well as PD patients.#
Martin et al. (1994) also reported overshoot in PD patients in the presence of visual targets during a drawing task that involved repetitive, continuous pen strokes to join dots. The authors interpreted overshoot as a result of deficient synchronizing of cues between basal ganglia output and the supplementary motor area involved in sequential movement preparation (Brotchie et al. 1991ab). If the signal to terminate set-related activity from one movement is defective, this leads to poor preparation for the following movement and results in an endpoint that differs from what was initially planned.#
Interestingly, in our study, both PD patients and controls generated hypermetric self-paced saccades. In accord with our findings, Lemij and Collewijn (1989) reported that when tracking jumping targets, healthy controls generated hypometric saccades, but self-paced saccades between two stationary targets resulted in increased saccade amplitudes. They proposed that the increased time exposed to the target during the self-paced task allowed for greater preparation time to encode the location of the oncoming saccade and, hence, increased accuracy. The fact that both controls and PD patients attained similar primary saccade and final eye position gains for self-paced saccades suggests that the hypermetria may not be a PD impairment. Rather, this finding indicates that self-paced saccade pathways may in fact by-pass the basal ganglia and instead utilize direct frontocollicular pathways (Ferraina et al., 2001). Indeed, positron emission tomography (PET) studies indicated that the supplementary eye fields play a prominent role during self-paced saccades and following repetition or practice, activity in this region increases (Dejardin et al., 1998). Hence, hypermetric self-paced saccades in both the PD and control groups indicate that self-paced saccade accuracy may be determined by direct frontocollicular pathways, which exclude the basal ganglia.#
In their repetitive, continuous drawing task, Martin et al. reported that in addition to hypermetria, PD patients performed movements with an increased speed or ‘hastening’ (Martin et al., 1994). Interestingly, the smaller subset of PD patients who completed our self-paced saccade task before external cueing were also unable to self-pace saccades at the requested rhythm of one saccade per second and instead generated more than one saccade per second. In contrast, the timing of self-paced saccades immediately following the externally cued period (which encouraged saccade tracking at a rhythm of one saccade per second) was similar between the PD and control groups. This finding is consistent with limb studies in PD that have reported beneficial effects of training or practice on the speed and reaction time of upper limb movements during sequential targeting tasks (Behrman et al., 2000) but contrasts with a previous study reporting that withdrawal of external auditory timing cues resulted in marked impairment of patients' rhythm generation (Freeman et al., 1993). Freeman et al.'s (1993) study utilized cross-modality cueing (i.e., synchronizing finger tapping to an auditory cue), whereas cueing in the current study involved a practice period with visual cues. Hence, it is possible that external cues involving the same modality as the task are of greater benefit to PD patients in terms of regulating timing.#
As previously mentioned, when self-paced saccades are performed following practice and repetition, PET studies suggest that activity within the supplementary eye fields increases, while activity in the cerebellum, left superior parietal lobule and left occipital cortex decreases (Dejardin et al., 1998). Although the parameters of the task in the PET study were different to the current study (i.e., saccades were self-paced in darkness, whereas in the current study, saccades were self-paced to continuously illuminated targets) similar principles may apply. That is, while the timing of self-paced saccades in the absence of external cueing may be monitored by the basal ganglia and supplementary eye field connections, the timing of self-paced saccades immediately following an externally cued training period may be mediated primarily through cortical regions (including the supplementary eye fields) and place less emphasis on already compromised striatal regions.#
This study also explored the generation of saccades to unexpected oddball targets. As expected, saccade latencies increased for both groups when they generated saccades to oddball direction targets, as compared to latencies for saccades to expected targets. The variability of latencies for saccades to oddball direction targets was significantly and positively correlated with disease severity (UPDRS scores), suggesting that as the disease progresses, the time taken to respond to changes in target direction becomes more variable. In our previous study, we noted increased errors (i.e., an increased number of inappropriate saccades to the no longer appropriate, but expected, location) in the PD group when required to respond to oddball direction targets (manuscript submitted for publication). Hence, it is likely that increased variability in the latencies of saccades to oddball targets is related to inhibitory deficits within the motor system that probably compromise the selection between competing responses (see Praamstra and Plat, 2001).#
Individual variability of both primary saccade and final eye position gain was significantly increased in PD patients for saccades corresponding to changes in target direction (oddball direction). The ability to accurately respond to unexpected changes in saccade direction is likely to involve a number of regions including the: frontal eye fields (coding saccade metrics) (Gagnon et al., 2002); basal ganglia (facilitate preparation of movement direction) (Postle and D'Esposito, 1999); superior colliculus (directional drive for forthcoming saccades) (Quaia et al., 1999); and, cerebellum (saccade accuracy) (Robinson and Fuchs, 2001). These regions are also involved in target expectation and target selection (Carello and Krauzlis 2004; Gagnon et al. 2002; Hikosaka et al. 2000), processes that play a role during the programming of saccades to oddball targets. In addition, the supplementary eye fields are involved in ocular motor set shifting (i.e., altering saccadic responses to correspond to changes in environmental cues) (Husain et al., 2003). Thus, it is possible that for PD patients, compromised striatal regions (including connections with frontal and collicular areas) may underpin the increased variability in accuracy for saccades corresponding to changes in target direction.#
The PD group was, however, able to generate accurate saccades to oddball amplitude targets. This selective impairment of generating saccades to oddball direction targets is consistent with early limb movement studies that suggested the preparation of movement direction, but not amplitude, may be impaired in PD (Pullman et al. 1988 1990), and a more recent study suggesting deficits switching between movement directions (Mak and Hui-Chan, 2002). Previous studies have also demonstrated that PD patients have difficulty changing set quickly (Chong et al., 2000) and unlike amplitude changes, direction changes may be related to a more general deficit changing set. Taken together, these findings suggest that the basal ganglia are involved in responding to unexpected changes in forthcoming movement direction but not movement amplitude.#
One limitation of this study is that only a small subset of patients completed the self-paced saccade task before external cueing. Nevertheless, our results are consistent with limb studies suggesting that the timing of self-paced movements (without external cueing) is impaired in PD (O'Boyle et al., 1996). Future studies should not only replicate these findings in a larger sample but extend these results to further explore the basis of hypermetric self-paced saccades and determine whether improvements in the timing of self-paced saccades are maintained over time.#
In conclusion, this study has demonstrated that controls and particularly PD patients generated hypermetric self-paced saccades but hypometric saccades during the externally cued tracking period, suggesting different pathways are involved in these different saccade types. Although patients had difficulty regulating the timing of self-paced saccades, they were able to benefit from an externally cued tracking period. It is possible that these beneficial effects on timing of self-paced saccades are mediated through cortical regions (such as the supplementary eye fields), thus placing less emphasis on the already compromised basal ganglia. In addition, while patients were able to respond to unexpected changes in target amplitude, saccades generated in response to changes in target direction were more variable (in terms of latency and accuracy). This finding suggests that the basal ganglia and its connections with the superior colliculus, supplementary and frontal eye fields (regions involved in ocular motor-set shifting, target expectation and target selection), are involved in saccade programming to unexpected changes in target direction, but not amplitude.#
Experimental procedures
Participants
Thirteen mild to moderately affected PD patients voluntarily participated (3 females, 10 males). All were clinically diagnosed with PD by a neurologist (OBW), with disease duration ranging from 1 to 17 years (M = 6.69; SD = 4.54). The severity of motor symptoms was evaluated using the motor subscale of the Unified Parkinson's Disease Rating Scale (UPDRS). The age range was 46–79 years (M = 66.88; SD = 10.26). All patients were tested while on habitual medication (levodopa preparations). Clinical data for the PD group are shown in Table 1.#
An aged-matched group of 13 neurologically healthy, control subjects also participated in this study (8 females, 5 males), aged between 44 and 78 years (M = 64.58, SD = 11.21). No participant demonstrated visual impairment, other than refractive error, or clinical ocular motor pathology. Participants were screened for cognitive decline using the Mini-mental State Examination (MMSE) (Folstein et al., 1975). All participants scored 26 or above and there were no significant differences between PD (M = 29.08, SD = 1.26) and control (M = 28.85, SD = 1.86) groups. Depressive symptoms were evaluated using the Montgomery and Asberg Depression Rating Scale (MADRS) (Montgomery and Asberg, 1979). Although there was a significant difference between PD (M = 2.58, SD = 2.02) and control (M = 1.00, SD = 1.41) groups; t(21) = −2.16, P < 0.05, all participants' scores were within the normal range (0–19) (Montgomery and Asberg, 1979).#
The digit span task, a component of the Wechsler Adult Intelligence Scale (Wechsler et al., 1997), was administered to assess the ability to attend to verbal information and hold and manipulate verbal information in working memory. No significant differences were found between the PD (M = 12.00, SD = 2.59) and control groups (M = 11.38, SD = 3.59) in scores scaled for age effects.#
All participants gave informed consent, and ethics approval was given by local ethics committees according to the National Health and Medical Research Council criteria.#
Eye movement recordings and apparatus
Horizontal eye movements were recorded using an infrared eye tracking system (Skalar, IRIS), with output sampled at 1 kHz. Output from the eye tracker was displayed alongside a control signal generated by E-Prime which indicated stimulus change. A photodiode was placed directly over a non-visible portion of the screen to concurrently record stimulus change in real time. Eye movements were subsequently analyzed off-line, using an interactive computer program. Participants were seated in semi darkness, 55 cm from a flat LCD screen where green target crosses measuring 17 mm by 17 mm (1.6°) were displayed along a horizontal axis at 2.5° intervals from 15° left to 15° right. For all tasks, participants were instructed to fixate the center of each green cross. The participant's head was stabilized by a chin rest and bite bar. Each experimental task was preceded by a calibration sequence in which subjects fixated three green crosses located along the horizontal axis. Rest breaks were provided between each protocol to avoid fatigue. The following tasks were presented to participants as part of a larger battery of ocular motor tasks. The tasks described herein were presented in the following order.#
Self-paced saccade task (no external cueing)
Participants completed two self-paced tasks. During the first task two green crosses were simultaneously presented at +5° and −5° for 60 s: participants were instructed to “look back and forth between the crosses. Try to spend 1 s looking at each cross and to try and maintain this rhythm until I tell you to stop”.#
External cueing and self-paced saccade task
The second task involved an externally cued training period prior to the self-paced task, whereby a green target cross alternated between the two fixed positions (+5° and −5°) at a fixed time frequency of one target per second. This was immediately followed by both green target crosses simultaneously presented at +5° and −5° for 60 s. Participants were told to try to maintain the rhythm established during the externally cued part of the task when self-pacing saccades (i.e., one saccade per second).#
‘Oddball’ task
The oddball task investigated the ability to inhibit an expected motor program and generate a new saccade to correspond to an “oddball” target. There were two conditions of this task: Oddball direction (see Fig. 1a) and Oddball amplitude (see Fig. 1b). In the Oddball direction condition, green target crosses alternated between two positions (7.5° to the left and 7.5° to the right of center) and remained illuminated for 2 s; as one target extinguished, the next target was illuminated (i.e., no gaps between targets). On 15 pseudorandom occasions during the task, an oddball target appeared in the opposite direction to the expected target location (i.e., instead of appearing 7.5° to the right of center, it appeared 15° to the left of center), therefore requiring that the direction (but not amplitude) of the saccade must be altered. Participants were instructed to look at the center of each green cross as soon as it appeared on the screen, even when the cross appeared in a position they did not expect. In the Oddball amplitude condition, the above protocol was varied so that on 15 pseudorandom occasions during the task, an oddball target appeared, in the same direction to the expected target location, but at a location of twice the expected amplitude (i.e., instead of appearing 7.5° to the right of center, it appeared 15° to the right of center), therefore requiring that the amplitude of the saccade be increased to correspond to the oddball target.#
Data analysis
Eye movements were analyzed off-line, using an interactive computer program (Matlab). The beginning and end of a saccade were determined visually, in reference to a position trace and confirmed according to changes in the acceleration of the velocity profile of the saccade trace. Temporal measures considered were latency, defined as the time between target onset and the commencement of the primary saccade during the oddball task; intersaccadic interval was the interval between commencement of each primary saccade during the self-pacing task; and peak velocity of the primary saccade was determined by computer differentiation of the position trace. Accuracy measures included the gain of the primary saccade (ratio of the amplitude of the initial saccade to target step amplitude) and the gain of the final eye position (ratio of amplitude of the final eye position reached after any corrective saccades to target step amplitude) where a gain of 1 is desirable.#
To investigate the consistency of each participant's eye movements, variabilities of dependent variables, in terms of standard deviations, were compared.#
In cases where a Levene's test for equality of variance indicated no significant difference between the variance of the two populations (note that alpha was set at .01 to examine homogeneity of variance), statistical comparisons were based on ANOVAs. A series of Pearson's product moment correlations were also performed to assess for associations between performance on eye movement tasks and scores from clinical ratings.#
Figures and Tables
Table 1
| Participant | Gender, age (years) | Disease duration (years since diagnosis) | MMSE | MADRS | Digit span (SS) | UPDRS | Medication |
| 1 | M, 79 | 7 | 30 | 4 | 12 | 38 | Levodopa/carbidopa, cabergoline |
| 2 | F, 65 | 6 | 30 | 2 | 9 | 24 | Levodopa/carbidopa, cabergoline |
| 3 | F, 69 | 3 | 30 | 0 | 15 | 1 | Levodopa/benserazide, cabergoline, benztropine |
| 4 | M, 60 | 17 | 27 | 3 | 11 | 20 | Levodopa/benserazide, benztropine |
| 5 | M, 75 | 6 | 26 | 3 | 10 | 35 | Levodopa/benserazide |
| 6 | M, 68 | 7 | 29 | 4 | 14 | 31 | Levodopa/carbidopa, entacapone |
| 7 | M, 70 | 2 | 30 | 1 | 10 | 25 | Levodopa/benserazide |
| 8 | M, 75 | 6 | 29 | 4 | 9 | 7 | Levodopa/Carbidopa |
| 9 | M, 67 | 10.5 | 29 | N/A | 13 | 10 | Cabergoline, fluvoxamine |
| 10 | M, 74 | 8 | 29 | 2 | 17 | 25 | Levodopa/carbidopa, levodopa/benserazide, Vioxx |
| 11 | M, 46 | 1 | 30 | 1 | 10 | 17 | Levodopa/benserazide |
| 12 | M, 46 | 12 | 29 | 7 | N/A | 13 | Levodopa/carbidopa, entacapone, domperidone, colchicine |
| 13 | F, 70 | 1.5 | 30 | 0 | 14 | N/A | Levodopa/benserazide |
| M: male, F: female, MMSE: Mini-mental State Examination (max score 30), MADRS: Montgomery and Asberg Depression Rating Scale: 0–19 no or minimal depressive symptoms; 20–30 exhibits depressive symptoms; Digit Span (Wechsler Adult Intelligences Scale, SS—scores scaled for age, higher scores indicate better performance), UPDRS: Unified Parkinson's Disease Rating Scale (motor subscale; higher scores indicate greater impairment), N/A: not available. |
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