Stimulus-Response Compatibility in Huntington s Disease: A Cognitive-Neurophysiological Analysis

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J Neurophysiol 99: 1213 1223, 2008. First published January 9, 2008; doi:10.1152/jn.01152.2007. Stimulus-Response Compatibility in Huntington s Disease: A Cognitive-Neurophysiological Analysis Christian Beste, 1,2,3 Carsten Saft, 2 Jürgen Andrich, 2 Ralf Gold, 2 and Michael Falkenstein 1 1 Leibniz Research Centre for Working Environment and Human Factors, World Health Organization Collaborating Centre for Occupational Health and Human Factors, Dortmund; 2 Department of Neurology, Huntington Centre NRW, St. Josef-Hospital, Ruhr-University Bochum, Bochum; and 3 Department of Clinical Radiology, University of Münster, Munster, Germany Submitted 18 October 2007; accepted in final form 3 January 2008 Beste C, Saft C, Andrich J, Gold R, Falkenstein M. Stimulusresponse compatibility in Huntington s disease: a cognitive-neurophysiological analysis. J Neurophysiol 99: 1213 1223, 2008. First published January 9, 2008; doi:10.1152/jn.01152.2007. The basal ganglia are assumed to be of importance in action/response selection, but results regarding the importance are contradictive. We investigate these processes in relation to attentional processing using eventrelated potentials (ERPs) in Huntington s disease (HD), an autosomal genetic disorder expressed by degeneration of the basal ganglia, using a flanker task. A symptomatic HD group, a presymptomatic HD group (phd), and healthy controls were examined. In the behavioral data, we found a general response slowing in HD while the compatibility effect was the same for all groups. The ERP data show a decrease of the N1 on the flanker in HD and phd; this suggests deficient attentional processes. The N1 on the target was unaffected, suggesting that the attentional system in HD is not entirely deficient. The early lateralized readiness potential (LRP), reflecting automatic response activation due to the flankers, was unchanged, whereas the late LRP, reflecting controlled response selection due to the target information, was delayed in HD. Thus levels of action-selection processes are differentially affected in HD with automatic processes seeming to be more robust against neurodegeneration. The N2, usually associated with conflict processing, was reduced in the HD but not in the phd and the control groups. Because the N2 was related to the LRP and reaction times in all groups, the N2 may generally not be related to conflict but rather to controlled response selection, which is impaired in HD. Overall, the results suggest alterations in attentional control, conflict processing, and controlled response selection in HD but not in automatic response selection. INTRODUCTION The basal ganglia encompass several distinct functional circuits (Chudasama and Robbins 2006) that are important for different cognitive functions. One function attributed to the basal ganglia is the selection of actions (Bar-Gad et al. 2003; Mink 1996; Redgrave et al. 1999), e.g., during competing responses. Processes related to the selection of actions can be examined using flanker tasks, which require subjects to identify a specific response-mapped attribute of a centrally presented target flanked by either response-congruent or -incongruent stimuli (see Cagigas et al. 2007). In this respect. selective attentional processing is important in the Flanker task to select task-relevant and suppress task-irrelevant information (Cagigas Address for reprint requests and other correspondence: C. Beste, Leibniz Research Centre for Working Environment and Human Factors, WHO Collaborating Centre for Occupational Health and Human Factors, Ardeystr.67, D-44139 Dortmund, Germany (E-mail: beste@ifado.de). et al. 2007), hence also subserving the selection of actions. Despite Flanker tasks requiring the selection of an appropriate response, results regarding the importance of the basal ganglia for this function are inconsistent as can be seen in Parkinson s Disease (PD) (Falkenstein et al. 2006): although some studies found no altered interference effects (Lee et al. 1999), some other studies not only found enhanced interference effects (Praamstra et al. 1998, 1999), but also the result of a reduced response conflict in PD is reported (Falkenstein et al. 2006). Another basal ganglia disease is Huntington s disease (HD). It is an autosomal, dominant neuropsychiatric disorder accompanied by a degeneration of the neostriatum (Rosas et al. 2004) leading to chorea and involuntary movements. Besides neuroanatomical pathology, several neurotransmitter systems are changed, and neuroanatomical pathology is also not limited to the symptomatic stage of HD or to the striatum (e.g., Kassubek et al. 2004; Thieben et al. 2002; for review: Rosas et al. 2004). Cognitive functions are deteriorated, and tasks measuring attention may allow an adequate assessment of the progression of disease (Lemiere et al. 2004). A great deal of evidence indicates that patients with HD show deficits in tasks assessing various processes of spatial and selective visual attention (e.g., Finke et al. 2006; Georgiou et al. 1995, 1996; Georgiou- Karistianis et al. 2002; Jahanshahi et al. 1993), and these alterations occur even in presymptomatic HD (phd) (Lemiere et al. 2004). The current study aims to address the question how different sensory and cognitive processes, occurring within a stimulusresponse compatibility task, are modulated in HD under two different aspects: how attentional processing is modulated during the flanker task and how action/response selection is reflected on a behavioral (i.e., reaction times, RTs) and a neurophysiological level. The latter is explored using eventrelated potentials, which are ideally suitable due to their excellent time resolution for disentangling effects on different processing stages. With respect to the first question, the N1 (Coull 1998) and hence attentional processing is assessed. In previous work, it has been shown that the magnitude of the N1 is modulated by attention (for rev. Coull 1998). Because selective attentional processing has been shown to be deficient in HD (e.g., Finke et al. 2006; Georgiou-Karistianis et al. 2002) and changed very early (Lemiere et al. 2004), one may assume that also attention toward the different stimuli in the flanker task is reduced. This The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. www.jn.org 0022-3077/08 $8.00 Copyright 2008 The American Physiological Society 1213

1214 C. BESTE, C. SAFT, J. ANDRICH, R. GOLD, AND M. FALKENSTEIN reduction may be expressed in a reduced N1 to the stimuli. In our study, we separate flanker and target stimuli in time by 100 ms, so a separate N1 is elicited on the occurrence of the Flankers ( flanker-n1 ) and on the occurrence of the target ( target-n1 ). Hence we should be able to separately observe attention effects to the Flankers and to the targets. Both flanker- and target-n1 should be attenuated in HD. If the attentional system is dysfunctional in HD and phd compared with healthy controls, this may affect perceptual/ attentional processes as well as compatibility effects. If less attention is paid, also to the flankers, it may be assumed that in HD, compatible or incompatible flanker presentation has a reduced effect, which may be expressed in a reduced RT-difference between compatible and incompatible trials, compared with healthy controls. Neurophysiologically the lateralized readiness potential (LRP) and especially the stimuluslocked LRP (s-lrp) can be used to assess response selection and activation. The s-lrp waveforms in incongruent trials usually show an early activation of the incorrect response hand (early LRP e-lrp or dip ) preceding the negative deflection that reflects the correct response activation (late LRP) (Falkenstein et al. 2006). The dip reflects involuntary response activation by the flankers, while the late LRP reflects the activation of the correct response after response selection. If less attention is paid (e.g., to the Flankers) in HD compared with healthy controls (see preceding text), conflicting flanker information may become less salient and less effective at a behavioral level. Thus also the dip of the s-lrp in incompatible flanker presentation may be reduced. Alternatively, and because the basal ganglia are supposed to be of importance for the selection of action/responses but deficient in HD, one may assume a deterioration of action/response selection in HD. Such deterioration may be expressed in an impaired selection of the correct response in the case of incompatible trials. This may in turn lead to a reduced inhibition of the dip and hence an increased dip of the s-lrp in HDs and even in phds relative to healthy controls. On the behavioral level, these difficulties in the selection of actions may be expressed in increased RT differences between compatible and incompatible trials for the HD groups relative to healthy controls. Stimulus-response compatibility also affects the P3 (Leuthold and Sommer 1998). It has been shown that the P3 latency was longer for incompatible than for compatible trials (Leuthold and Sommer 1998; Nandrino and el Massioui 1995; Verleger 1997). If incompatible flanker presentation had a reduced effect in HD (see preceding text), P3-latency differences between compatible and incompatible trials should be reduced. Otherwise if action/ response selection is deficient, one may assume increased compatibility effects (see preceding text) that should be expressed in increased P3-latency differences between compatible and incompatible trials. On the other hand, the ability to select actions is very basic for the organization of behavior (Redgrave et al. 1998). It may therefore be speculated that the systems mediating action selection are very robust and hence putatively independent of systems that may feed into the process of action selection (e.g., attention). In similar vein, even severe basal ganglia damage, as it is the case in HD, may have less effect on the selection of actions. Given this, processes related to selection of actions may be not be deteriorated in HD. As mentioned in the preceding text, flanker information is conflicting and induces a response conflict. Processes related to the resolving of response conflict are assumed to be reflected in the N2 (Azizian et al. 2006; Mathalon et al. 2003; Van Veen and Carter 2002; Yeung and Cohen 2006). If less attention is paid to the flankers in HD (see preceding text), the activation of the incorrect response in incompatible trials may be reduced (see preceding text) and hence conflict should be reduced as well. Consequently, the N2 should be reduced in the HD groups, indicating less conflict. Yet there is some discussion whether the N2 may be comparable to the error negativity (Ne/ERN) (Yeung et al. 2004). Both, the N2 and Ne/ERN rely on ACC circuits (Van Veen and Carter 2002). The Ne/ERN has been found to be attenuated in symptomatic HD relative to controls (Beste et al. 2006) but not in presymptomatic HD relative to controls (Beste et al. 2007b). Yet a symptomatic HD group differed from a presymptomatic group (Beste et al. 2007a). Given that the N2 is comparable to the Ne/ERN a similar pattern regarding the N2 may be assumed. In summary, the study examines processes related to attention/perception as well as response selection/activation and conflict processing in symptomatic and presymptomatic HD compared with healthy controls. METHODS Participants Eleven right-handed, unmedicated HD patients (n 11) from 26 to 57 yr of age [39.81 (SD) 8.96 yr] genetically confirmed and with manifest symptoms participated in the study. The mean CAG-repeat length was 46.18 4.49. Patients were rated using the motor score of the Unified Huntingtons Disease Rating Scale (UHDRS) (Huntington Study Group 1996) and revealed a mean score of 24.45 12.25, indicating manifest illness. Additional descriptive data are given in Table 1. Additionally 14 right-handed, presymptomatic HD patients (n 14) from 22 to 52 yr of age were recruited. The mean CAG-repeat length was 42.58 1.78. The BDI revealed no manifest depression (5.75 4.43). Additionally, the duration until estimated age of onset (eao) was calculated for this group by subtracting the actual age of the patient at time of testing from the calculated eao and revealed a mean duration of 10.13 8.1 (range 3.4 23.8; note: negative values in this calculation indicate that the calculated eao has already been passed; whereas positive values indicate that the eao has not passed, due to the estimation by Aylward et al. 2004). Assessment using the YMRS revealed no mania (1.33 1.37). Cognitive screening using the MMSE revealed no dementia (29.41 0.51). Additional descriptive data are given in Table 1. Finally, 12 healthy (n 12) controls from 23 to 52 yr of age were recruited (36.50 8.64. The same psychiatric assessment using the BDI revealed no depression (3.08 3.28) or any mania (1.41 1.44) as revealed by the YMRS. Both groups had a comparable educational background. Additional descriptive data are given in Table 1. All participants gave written informed consent. The study was approved by the ethics committee of the University of Bochum. Task To measure attentional processing, we used a flanker task (Kopp et al. 1996). In this task, vertically arranged visual stimuli were presented. The target-stimulus (arrowhead or circle) was presented in the center with the arrowhead pointing to the right or left. The central stimuli were flanked by two vertically adjacent arrowheads that pointed in the same (compatible) or opposite (incompatible) direction

ANALYSIS OF STIMULUS-RESPONSE COMPATIBILITY IN HUNTINGTON S DISEASE 1215 TABLE 1. Demographic and clinical descriptional data of the symptomatic HD (HD), presymptomatic HD (phd), and control-group (controls) HD phd Controls Sample size 11 14 12 Male:female ratio 6:5 7:7 6:6 Age, yr 36.50 10.20 (21 57) 35.91 10.03 (22 52) 36.50 8.64 (23 52) CAG-repeat length 47.10 5.42 (40 56) 42.58 1.78 (39 46) NA Age of onset (AO) 34.20 11.51 (17 56) NA NA Estimated age of onset (eao) 36.99 11.39 (21 52) 45.53 4.62 (37.5 53.3) NA Duration until eao 0.12 7.94 ( 11.5 13.71) 10.13 8.19 ( 3.44 23.82) NA Unified HD rating scale (motor score) 26.00 12.1 (9 44) 0 NA TFC 11.70 1.25 (9 13) 13 NA IS 86.50 8.83 (70 100) 100 NA IQ 105.70 7.66 (95 118) 109.50 11.86 (95 130) 113.25 8.86 (98 130) UHDRS (cognitive score) 165.40 24.05 (137 215) 236.50 16.81 (209 259) 249.50 10.53 (236 266) MMSE 27.30 2.26 (23 30) 29.41 0.51 (29 30) 29.66 0.49) (29 30) BDI 5.90 4.06 (0 13) 5.75 4.43 (0 14) 3.08 3.28 (0 12) YMRS 3.30 1.56 (1 5) 1.33 1.37 (0 4) 1.41 1.44 (0 5) The mean SD and range, (in parentheses) are given. as the target. The flankers preceded the target by 100 ms stimulusonset asynchrony (SOA) 100 ms. The target was displayed for 300 ms. The response-stimulus interval was 1,600 ms. Flankers and target were switched off simultaneously. Four blocks of 105 stimuli each were presented in this task. Compatible (60%) and incompatible stimuli (20%) and Nogo-stimuli (circle; 20%) were presented randomly. The subjects had to react with the right or left thumb depending on the direction of the central arrowhead and to refrain from responding to circles. Because the flankers and the target point either into the left or right hemispace, a spatial component is evident in this task. Electroencephalographic recording and analysis During the task the EEG was recorded from 32 electrodes (Ag/ AgCl; Fpz, Fp1, Fp2, Fz, F3, F4, F7, F8, FCz, FC3, FC4, FC5, FC6, Cz, C3, C4, C7, C8, Pz, P3, P4, P7, P8, Oz, O1, O2, M1, M2), 2 lateral and 4 vertical EOG electrodes (sampling rate: 500 Hz). Cz was used as primary reference. The filter bandwidth was from DC to 80 Hz. Impedances were kept 5k. The electroencephalograph (EEG) was digitally filtered using a 0.10-Hz high-pass and 20-Hz low-pass filter. From the EEG, response-locked ERPs were computed, beginning 400 ms before and ending 700 ms after the correct or incorrect response. After this, eye movement artifacts were corrected with the Gratton- Coles algorithm using the electrooculographic (EOG) data (Gratton et al. 1983), followed by a baseline correction [ 200 0 ms (i.e., response)]. Remaining artifacts were rejected using an amplitude criterion of 80 V followed by re-referencing all data to linked mastoids. Using stimulus-locked data (locked on the target presentation), the N1 amplitude and latency were measured with respect to the occurrence of the central target (target-n1) and with respect to the flankers (flanker-n1), which precede the target by 100 ms (SOA 100). Furthermore amplitude and latency of the fronto-central N2 and the parietal P3 were measured. All amplitudes were related to the baseline. Only the data of the compatible and the incompatible condition were evaluated. The N1 was analyzed in a repeated-measures ANOVA with the within-subject factors electrode (Oz, O1, O2), flanker versus target, and condition (compatible vs. incompatible) in combination with the between-subject factor group (controls, phd, and HD). Post hoc tests were adjusted using Bonferroni correction. The N2 was analyzed in a repeated-measures ANOVA with the factors electrode (Fz, F3, F4, FCz, FC3, FC4) and condition (compatible vs. incompatible) as within-subject factor and group (HD, phd, controls) as between-subject factor. The N2 was defined as the most negative peak in the interval from 250 to 350 ms after stimulus onset. For the compatible trials, the voltage at the time point of the peak in incompatible trials was used. Post hoc tests were adjusted using Bonferroni correction. The P3 (amplitude and latency) at Pz was analyzed using a repeated-measures ANOVA with condition (compatible vs. incompatible) as within-subject factor and group (control, phd, and HD) as between-subject factor. The P3 was defined as the most positive peak in the interval from 250 to 500 ms after stimulus onset. In addition to these components, the stimulus-locked lateralized readiness potential (s-lrp) was evaluated. Here activity was measured using the electrodes C3 and C4 overlying the hand-area of the motor cortex (Seiss and Praamstra 2004). Before LRP calculation, the current source density (CSD) of the signals was calculated (Nunez et al. 1997), replacing the potential at each electrode with the CSD, thus eliminating the reference potential (Yordanova et al. 2004). Because of the low signal-to-noise ratio of LRPs (Ulrich and Miller 2001), a jackknifing procedure was applied as recommended by Ulrich and Miller before data quantification. To obtain the jackknifed mean LRPs onset score or amplitude j i for each participant i (i 1...n), first, n grand-average waveforms are calculated across participants by successively omitting every participant once. Then for each of the n grand-average waveforms, the LRP onset or amplitude is measured. This results in n jackknifed LRP onset or amplitude scores (j...j n ), with each j i being based on the data from all participants but i (see: Stahl and Gibbons 2004). The idea behind jackknifing is to reduce noise before LRP-onset or -peak detection is made (Stahl and Gibbons 2004) with the effect of a more reliable onset latency and peak amplitude measurement. The onset latency of the e- and late LRP was defined as that point in time, where the LRP reaches a value of 20% of its peak amplitude. The baseline of the stimulus-locked LRP was at 300 to 200ms before stimulus onset. RESULTS Behavioral data RTs on the target presentation were obtained. A univariate ANOVA with the RTs as dependent variable and the factor group as between-subject factor showed that the groups differed with respect to their reaction times [F(2,34) 12.54; P 0.001]. Bonferroni-corrected post hoc tests revealed that the controls (RT: 360.27 12.20, mean SE) did not differ from the phd group (RT: 376.14 11.30; P 0.05), but both of these differed from the HD group (RT: 443.61 12.75; P

1216 C. BESTE, C. SAFT, J. ANDRICH, R. GOLD, AND M. FALKENSTEIN 0.001). The RTs also differed between the compatible and incompatible conditions [F(1,34) 804.80; P 0.001]. RTs were generally slower for the incompatible (RT: 450.07 7.38) than for the compatible condition (RT: 336.61 7.14). This difference was not modulated by the factor group as there was no group by compatibility interaction [F(2,34) 0.31; P 0.970]. Table 2 shows RTs in compatible and incompatible conditions separated for each group. The overall number of errors did not differ across the groups [F(2,34) 0.72; P 0.493]. More errors (error rates) were committed in the incompatible condition (8.12 0.53) than in the compatible condition [5.26 0.38; F(1,34) 85.45; P 0.001]. There was no group by compatibility interaction [F(2,34) 0.66; P 0.520]. Electrophysiological data N1. The means SE are given. The grand average ERPs are shown in Fig. 1. The flanker-n1 appears just after target presentation, before the target-n1 (see also Fig. 1). The repeated-measures ANOVA revealed a significant main effect of electrode [F(2,68) 23.67; P. 001] reflecting the N1 to be larger at the electrodes O1 ( 4.52 0.22) and O2 ( 4.61 0.21) compared with Oz ( 3.35 0.28). The factor group did not influence this effect [F(4,68) 0.95; P 0.441]). The factor condition was not significant [F(1,34) 0.32; P 0.557]. In contrast a significant main effect of flanker versus target is revealed [F(1,34) 9.15; P 0.005]. Here it is shown that the flanker-n1 ( 4.71 0.24) is larger than the target-n1 ( 3.60 0.31). This effect differed between the groups as reflected in a group by stimulus interaction: [F(2,34) 9.20; P 0.001]. Because the flanker versus target effect did not further differ between the electrodes [F(2,68) 0.91; P 0.406], the potentials at these (O1, O2, Oz) electrodes were collapsed for subsequent separate univariate ANOVAs with flanker-n1 and target-n1 as dependent variable and the factor group as between-subject factor to further explore the interaction of group with flanker versus target. The amplitude of flanker-n1 clearly differed between the groups [F(2,34) 36.96; P 0.001]. Here it is shown that the flanker-n1 was largest in the control group ( 7.55 0.42) followed by the phd ( 4.11 0.38) and HD group ( 2.48 0.43). Bonferroni-corrected post hoc tests showed that the control group differed from the phd and HD groups (P 0.001) but also the phd and HD groups differed from each other (P 0.025). With respect to the amplitude of the target-n1, the groups did not differ from each other [F(2,34) 1.25; P 0.299]. All remaining possible interaction effects of the repeated-measures ANOVA were not significant (all F s 1.32; P 0.270). TABLE 2. Mean reactions times (RTs) across all trials, for compatible and incompatible trials, separated for groups (control, phd, HD) HD phd Controls Mean RT All trials 443.6 62.2 376.1 31.8 360.2 28.3 Compatible trials 387.6 64.6 319.1 32.7 303.1 26.7 Incompatible trials 499.6 63.9 433.1 32.9 417.4 34.4 N2. The N2 on incompatible trials is shown in Fig. 2. The repeated-measures ANOVA revealed a significant main effect electrode [F(5,10) 7.21; P 0.001] with the N2 being maximum at Fz (0.98 0.37 V) and FCz (0.75 0.17 V). This effect was further modulated by the factor group as the interaction reveals [F(10,170) 3.22; P 0.001]. Subsequent Bonferroni-corrected univariate ANOVAS for each electrode across groups revealed significant group differences at the electrodes Fz, FCz, and F3 (all F s 7.14; P 0.002) with the control and presymptomatic group not differing from each other (P 0.6), but both of these differed from the symptomatic group (P 0.001). In all comparisons, activity was lower in the symptomatic compared with the control and presymptomatic group. At the electrodes F4, FC3, and FC4, the groups did not differ from each other (all F s 0.76; P 0.474). There was a significant main effect condition [F(1,34) 106.13; P 0.001] with the potential being more negative in the incompatible (0.07 0.21 V) compared with the compatible condition (2.94 0.15 V). This main effect was further modulated by the factor group as the interaction reveals [F(2,34) 3.36; P 0.046]. Subsequent Bonferroni-corrected univariate ANOVAs for each condition across groups revealed that the groups did not differ in their amplitude on incompatible trials [F(2,34) 0.54; P 0.584] but in their amplitude on compatible trials [F(2,34) 8.29; P 0.001]. Here it is shown that the control ( 0.87 0.40 V) and the phd group ( 0.62 0.37 V) did not differ from each other (P 0.9), but both of them differed from the HD group (1.12 0.42 V; P 0.012), which shows a reduced N2 in the HD group compared with the other groups (compare Fig. 2). P3. For the amplitude, the ANOVA revealed neither a main effect condition [F(1,34) 1.84; P 0.183] nor the interaction condition group [F(2,34) 0.29; P 0.749] nor the main effect group [F(2,34) 2.00; P 0.151]. For the latencies, a significant main effect condition was obtained [F(1,34) 37.22; P 0.001]: the P3 peak latency was shorter in the compatible (315.9 6.8 ms) than in the incompatible condition (378.3 10.2 ms). This effect did not differ between the groups [(condition group: F(2,34) 0.31; P 0.753]. Yet there was a significant main effect group [F(2,34) 4.79; P 0.015]. Bonferroni-corrected post hoc tests show that in the HD group, the P3 peaked later (377.2 12.9 ms) than in the control group (322.5 12.3 ms; P 0.013). The phd group (341.6 11.4 ms) did not differ from both of these groups (P 0.140). LRP. The LRP traces averaged to stimulus onset (s-lrp) are shown in Fig. 3. In the incompatible condition, the LRP waveforms show clear activations of the incorrect response hand, i.e., an initial positive deflection (the dip indexing the incorrect activation by the flankers) preceded the correct negative deflection (indexing the correct activation by the target). The amplitude of the early incorrect s-lrp (dip) did not differ between the groups [F(2,34) 0.03; P 0.996]. Also the onset latency of this dip did not differ between the groups [F(2,34) 0.54; P 0.586]. The same was found for the peak latency [F(2,34) 0.09; P 0.908]. Also the amplitude of the late s-lrp did not differ between the groups [F(2,34) 1.50; P 0.237]. Yet its peak latency differed between the groups [F(2,34) 4.96;

ANALYSIS OF STIMULUS-RESPONSE COMPATIBILITY IN HUNTINGTON S DISEASE 1217 FIG. 1. The N1 on flanker- and targetpresentation at electrodes O1, Oz, O2 for the control, presymptomatic, and symptomatic Huntington s disease (HD) group. P 0.013]. Post hoc tests showed that the control (348.0 0.3 ms) and phd group (350.5 0.3 ms) did not differ from each other, but both of these showed an earlier peak latency than the HD group (401.5 0.3 ms; P 0.001). Also the onset latencies differed between the groups [F(2,34) 6.62; P 0.004]. Post hoc tests showed that the control (279.2 0.2 ms) and phd group (280.5 0.2 ms) did not differ from each other, but both of these showed an earlier onset latency than the HD group, which also resembles the findings of the RTs. The onset and the peak latency of the LRP during conflict trials was related to the peak latency of the N2 in conflict trials in all groups (see Table 2) as revealed by

1218 C. BESTE, C. SAFT, J. ANDRICH, R. GOLD, AND M. FALKENSTEIN FIG. 2. The N2 on incompatible trials at electrodes Fz and Fcz for the control, presymptomatic, and symptomatic HD group. Pearson-correlations (Stahl and Gibbons 2004). Furthermore, RTs in these conditions also correlated with the N2 and the LRP (see also Table 2). DISCUSSION In this study, we investigated processes of attention and action/response selection in different stages of HD (phd and HD) in comparison to healthy controls by means of ERPs in a flanker paradigm. The behavioral data showed that RTs were increased in the HD group relative to the phd and control group, but compatibility effects were comparable in all groups. The electrophysiological data revealed that the N1 to the flankers was strongly reduced in the HD and less so in the phd patients compared with the controls, whereas the N1 to the targets did not differ across the groups. The early LRP showed no differences between the groups, but the late LRP was delayed in the HD group compared with the other groups (Fig. 4). The N2 was smaller for the HD group compared with the control and phd groups. The P3 revealed compatibility effects in the peak amplitude latency, which was not further modulated by the groups. For the P3 amplitude, no effect was obtained. Attentional processing The amplitude reduction of the flanker-n1 seen in the HD groups suggests that these stimuli are less attended in HD patients (Coull 1998). As such, the results of a reduced flanker- N1 between the HD group and the control group are in line with various previous findings of a dysfunction in spatial visual attention in HD (e.g., Finke et al. 2006; Georgiou et al. 1995, 1996; Georgiou-Karistianis et al. 2002; Jahanshahi et al. 1993). The fact that the phd group differed from the HD group suggests that visual attentional processing may decline as disease progresses, and this decline can be assessed neurophysiologically. Because the phd group also differed from the control group, the neurophysiological data underline that the attentional system seems to be early affected in HD (see: Lemiere et al. 2004) and show that the N1 may be useful to assess disease progression in HD in possible future longitudinal analyses (Lemiere et al. 2004). The visual N1 is generated in the lateral extrastriate cortex (Herrmann and Knight 2001), and studies show that the visual N1 can be attenuated in case of frontal lobe lesions (Barcelo et al. 2000), signifying for a top-down modulation of early attentional processing occurring in primary sensory areas, reflected by the N1 (Herrmann and Knight 2001). The basal

ANALYSIS OF STIMULUS-RESPONSE COMPATIBILITY IN HUNTINGTON S DISEASE 1219 FIG. 3. The stimulus-locked lateralized readiness potential (LRP) on incompatible trials in the HD groups. The early LRP precedes the late LRP. ganglia and the frontal cortex are highly interconnected via distinct functional circuits (e.g., Chudasama and Robbins 2006) modulating frontal cortex function. Yet the basal ganglia themselves seem to play an important role in attentional modulation (Kropotov and Etlinger 1999), even in the visual domain (Silkis 2006). Thus basal ganglia pathology in HD, which is already evident in phd, may affect visual processing, either indirectly through modulation of processing in frontal brain areas or directly through possible connections with the visual cortex (Silkis 2006), both leading to a reduction of the N1. In contrast to the reduction of the flanker-n1 and in contrast to our hypothesis, no effect was seen regarding the target-n1, which suggests that the target is attended in a similar way all groups. It may be argued that the lack of difference in the target-n1 may be due to a temporal overlap of two different ERPs, namely the target-n1 and the flanker-n2. Therefore the lack of group difference in the target-n1 has to be treated cautiously due to a possible overlap of components. However, the N2 was attenuated in the HDs, compared with phds and controls; hence a possible overlap should also reduce the target-n1; however this was not the case. Therefore it appears safe to assume that the later appearing target-n1 is not reduced in the patients. The finding regarding the target-n1 contrasts with the flanker-n1 and suggests that attentional processing in HD may not be entirely deficient. Rather it may be hypothesized that the attentional system in HD may need more time to become fully effective. Otherwise the pattern of a reduced flanker-n1 in the HD and phd groups but unchanged target-n1 may suggest a use of a strategy in the HD groups in which the distracting flankers are not attended by the HD and phd groups to enhance performance on target presentation. In that way, the HD and phd groups may be better at filtering out the distractors, thereby maintaining performance. Yet this explanation leaves open the question why the HD and phd groups use this strategy to a different extent as indicated by the differential modulation of the flanker-n1 in these groups. In summary: the N1 pattern suggests an attenuation of flanker but not subsequent target processing in HD, which may reflect an alteration of visuospatial attention or rather a strategy of the patients to reduce flanker influence. Action selection Despite the amplitude of the flanker-n1 shown attenuation in the HD and phd group suggesting that the processing of the flankers is reduced in the patients, the s-lrp data reflecting automatic, premotor response activation indicates that incompatible flanker presentation has a similar effect across all groups because the dips (e-lrp), reflecting the automatic activation of the false response due to flanker processing, did not differ in their amplitude and latency between the groups, which is also against the initial hypothesis. Further the P3 showed compatibility effects that did not differ between the groups; this also was not expected. Similarly behavioral data, i.e., differences in RT and error rate between compatible and incompatible flanker presentation, did not differ between the groups. This suggests similar compatibility effects and hence similar performance regarding action/response selection in HD, phd, and controls despite a reduced flanker processing in the patients (see: decreased flanker-n1). This suggests that the effect of the flankers on involuntary motor activation is the same even with reduced processing of the flankers. This may be due to the fact that the direction of arrowheads is extremely easy to discriminate even when the representation of the object is blurred or impaired. In future studies, flanker discriminability may be varied. The results of preserved action selection on an automatic premotor level may contrast with the notion that the basal ganglia, which are affected in HD and phd, are assumed to play an important role in action selection (Bar-Gad et al. 2003; Mink 1996; Redgrave et al. 1998), i.e., in choosing one or more appropriate actions out of a multitude of such actions presented to the basal ganglia by the cortex (Bar-Gad et al. 2003; Mink 1996). Here GABAergic interactions between the medium spiny neurons (MSPs) of the striatum are of importance (Bar-Gad et al. 2003; Plenz 2003). In HD, MSPs are most affected in the striatum, and degeneration of these neurons occurs progressively (Cepeda et al. 2007; Mitchell et al. 1999). Because no change is observed, it may be assumed

1220 C. BESTE, C. SAFT, J. ANDRICH, R. GOLD, AND M. FALKENSTEIN FIG. 4. The P3 at electrode Pz for the control, presymptomatic and symptomatic HD group. The figure depicts the main effect group. that action/response selection on a premotor automatic level can sufficiently be mediated even when important neural systems (e.g., MSPs) subserving these processes are damaged to a large extent. Furthermore, the fact that the s-lrp remained stable despite flanker information may be less salient in the HD groups due to a decreased N1 suggests that action/response selection on a premotor level is relatively independent from other systems that may subserve this system (e.g., attention) or may work sufficiently even when subserving systems are attenuated in function. In contrast to the e-lrp reflecting the automatic activation of the incorrect response, the LRP indicating for controlled response activation was changed in onset and peak latency in symptomatic HD. This fits nicely to the prolonged RT in this group. Because the e-lrp peak and onset latency did not differ across the groups, this suggests that the switch from automatic (incorrect response activation) to controlled processing (correct response) needs more time in HD and shows that controlled action/response selection is delayed in HD, whereas automatic response activation is unimpaired. This may fit to the findings of difficulties in switching in HD (Aron et al. 2003). Switches from automatic to controlled actions are mediated by the medial frontal cortex and especially the pre-sma (Isoda and Hikosaka 2007), which has been shown to be dysfunctional in HD (Bartenstein et al. 1997). Furthermore this result suggests that automatic and controlled response activation are differentially affected in HD. Automatically activated responses seem to be more robust against neuropathological processes in HD than more controlled response activations. It may be theorized that this effect emerges due to processing dysfunctions in the medial frontal cortex mediating the switch from automatic to controlled processing (Isoda and Hikosaka 2007). In further studies, it should be explored whether action/response selection per se is impaired in HD or whether the switch from automatic to controlled response selection is impaired. Conflict processing The pattern found for the N2, which is supposed to reflect conflict processing (Azizian et al. 2006; Mathalon et al. 2003; Van Veen and Carter 2002; Yeung and Cohen 2006), dissociates from the results concerning compatibility effects measured on a premotor level (e-lrp) in the HD groups. Despite the compatibility effects in the HD group being comparable to the

ANALYSIS OF STIMULUS-RESPONSE COMPATIBILITY IN HUNTINGTON S DISEASE 1221 TABLE 3. phd and control group in behavior and ERPs, the N2 is clearly attenuated in the HD group. Hence the N2 does not appear to be related to the conflict that causes the RT prolongation in incompatible trials. This dissociation suggests that the N2 does not reflect conflict on the motor or premotor level but, if at all, on a higher cognitive level only. Yet it cannot be ruled out that in the normal state the N2 does reflect motor conflict and only gets decoupled from RT and e-lrp in the HD group. Conflict processing is assumed to be a function of the anterior cingulate cortex (ACC) (for review: Botvinick et al. 2004). The ACC has been found to be dysfunctional in HD (Beste et al. 2007b; Reading et al. 2004), thus the attenuated N2 nicely reflects dysfunctions in the ACC in HD. Yet the processing of conflict has also been attributed to the pre-sma (e.g., Garavan et al. 2003; Ullsperger and von Cramon 2001). This brain structure is also dysfunctional in HD (Bartenstein et al. 1997). Because the ACC as well as the (pre)-sma is functionally connected with the striatum (e.g., Chudasama and Robbins 2006), an anterograde process of degeneration, starting in the striatum, may play a role in ACC and pre-sma dysfunctions in HD. Because the N2 was not attenuated in the phd group relative to healthy controls this may suggest that the medial frontal cortex (ACC or pre-sma) is not as dysfunctional in the phd than in the HD group. This in contrast to the selection of actions/responses on a premotor level (reflected by the s-lrp), suggesting that the conflict processing system is less stable than the system mediating action/response selection on an automatic premotor level (e-lrp). The pattern reflected by the N2 resembles the one reflected by the LRP. In the preceding text, it was hypothesized that the deficit in the HD group reflected by the LRP data may reflect dysfunctions in the medial frontal cortex mediating the switch from automatic to controlled processing (Isoda and Hikosaka 2007). The correlational analyses (Table 3) showed that the peak and onset latency of the late LRP as well as the RTs were related to the latency of the N2. This suggests that the N2 may putatively drive the controlled response and might hence reflect response selection rather than conflict. This nicely corroborates data of Gajewski et al. (2007), who found a correlation of the N2 with RT regardless of conflict. This would imply that the controlled selection of a response, rather than conflict processing, is impaired in HD. Future studies may vary the SOA between flanker and target presentation to further elucidate the role of the degree of conflict on conflict monitoring functions in HD. The pattern of results regarding the N2 resembles findings of the error negativity (Ne) (Falkenstein et al. 1991) or errorrelated negativity (ERN) (Gehring et al. 1993) in HD. Here it was recently shown that the Ne differed between healthy controls and symptomatic HD (Beste et al. 2006) as well as between symptomatic and presymptomatic HD (Beste et al. 2007b) but not between healthy controls and presymptomatic HD (Beste et al. 2007a). It is still a matter of debate whether the Ne, supposed to reflect error processing (e.g., Falkenstein et al. 1991; Ullsperger and von Cramon 2001), is comparable to the N2, reflecting conflict processing (e.g., Azizian et al. 2006; Wendt et al. 2007). The pattern of results regarding a similar reduction of the Ne and the N2 in HD suggests that the Ne and the N2 share common processes (see also: Yeung et al. 2004). Conclusion Summary of the correlational analysis between N2 parameters, RT and LRP parameters In summary, the electrophysiological data suggest an alteration in attentional processing as revealed in the selective attenuation of the flanker-n1 in HD. Despite this, the flankers have the same impact on response activations for all groups probably because of the highly discriminable stimuli. Hence Fz (N2 latency) FCz (N2 latency) Reaction Time Onset Latency Peak Latency Controls (12) Fz (N2 latency) 1 0.816** 0.688** 0.519* 0.265 FCz (N2 latency) 1 0.815** 0.673** 0.050 Reaction time 1 0.537* 0.150 LRP (onset latency) 1 0.234 LRP (peak latency) 1 phd (14) Fz (N2 latency) 1 9.66** 0.857** 0.624** 0.149 FCz (N2 latency) 1 0.863** 0.595* 0.161 Reaction time 1 0.740** 0.152 LRP (onset latency) 1 0.115 LRP (peak latency) 1 HD (11) Fz (N2 latency) 1 0.773** 0.834** 0.771** 0.040 FCz (N2 latency) 1 0.836** 0.527* 0.181 Reaction time 1 0.596* 0.038 LRP (onset latency) 1 0.017 LRP (peak latency) 1 All (37) Fz (N2 latency) 1 0.826** 0.778** 0.393** 0.372* FCz (N2 latency) 1 0.755** 0.223 0.202 Reaction time 1 0.636** 0.618** LRP (onset latency) 1 0.998** LRP (peak latency) 1 n values in parentheses. *P 0.05; **P 0.01. LRP

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