Executive functioning in schizophrenia: A thorough examination of
Transcription
Executive functioning in schizophrenia: A thorough examination of
Schizophrenia Research 114 (2009) 84–90 Contents lists available at ScienceDirect Schizophrenia Research j o u r n a l h o m e p a g e : w w w. e l s ev i e r. c o m / l o c a t e / s c h r e s Executive functioning in schizophrenia: A thorough examination of performance on the Hayling Sentence Completion Test compared to psychiatric and non-psychiatric controls Nicole Joshua a,b,⁎, Andrea Gogos a,b, Susan Rossell a,b,c a Mental Health Research Institute of Victoria, Level 2, 161 Barry Street, Carlton South Victoria 3053, Australia The University of Melbourne, Parkville Victoria 3010, Australia c Monash–Alfred Psychiatry Research Centre, Monash University School of Psychology, Psychiatry and Psychological Medicine, The Alfred Hospital, Victoria, 3004, Australia b a r t i c l e i n f o Article history: Received 20 January 2009 Received in revised form 28 May 2009 Accepted 29 May 2009 Available online 21 June 2009 Keywords: Schizophrenia Executive functioning Inhibition Suppression Bipolar disorder Hayling Sentence Completion Test a b s t r a c t Background: The current study examined executive functioning in schizophrenia by assessing response initiation and suppression in a group of schizophrenia patients, and drawing comparisons with psychiatric and non-psychiatric control groups. Method: The Hayling Sentence Completion Test was used as a measure of executive functioning and was completed by 39 schizophrenia patients, 40 bipolar disorder patients and 44 healthy control participants. Outcome measures included response initiation and response suppression latency and error rate. Results: The schizophrenia group was significantly impaired on all measures of the Hayling Sentence Completion Test when compared to healthy control participants, and only on some of the measures when compared to the bipolar disorder group. The bipolar disorder group did not differ in performance compared to the healthy control group. Overall schizophrenia patients showed longer response initiation and response suppression latencies, and an increased error rate. Performance of the schizophrenia patients was associated with higher ratings of cognitive disorganisation. Performance was not related to age, gender, predicted IQ or any other clinical characteristics. Conclusions: Schizophrenia patients show a slowing in baseline response initiation and slowed suppression of an inappropriate response. Considering the bipolar disorder patients demonstrated intact performance, altered executive functioning in schizophrenia appears relatively specific to the disorder rather than reflecting other characteristics common to mental illness. Investigations examining which neurocognitive domains are impaired in schizophrenia provide direct implications for treatment options tailored to an individual's cognitive strengths and weaknesses. © 2009 Elsevier B.V. All rights reserved. 1. Introduction Neurocognitive impairment is considered a core feature of schizophrenia (Elvevag and Goldberg, 2000), with impair⁎ Corresponding author. Mental Health Research Institute of Victoria, Level 2, 161 Barry Street, Carlton South Victoria 3053, Australia. Tel.: +61 3 8344 1853; fax: +61 3 9348 1778. E-mail addresses: [email protected] (N. Joshua), [email protected] (A. Gogos), [email protected] (S. Rossell). 0920-9964/$ – see front matter © 2009 Elsevier B.V. All rights reserved. doi:10.1016/j.schres.2009.05.029 ment relatively resistant to antipsychotic medication (Goldberg et al., 1993). Impairment is apparent early in the illness, as it is observed in first episode patients (Saykin et al., 1994). Longitudinal studies have revealed no difference in the degree of impairment between first episode and previously treated patients, both initially and at 19-month follow-up (Censits et al., 1997), thus indicating that deficits are stable over the course of the illness. Individuals at high-risk for developing schizophrenia, i.e. first-degree relatives, also exhibit deficits, suggesting a familial link (Byrne et al., 1999; Faraone et al., N. Joshua et al. / Schizophrenia Research 114 (2009) 84–90 1995). Furthermore, schizophrenia patients who demonstrate the lowest ratings on assessments of global functioning exhibit greater neurocognitive impairment compared to higher functioning patients (Loughland et al., 2007). One particularly important aspect of neurocognition is executive functioning. This is a broad term used to describe cognitive processes involving control, flexibility, inhibition, regulation, planning, fluency and execution of goal-oriented behaviour. Such processes commonly involve abilities mediated by the prefrontal cortex. Extensive research indicates deficient executive functioning in schizophrenia patients (Evans et al., 1997; Morice and Delahunty, 1996). The Hayling Sentence Completion Test (HSCT) was developed to assess functioning in patients with cerebral lesions (Burgess and Shallice, 1996), and is an established measure of executive functioning. It was used in the current study. The task was designed to assess basic initiation speed and response suppression (Burgess and Shallice, 1997). HSCT performance is impaired in schizophrenia, with investigations reporting a relationship between HCST and clinical presentation (Chan et al., 2004), cortical activation (McIntosh et al., 2008), schizotypal personality traits (Laws et al., 2008), early-onset psychosis (Groom et al., 2008) and high-risk factors (Byrne et al., 1999). Significantly, HSCT has been shown to be a strong predictor among genetically high-risk individuals as to who goes on to develop the illness (Whalley et al., 2008). The HSCT is a useful measure as it provides an overall standardised score to determine level of global impairment. In addition, the HSCT permits division and analysis of specific executive abilities evaluated within the task, i.e. response initiation, response suppression, as well as the error pattern. The specific profile of impairment in schizophrenia on the HSCT has not yet been thoroughly examined. Some studies have evaluated either overall performance (McIntosh et al., 2005), the speed of response (Groom et al., 2008) or error rates (Waters et al., 2003), with only one study incorporating all measures of response latencies over conditions and type of errors (Marczewski et al., 2001). However, their group sample size was limited (n = 15). Further, few studies have looked at the standardised classification of performance according to the task guidelines. This classification guide provides useful labels for performance evaluation ranging from ‘impaired’ to ‘high average’ performance. A further issue common to neurocognitive investigation in schizophrenia involves the diagnostic specificity of the impairment. That is, are the performance deficits secondary to the illness and instead a result of psychopathological characteristics common to all mental illness, or are the deficits specific to the underlying aetiology of schizophrenia? This issue has been addressed in the current study by incorporating a bipolar disorder (BD) sample as a psychiatric control group. BD patients also show consistent neurocognitive impairment (Bearden et al., 2001), including executive functioning (Stoddart et al., 2007). Further, neurocognitive impairment appears to be independent of current affective state (Dixon et al., 2004). Both BD and schizophrenia patients experience psychotic symptoms and as a result share several psychopathological characteristics. While distinctly separate disorders, both groups of patients can become severely unwell, experiencing long periods of time in psychiatric 85 institutions or hospitalisation. As a consequence they often show a reduced ability to maintain employment and/or social networks. Both groups are often prescribed with antipsychotic medication for extended periods of time. Considering these similarities, a BD group is an advantageous addition as a psychiatric control group within schizophrenia research, providing the opportunity to take into account factors such as medication, hospitalisation and length of illness. Previous HSCT studies have addressed this issue to a degree. One study included a group of attention-deficit hyperactivity disorder (ADHD) adolescents as a neurodevelopmental control group for HSCT performance comparisons to adolescent schizophrenia spectrum patients (Groom et al., 2008). Another study included a sample of schizophrenia and BD patients; however, they only reported one overall measure of HSCT performance (McIntosh et al., 2008). Therefore, to our knowledge, there have been no other studies to date to compare detailed behavioural performance on the HSCT between schizophrenia and BD patients. The aim of the current study was to improve upon previous research in two main ways. Firstly, by examining HSCT performance in schizophrenia in greater detail than has been described previously; and secondly, drawing performance comparisons to both psychiatric and non-psychiatric control groups. Specifically, the HSCT was used to assess response initiation, response suppression and an error pattern. It was expected that the schizophrenia and BD patients would demonstrate performance deficits compared to the healthy control group in the form of longer response latencies and increased error rate. It was further hypothesised that deficits shown by schizophrenia patients would be greater than those of the BD patients indicating a diagnosisspecific impairment rather than an impairment that is secondary to the disorder. 2. Method 2.1. Participants The current study included 39 patients diagnosed with schizophrenia and 40 patients diagnosed with BD. Patients were recruited via community support groups and community care units and were all out-patients. Diagnosis was confirmed using the Structured Clinical Interview for DSM-IV (SCID: First et al., 1996). Current symptomology was acquired using the Positive and Negative Syndrome Scale (PANSS: Kay et al., 1987). Only patients with no other co-morbid Axis 1 diagnoses were included in the study. All patients were in a chronic phase of illness and were not experiencing an acute psychotic or mood episode at the time of testing. BD patients were screened for current mood episodes during recruitment and then a euthymic state was confirmed during the SCID. Clinical characteristics are presented in Table 1. Forty-four healthy control participants were recruited via local advertisements. Control participants were excluded if they had any history of psychiatric disorder or a first-degree relative with either schizophrenia or BD. All participants met the following criteria: a) no history of neurological disorder or head trauma, b) no current substance abuse, c) English as first language, d) between the ages of 18–65 years and e) predicted 86 N. Joshua et al. / Schizophrenia Research 114 (2009) 84–90 Table 1 Demographic and clinical characteristics of the three participant groups mean (standard deviation). Group Controls n = 44 Age 41.0 (12.0) Gender 22M 22F NART 111.8 (6.1) (predicted IQ) Age at illness onset (years) Illness duration (years) PANSS positive PANSS negative⁎ PANSS general PANSS total score Medication CPZe⁎⁎ BD n = 40 Schizophrenia n = 39 Comparisons 42.1 (11.5) 16M 24F 107.6 (10.3) 42.3 (10.7) 26M 13F 109.2 (9.4) F = 0.16 a χ2 = 5.74 b F = 2.54 a 22.3 (9.3) 23.7 (6.3) t = 0.78 c 19.8 (11.6) 18.7 (9.9) t = −0.44 c 10.4 (3.4) 9.2 (2.4) 22.4 (4.6) 42.0 (8.0) 291.2 (198.9) 11.5 (3.2) 11.6 (5.5) 23.5 (6.2) 46.4 (12.4) 494.3 (278.5) t = 1.46 c t = 2.59 c t = .90 c t = 1.87 c t = 2.81 c Note: NART: National Adult Reading Test; CPZe: Chlorpromazine equivalent; PANSS: Positive and Negative Symptom Scale. ⁎p b 0.05. ⁎⁎p b 0.01. a One-way ANOVA between three participant groups. b Pearson's Chi-Square test between three participant groups. c Independent samples t-test between two patient groups. IQ N80 as scored by the National Adult Reading Test (NART: Nelson and Willison, 1991). 2.2. Medication Schizophrenia patients were taking a higher dose of antipsychotic medication than the BD patients, as represented in equivalent mg of Chlorpromazine (CPZe) (Table 1). Of the schizophrenia patients, 26 were taking antipsychotic medication alone, eight were taking a combination of antipsychotic and antidepressant medications, one was taking an antidepressant alone, two were taking a combination of antipsychotic, antidepressant and mood stabiliser medications and two were medication free. Of the BD patients, one was taking antipsychotic medication alone, one was taking antidepressant medication alone, nine were taking mood stabiliser medication alone, one was taking a combination of antipsychotic and antidepressant medications, eight were taking a combination of antipsychotic and mood stabiliser medications, eight were taking a combination of antidepressant and mood stabiliser medications, six were taking a combination of antipsychotic, antidepressant and mood stabiliser medications and six were medication free. 2.3. Procedure The following procedure was approved by the Health Sciences Human Ethics Sub-Committee of The University of Melbourne and was carried out in accordance with the latest version of the Declaration of Helsinki. The HSCT took each participant approximately 5 min to complete (Burgess and Shallice, 1997). The task involved two sections; in each section the investigator read aloud 15 sentences with the last word omitted i.e. ‘The old house will be torn…’. In section one (response initiation), participants were required to complete the sentence sensibly as quickly as possible, i.e. ‘The old house will be torn… down’. In section 2 (response suppression), participants were required to nonsensically complete the sentence as quickly as possible by giving a word that does not fit in the context of the sentence, i.e. ‘The old house will be torn… banana’. This requires suppression or inhibition of the immediate response and then initiation of an alternative response. For each section the response latencies for the 15 sentences were recorded and summed to produce a total time. Participants were also scored on the number of errors for section two. Category A errors were scored when participants provided a sensible completion of the sentence, when the response should have been unconnected to the sentence, i.e. ‘Most cats see very well at… night’. The possible range for A errors was 0–15. Category B errors were scored when participants provided a word which was somewhat semantically related to the sentence but not a typical direct completion, i.e. ‘Most cats see very well at… midday’ or ‘Most cats see very well at… dogs’. The possible range for B errors was 0–10+. The total time scores and the number of errors were transformed into scaled scores (SS), according to the manual guidelines, and then summed to provide an overall SS ranging from 1 (impaired) to 10 (very superior). 2.4. Statistical analysis Demographic group differences were assessed via Pearson's Chi-Square tests or one-way between groups analysis of variance (ANOVA) with Bonferroni post-hoc tests. Clinical group differences were assessed via independent samples ttests. Task-related group differences were assessed via one-way between groups ANOVA with Bonferroni post-hoc tests. Analysis was performed on the Overall SS and on a number of measures based on response time and error pattern, including: sensible completion time (Section 1 SS; the time taken to initiate a response), unconnected completion time (Section 2 SS; the time taken to inhibit the natural response and initiate an alternative response), suppression time (total time Section 2–total time Section 1; the actual time taken for response inhibition), total errors (Section 2 error SS; the total number of errors produced), connected errors (A score: sensible completion of the sentence), somewhat connected errors (B score; semantically related completion of the sentence). Relationships between the HSCT measures and demographic and clinical characteristics were investigated using exploratory Pearson's product moment correlations with Bonferroni adjustment made for multiple comparisons. The relationship between gender and task performance was investigated via multivariate tests. 3. Results 3.1. Demographics As shown in Table 1, there was no significant difference in age, gender or predicted IQ between the three groups. There was no significant difference in age of illness onset or length of illness between the two patient groups. Schizophrenia patients scored significantly higher on the negative factor of N. Joshua et al. / Schizophrenia Research 114 (2009) 84–90 the PANSS, however there were no significant patient group differences for the positive factor, general factor or total PANSS scores. Overall, both patient groups were well matched and showed similar levels of psychopathology. 87 of their response than healthy control participants and BD patients; however this group difference did not reach significance (Table 2). 3.4. Response errors 3.2. SCT As indicated in Table 2, the analysis revealed significant differences in performance between schizophrenia patients, BD patients and control participants on measures of the HSCT. Firstly, the Overall SS is a total measure that combines response initiation and response suppression as well as error rate and provides a general indicator of task performance. Schizophrenia patients demonstrated significantly lower Overall SS (5.1 out of 10) than both the healthy control group (6.4) and the BD group (6.0); there were no significant differences between the BD group and the healthy control group. According to the classification guidelines (Burgess and Shallice, 1997), controls and BD patients consistently revealed ‘average’ performance (within the 50th percentile), whereas the schizophrenia patients performed at ‘moderate average’ levels (within the 25th percentile). Although schizophrenia patients had poorer performance, they were not considered to demonstrate any of the lower classifications, such as low average, poor, abnormal or impaired performance, as indicated in the task guidelines. 3.3. Response latency The time taken to simply initiate a sensible response to a sentence or to suppress a response and initiate an alternative response, was slower for schizophrenia patients compared to healthy controls as reflected by a significantly lower Section 1 SS and Section 2 SS, respectively. The BD group did not differ in performance compared to either healthy controls or schizophrenia patients (Table 2). Again, the standardised classification indicated that the healthy control group and the BD group demonstrate average performance and the schizophrenia group demonstrates moderate average performance. To investigate the actual time to inhibit a response while taking into account the time to initiate a response, a separate measure of suppression was created (suppression score: total time Section 2 in seconds–total time Section 1 in seconds). Group comparisons on this suppression measure revealed schizophrenia patients took longer for the actual suppression Analysis of the overall standardised measure of error (Section 2 error SS) indicated that the schizophrenia group made more response errors than the healthy control group. The BD group did not significantly differ in the rate of response error compared to the healthy control group or the schizophrenia group (Table 2). The standardised classification once again indicated average performance for the healthy control group and BD group and moderate average performance for the schizophrenia group. Upon investigation of the pattern of response errors shown by participants, analysis revealed schizophrenia patients demonstrated more connected errors (A errors) than the healthy control group. Further, schizophrenia patients also demonstrated significantly more semantically related errors (B errors) than both the healthy control group and the BD group who did not significantly differ from one another. As indicated in Table 2, the standard deviation of the schizophrenia group was particularly large for the number of B errors made. To investigate this spread of response, a plot of the raw data can be observed in Fig. 1. This figure indicates while there was a greater spread in the number of errors for schizophrenia patients, there are no definable subgroups. The spread is therefore most likely indicative of the heterogeneity in cognitive capacity common to schizophrenia samples. 3.5. HSCT performance correlations with demographic and clinical characteristics Analysis revealed only one correlation between predicted IQ and HSCT, this was in the BD patients between IQ and Section 1 SS (r = 0.56, p b 0.007). Similarly, there were no significant relationships between age and HSCT performance for the three participant groups, with one exception; age of healthy control participants was significantly correlated with the Section 2 SS (r = −0.42, p b 0.007). Analysis also revealed there was no overall relationship between gender and HSCT performance. Moreover, there was no interaction between gender and group for any of the HSCT measures, indicating Table 2 Comparison of schizophrenia patients and control participants on the HSCT mean (standard deviation). Overall scaled score (range 1–10) Section 1 scaled score (range 1–7) Section 2 scaled score (range 1–8) Suppression score (seconds) Section 2 error scaled score (range 1–8) A errors–Connected errors (range 0–15) B errors–unconnected errors (range 0–10+) Controls n = 44 BD n = 40 Schizophrenia n = 39 Comparisons a Post-hoc comparison 6.4 (1.2) 6.0 (0.8) 6.1 (0.8) 15.8 (16.8) 6.6 (1.5) 0.5 (0.8) 1.8 (1.8) 6.0 (1.3) 5.7 (0.9) 5.9 (0.9) 18.7 (25.4) 6.2 (2.1) 0.9 (1.4) 2.2 (2.2) 5.1 (1.5) 5.3 (1.3) 5.5 (1.0) 26.2 (25.8) 5.3 (2.3) 1.2 (1.4) 3.4 (2.6) F = 9.44⁎⁎⁎ F = 4.80⁎ F = 5.38⁎⁎ SZ b CTRL, BD SZ b CTRL SZ b CTRL F = 2.27, p = 0.11 F = 4.91⁎⁎ F = 3.29⁎ F = 6.44⁎⁎ SZ b CTRL SZ N CTRL SZ N CTRL, BD SZ: Schizophrenia, CTRL: Healthy control, BD: Bipolar disorder. ⁎p b 0.05. ⁎⁎p b 0.01. ⁎⁎⁎p b 0.001. a Comparisons refer to one-way ANOVA between three participant groups with Bonferroni Post-hoc tests. 88 N. Joshua et al. / Schizophrenia Research 114 (2009) 84–90 Fig. 1. Plot of the raw data corresponding to the number of B errors (range = 0–10+) made by schizophrenia patients, bipolar disorder patients and control participants. males and females from the three different groups performed similarly to one another. For the schizophrenia and BD patients, there were no significant correlations between medication, illness duration, or PANSS ratings with the HSCT measures. One of the most significant findings of this data is that of elevated semantic errors in the schizophrenia group. There is a prominent literature that has established that schizophrenia patients with delusions (Rossell et al., 1999) and/or thought disorder (Rossell and Stefanovic, 2007) are the most likely to show semantic errors. These relationships were investigated in the current study. For the schizophrenia patients there were no significant correlations between the PANSS rating P1 (delusions) and the HSCT measures, there were however correlations for the PANSS rating P2 (conceptual disorganisation) (r = .34–.41, p b .05). There were no apparent P1 or P2 correlations for the BD patients. 4. Discussion To our knowledge this is the first study to report comprehensive HSCT data in schizophrenia patients with the inclusion of both psychiatric and non-psychiatric control groups for comparison. Consistent with expectations, schizophrenia patients' revealed impaired performance compared to healthy control participants. Discordant with expectations the BD patients were more similar in their performance to the healthy controls than the schizophrenia group. As expected, overall HSCT performance of the schizophrenia group was lower than that of the healthy control group. This impairment in performance was further observable on each specific aspect of the HSCT. Schizophrenia patients exhibited longer average response latency for simple response initiation and response suppression, and demonstrated an increased rate of response error (as also reported in Groom et al., 2008; Nathaniel-James et al., 1996; Waters et al., 2003). These results indicate that not only did the schizophrenia group show a slowing in baseline response initiation, but there was also slowing of the suppression of the response. The suppression of an inappropriate response is thought to engage the Supervisory Attentional System (SAS) which controls intentional cognitive processes (Shallice, 1988), involving prefrontal cortical activation. Indeed, the HSCT promotes activation in the prefrontal cortex (Collette et al., 2001), and the deficits in performance on the HSCT shown by schizophrenia patients have been related to functional abnormalities in prefrontal cortical regions (Whalley et al., 2004). Inspection of the error rate data indicated that compared to healthy controls, schizophrenia patients exhibited more errors that were sensible completions of the sentence (A errors) as well as more errors that were semantically related to the sentence (B errors). Interestingly, upon inspection of the actual responses given by the schizophrenia patients, it appeared they did not utilise the strategies commonly employed by the control participants, including providing sentence completions from items around the room, or all from one particular semantic category. This is consistent with previous literature that has reported impaired strategy utilisation in schizophrenia (Kim et al., 2007). It also relates to research that has shown schizophrenia patients are more likely to produce semantically or associated errors to simple questions (Rossell and Batty, 2008). The actual responses given by the schizophrenia patients were examined for any consistencies in incorrect responses. There was no obvious pattern to the incorrect responses. There were, however, some consistent errors within several items. For example, for the sentence “Most cats see very well at…”, the majority of the schizophrenia patients who demonstrated a B category error, responded with the name of an animal e.g. dog. Another example can be observed for the sentence “The whole town came to hear the mayor…”. The majority of the schizophrenia patients who demonstrated a B error, responded with a sound e.g. sing. These B category errors were clearly connected to the sentence, often being fairly concrete, semantically related responses. However, it must be noted such a consistent pattern was only found for approximately one third of sentences, thus response errors were context-dependent and variable. A hallmark feature of schizophrenia is formal thought disorder, whereby patients show disorganised, tangential and illogical thought often reflected by incoherent speech (American Psychiatric Association, 2000). There are a number of studies that have suggested that thought disorder is a N. Joshua et al. / Schizophrenia Research 114 (2009) 84–90 product of impaired planning and response inhibition, and thus is related to performance on executive function tasks (i.e. Kerns and Berenbaum, 2002). Our results did indicate a tendency for schizophrenia patients who scored higher on the PANSS measure of thought disorder (P2), to demonstrate greater impairment on the task. However, the current sample, in general, only showed low ratings on the P2 variable, making conclusions difficult to draw. This could be a point of interest for future studies, involving patients with greater thought disorder. The error data, and the relationship of the task with thought disorder, do highlight the possibility that some language disturbances in schizophrenia may be the product of faulty executive control, implying that some positive symptoms of psychosis may be better described as cognitive deficits. Interestingly, the same frontal circuitry has been implicated in ‘at risk’ psychosis patients for HCST (Whalley et al., 2008) and executive language measures (verbal fluency, Broome et al., 2009). The results of the current study clearly indicated that schizophrenia patients showed impaired performance compared to the healthy control group. Interestingly, however, the schizophrenia group also showed impairment when the overall performance score and the number of B errors was compared to the psychiatric control group of BD patients. Both patient groups were matched on age at illness onset, illness duration and total PANSS rating, further there were no significant correlations between these measures and task performance. Consequently, the deficits shown by the schizophrenia patients appear to be specific to the diagnosis rather than reflecting these other psychopathological characteristics. To our knowledge, this is the first study to make detailed comparisons between schizophrenia and BD patients on the HSCT measures of response initiation, response suppression and response error. While McIntosh et al. (2005) compared both patient groups, only overall performance measures were reported with limited depth of analysis. The current results are in agreement with a recent neuroimaging paper that revealed schizophrenia and BD patients demonstrate different frontal activation patterns during an adapted HSCT paradigm (McIntosh et al., 2008). The schizophrenia group showed reduced activation in the left dorsolateral prefrontal cortex, and the BD group showed increased activation in this area. This suggests that the cognitive profile and neurobiological substrates are different in schizophrenia and BD. The present data also revealed that the BD patients did not differ in HSCT performance compared to the healthy control participants. This finding was contrary to our hypothesis as well as previous studies utilising the HSCT in BD (Dixon et al., 2004; Stoddart et al., 2007). There has however, been one other study to show intact HCST in BD (Rocca et al., 2008). Inspection of the demographic and clinical characteristics did not reveal any clearly differentiating variables to explain why some studies reveal impaired performance by BD patients and others reveal intact performance. The BD patients in the current sample were tested during a euthymic state. Euthymic patients have demonstrated both impaired performance (Dixon et al., 2004) and intact performance (Rocca et al., 2008) in the literature. One potential conclusion is that the discrepant findings may be due to procedural, instructional and/or scoring differences between studies. Interestingly, 89 category fluency has also reported to be intact in BD (Rossell, 2006); with BD patients producing no out of category errors. Category fluency is certainly a comparable task, both requiring a verbal response, speech planning and response suppression of inappropriate responses: again, highlighting the parallels with some executive function and language tasks. One potential limitation of this study was that the schizophrenia and BD patient groups were not matched on dose of antipsychotic medication and were taking a different range of medications. Although there is considerable overlap between the two disorders, a difference in medication was expected; the illness presentation for schizophrenia and BD is distinctly different and accordingly require different courses of treatment. As the medication characteristics were not matched for the two groups, it may be possible that pharmaceutical treatment impacted on task performance. Indeed, previous work has shown that antipsychotic medication can adversely affect cognitive skill when given to healthy control participants (Peretti et al., 1997). The current results, however, indicated no significant correlations between medication and task performance, therefore it is unlikely the impairment demonstrated by schizophrenia patients was a result of medication effects. Previous findings in schizophrenia (McIntosh et al., 2005) and BD patients (Stoddart et al., 2007) have suggested performance appears relatively independent of medication. The current study revealed schizophrenia patients show a clear slowing in response initiation as well as problems with suppression of response. These deficits do not appear secondary to the illness as they remain evident when compared to individuals sharing similar characteristics resultant of psychiatric illness. Response suppression is a key feature of executive functioning, and is an aspect of neurocognitive functioning that is crucial to carrying out dayto-day tasks. A review of the schizophrenia literature shows that neurocognitive ability is clearly linked to functional outcome (Green, 1996; Green et al., 2000). Interestingly, the relationship between neurocognitive impairment and functional outcome appears much stronger than that between psychotic symptomatology and functional outcome. This provides direct implication for targeted neurocognitive remediation strategies for schizophrenia (Medalia and Lim, 2004). Further, considering the wide heterogeneity in neurocognitive performance in schizophrenia, it may be appropriate to tailor remediation tools to an individual's cognitive strengths and weaknesses (Green et al., 2000). Role of funding source Nicole Joshua was funded by the Sir Robert Menzies Memorial Research Scholarship for Allied Health Sciences from The Menzies Foundation. Further, Andrea Gogos was supported by a National Health and Medical Research Council (NHMRC) fellowship (ID 435690). This research was also supported by Operational Infrastructure Support (OIS) from the Victorian State Government. The funding bodies had no further role in study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the paper for publication. Contributors Authors Nicole Joshua and Andrea Gogos designed the study and collected the data. Nicole Joshua managed literature searches, undertook the statistical analysis and wrote the first draft of the manuscript. Andrea Gogos provided thorough edits to the first draft of the manuscript. Author 90 N. Joshua et al. / Schizophrenia Research 114 (2009) 84–90 Susan Rossell managed the study design, data collection and data analysis and edited the first draft of the manuscript. All authors contributed to and have approved the final manuscript. Conflict of interest The authors declare they have no conflicts of interest. Acknowledgements The authors would like to acknowledge the Menzies Foundation and the National Health and Medical Research Council (NHMRC) for the financial support of Nicole Joshua and Andrea Gogos. Many thanks also go to Alison O'Regan for assistance with some of the clinical interviewing and Prof David Castle for assistance with patient recruitment. References American Psychiatric Association, 2000. Diagnostic and Statistical Manual of Mental Disorders (4th edn., text revision) (DSM-IV-TR). American Psychiatric Press, Inc., Washington DC. Bearden, C.E., Hoffman, K.M., Cannon, T.D., 2001. The neuropsychology and neuroanatomy of bipolar affective disorder: a critical review. Bipolar Disord. 3(3), 106–150; discussion 151–103. Broome, M.R., Matthiasson, P., Fusar-Poli, P., Woolley, J.B., Johns, L.C., Tabraham, P., Bramon, E., Valmaggia, L., Williams, S.C., Brammer, M.J., Chitnis, X., McGuire, P.K., 2009. Neural correlates of executive function and working memory in the ‘at-risk mental state’. Br. J. Psychiatry 194 (1), 25–33. Burgess, P.W., Shallice, T., 1996. Response suppression, initiation and strategy use following frontal lobe lesions. Neuropsychologia 34 (4), 263–272. Burgess, P.W., Shallice, T., 1997. The Hayling and Brixton Tests. Thames Valley Test Company, Bury St, Edmunds, England. Byrne, M., Hodges, A., Grant, E., Owens, D.C., Johnstone, E.C., 1999. Neuropsychological assessment of young people at high genetic risk for developing schizophrenia compared with controls: preliminary findings of the Edinburgh High Risk Study (EHRS). Psychol. Med. 29 (5), 1161–1173. Censits, D.M., Ragland, J.D., Gur, R.C., Gur, R.E., 1997. Neuropsychological evidence supporting a neurodevelopmental model of schizophrenia: a longitudinal study. Schizophr. Res. 24 (3), 289–298. Chan, R.C., Chen, E.Y., Cheung, E.F., Cheung, H.K., 2004. Executive dysfunctions in schizophrenia. Relationships to clinical manifestation. Eur. Arch. Psychiatry Clin. Neurosci. 254 (4), 256–262. Collette, F., Van der Linden, M., Delfiore, G., Degueldre, C., Luxen, A., Salmon, E., 2001. The functional anatomy of inhibition processes investigated with the Hayling task. NeuroImage 14 (2), 258–267. Dixon, T., Kravariti, E., Frith, C., Murray, R.M., McGuire, P.K., 2004. Effect of symptoms on executive function in bipolar illness. Psychol. Med. 34 (5), 811–821. Elvevag, B., Goldberg, T.E., 2000. Cognitive impairment in schizophrenia is the core of the disorder. Crit. Rev. Neurobiol. 14 (1), 1–21. Evans, J.J., Chua, S.E., McKenna, P.J., Wilson, B.A., 1997. Assessment of the dysexecutive syndrome in schizophrenia. Psychol. Med. 27 (3), 635–646. Faraone, S.V., Seidman, L.J., Kremen, W.S., Pepple, J.R., Lyons, M.J., Tsuang, M.T., 1995. Neuropsychological functioning among the nonpsychotic relatives of schizophrenic patients: a diagnostic efficiency analysis. J. Abnorm. Psychology 104 (2), 286–304. First, M.B., Spitzer, R.L., Gibbon, M., Williams, J.B., 1996. Structured Clinical Interview for DSM-IV Axis I Disorders, Clinician Version (SCID-CV). American Psychiatric Press, Washington, D.C. Goldberg, T.E., Greenberg, R.D., Griffin, S.J., Gold, J.M., Kleinman, J.E., Pickar, D., Schulz, S.C., Weinberger, D.R., 1993. The effect of clozapine on cognition and psychiatric symptoms in patients with schizophrenia. Br. J. Psychiatry 162, 43–48. Green, M.F., 1996. What are the functional consequences of neurocognitive deficits in schizophrenia? Am. J. Psychiatry 153 (3), 321–330. Green, M.F., Kern, R.S., Braff, D.L., Mintz, J., 2000. Neurocognitive deficits and functional outcome in schizophrenia: are we measuring the “right stuff”? Schizophr. Bull. 26 (1), 119–136. Groom, M.J., Jackson, G.M., Calton, T.G., Andrews, H.K., Bates, A.T., Liddle, P.F., Hollis, C., 2008. Cognitive deficits in early-onset schizophrenia spectrum patients and their non-psychotic siblings: a comparison with ADHD. Schizophr. Res. 99 (1–3), 85–95. Kay, S.R., Fiszbein, A., Opler, L.A., 1987. The Positive and Negative Syndrome Scale (PANSS) for schizophrenia. Schizophr. Bull. 13, 261–276. Kerns, J.G., Berenbaum, H., 2002. Cognitive impairments associated with formal thought disorder in people with schizophrenia. J. Abnorm. Psychology 111 (2), 211–224. Kim, H., Lee, D., Shin, Y.M., Chey, J., 2007. Impaired strategic decision making in schizophrenia. Brain Res. 1180, 90–100. Laws, K.R., Patel, D.D., Tyson, P.J., 2008. Awareness of everyday executive difficulties precede overt executive dysfunction in schizotypal subjects. Psychiatry Res. 160 (1), 8–14. Loughland, C.M., Lewin, T.J., Carr, V.J., Sheedy, J., Harris, A.W., 2007. RBANS neuropsychological profiles within schizophrenia samples recruited from non-clinical settings. Schizophr. Res. 89 (1–3), 232–242. Marczewski, P., Van der Linden, M., Laroi, F., 2001. Further investigation of the Supervisory Attentional System in schizophrenia: planning, inhibition, and rule abstraction. Cogn. Neuropsychiatry 6 (3), 175–192. McIntosh, A.M., Harrison, L.K., Forrester, K., Lawrie, S.M., Johnstone, E.C., 2005. Neuropsychological impairments in people with schizophrenia or bipolar disorder and their unaffected relatives. Br. J. Psychiatry 186, 378–385. McIntosh, A.M., Whalley, H.C., McKirdy, J., Hall, J., Sussmann, J.E., Shankar, P., Johnstone, E.C., Lawrie, S.M., 2008. Prefrontal function and activation in bipolar disorder and schizophrenia. Am. J. Psychiatry 165 (3), 378–384. Medalia, A., Lim, R., 2004. Treatment of cognitive dysfunction in psychiatric disorders. J. Psychiatr. Pract. 10 (1), 17–25. Morice, R., Delahunty, A., 1996. Frontal/executive impairments in schizophrenia. Schizophr. Bull. 22 (1), 125–137. Nathaniel-James, D.A., Brown, R., Ron, M.A., 1996. Memory impairment in schizophrenia: its' relationship to executive function. Schizophr. Res. 21 (2), 85–96. Nelson, H.E., Willison, J., 1991. National Adult Reading Test manual. NFERNelson, Windsor. Peretti, C.S., Danion, J.M., Kauffmann-Muller, F., Grange, D., Patat, A., Rosenzweig, P., 1997. Effects of haloperidol and amisulpride on motor and cognitive skill learning in healthy volunteers. Psychopharmacology (Berl.) 131 (4), 329–338. Rocca, C.C.A., Macedo-Soares, M.B., Gorenstein, C., Tamada, R.S., Isller, C.K., Dias, R.S., Almeida, K.M., Schwartzmann, A.M., Amaral, J.A., Lafer, B., 2008. Verbal fluency dysfunction in euthymic bipolar patients: a controlled study. J. Affect. Disord. 107 (1–3), 187–192. Rossell, S.L., 2006. Category fluency performance in patients with schizophrenia and bipolar disorder: the influence of affective categories. Schizophr. Res. 82 (2–3), 135–138. Rossell, S.L., Stefanovic, A., 2007. Semantic priming effects in schizophrenia. Curr. Psychiatr. Rev. 3, 137–145. Rossell, S.L., Batty, R.A., 2008. Elucidating semantic disorganisation from a word comprehension task: do patients with schizophrenia and bipolar disorder show differential processing of nouns, verbs and adjectives? Schizophr. Res. 102 (1–3), 63–68. Rossell, S.L., Rabe-Hesketh, S.S., Shapleske, J.S., David, A.S., 1999. Is semantic fluency differentially impaired in schizophrenic patients with delusions? J. Clin. Exp. Neuropsychol. 21 (5), 629–642. Saykin, A.J., Shtasel, D.L., Gur, R.E., Kester, D.B., Mozley, L.H., Stafiniak, P., Gur, R.C., 1994. Neuropsychological deficits in neuroleptic naive patients with firstepisode schizophrenia. Arch. Gen. Psychiatry 51 (2), 124–131. Shallice, T., 1988. From Neuropsychology to Mental Structure. CUP, Cambridge. Stoddart, S.D., Craddock, N.J., Jones, L.A., 2007. Differentiation of executive and attention impairments in affective illness. Psychol. Med. 37 (11),1613–1623. Waters, F.A., Badcock, J.C., Maybery, M.T., Michie, P.T., 2003. Inhibition in schizophrenia: association with auditory hallucinations. Schizophr. Res. 62 (3), 275–280. Whalley, H.C., Simonotto, E., Flett, S., Marshall, I., Ebmeier, K.P., Owens, D.G., Goddard, N.H., Johnstone, E.C., Lawrie, S.M., 2004. fMRI correlates of state and trait effects in subjects at genetically enhanced risk of schizophrenia. Brain 127 (Pt 3), 478–490. Whalley, H.C., Gountouna, V.E., Hall, J., McIntosh, A.M., Simonotto, E., Job, D.E., Owens, D.G., Johnstone, E.C., Lawrie, S.M., 2008. fMRI changes over time and reproducibility in unmedicated subjects at high genetic risk of schizophrenia. Psychol. Med. 1–11.