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The role of cognitive functioning in the outcome of those at clinical high risk for developing psychosis

Published online by Cambridge University Press:  30 July 2012

J. Addington*
Affiliation:
Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada
M. Barbato
Affiliation:
Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada
*
*Address for correspondence: J. Addington, Centre for Mental Health Research and Education, University of Calgary, 3280 Hospital Drive NW, Calgary, Alberta T2N 4Z6, Canada. (E-mail: [email protected])
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Abstract

Although it is well established that cognitive impairment is a common feature of schizophrenia, only recently has cognitive functioning been prospectively studied in individuals at clinical high risk (CHR) for developing psychosis. To date, both cross-sectional and longitudinal studies have been conducted in the CHR population and in the context of later conversion to psychosis. A comprehensive review of the literature suggests that CHR individuals have general and specific baseline cognitive deficits compared to healthy controls. As a group, their cognitive course, tends to remain stable over time and in this way does not differ from healthy controls. For those who go on to develop a full-blown psychotic illness compared to those who do not convert, there appeared to be minimal differences at baseline with respect to cognition, although over time the converters may show deterioration in certain cognitive abilities compared to the non-converters. However, for many cognitive domains results are mixed, and may result from methodological limitations.

Type
Editorials
Copyright
Copyright © Cambridge University Press 2012

Introduction

Cognitive deficits are considered to be a core symptom of schizophrenia in that they precede the presentation of clinical symptoms (Reichenberg, Reference Reichenberg2010), and can impact functioning (Green et al. Reference Green, Kern and Heaton2004). Cognition tends to remain relatively stable over the course of the illness, at most improving modestly, with those at the first episode exhibiting impairment of a similar severity to those with a more chronic course of illness (Mesholam-Gately et al. Reference Mesholam-Gately, Giuliano, Goff, Faraone and Seidman2009).

It is possible that some of the cognitive impairment that occurs in schizophrenia is already present before the first episode (Jones et al. Reference Jones, Rodgers, Murray and Marmot1994). The increase in prospective research (Addington & Heinssen, Reference Addington and Heinssen2012) which examines individuals who are at clinical high risk (CHR) for developing psychosis, offers an excellent opportunity to determine whether there is evidence of cognitive impairment prior to the onset of fully blown psychosis. In an earlier comprehensive review of 17 studies, Brewer and colleagues (Brewer et al. Reference Brewer, Wood, Phillips, Francey, Pantelis, Yung, Cornblatt and McGorry2006) reported that the association between cognition and emerging psychosis was not well understood. These authors highlighted a lack of consistency in the literature, with contrasting results about the putatively impaired cognitive domains. However, they did conclude that general cognitive ability appeared to remain intact and was a poor predictor of developing psychosis. We have updated Brewer's review of 2006 to determine the impact of the increased attention to cognition for those at CHR of psychosis to determine whether we have an increased understanding of the role of cognition on outcome for these young CHR individuals.

Methods

Cognitive studies in CHR populations were identified through computerized searches of Pubmed, Medline and PsychINFO bibliographic databases. The terms searched included combinations of: prodromal, prodrome, ultra high risk, clinical high risk, neurocognition, cognition, neurocognitive, cognitive, neuropsychological and neuropsychology. Since the Brewer review was published in 2006 (Brewer et al. Reference Brewer, Wood, Phillips, Francey, Pantelis, Yung, Cornblatt and McGorry2006), we have only included studies published between June 2006 and December 2011. Studies were included if participants were identified as being at CHR, UHR or prodromal, if they had evidence of basic symptoms, or if specific criteria or measures were used and described to make this diagnosis. Acceptable criteria and measures included: the Criteria oF Prodromal Syndromes (COPS) criteria based on the Structured Interview for Prodromal Syndromes (McGlashan et al. Reference McGlashan, Walsh and Woods2010), the Personal Assessment and Crisis Evaluation (PACE) criteria based on the Comprehensive Assessment of an At Risk Mental State (CAARMS) (Yung et al. Reference Yung, Phillips, McGorry, McFarlane, Francey, Harrigan, Patton and Jackson1998), the Basel Screening Instrument for Psychosis (BSIP) (Riecher-Rossler et al. Reference Riecher-Rossler, Gschwandtner, Aston, Borgwardt, Drewe, Fuhr, Pfluger, Radu, Schindler and Stieglitz2007)/Brief Psychiatric Rating Scale (BPRS) (Ventura et al. Reference Ventura, Lukoff, Nuechterlein, Liberman, Green and Shaner1993), specific DSM-III-R prodromal symptoms (Jackson et al. Reference Jackson, McGorry and Dudgeon1995), the Bonn Scale for the Assessment of Basic Symptoms (BSABS) (Vollmer-Larsen et al. Reference Vollmer-Larsen, Handest and Parnas2007), the Schizophrenia Prediction Instrument-Adult Version (SPI-A) (Klosterkotter et al. Reference Klosterkotter, Schultze-Lutter, Wieneke, Picker and Steinmeyer2001), the Early Recognition Inventory/Interview for the Retrospective Assessment of the Onset of Schizophrenia (ERIraos) (Hafner et al. Reference Hafner, Maurer, Ruhrmann, Bechdolf, Klosterkotter, Wagner, Maier, Bottlender, Moller, Gaebel and Wolwer2004) and the Cognitive Assessment and Risk Evaluation (CARE) program criteria (Eastvold et al. Reference Eastvold, Heaton and Cadenhead2007). Studies were excluded if they included frankly psychotic or genetic high-risk participants (without clinical symptoms or functional decline) mixed into their CHR, UHR or prodromal sample (Cosway et al. Reference Cosway, Byrne, Clafferty, Hodges, Grant, Abukmeil, Lawrie, Miller and Johnstone2000; Myles-Worsley et al. Reference Myles-Worsley, Ord, Ngiralmau, Weaver, Blailes and Faraone2007).

Results

The literature search yielded 23 publications that were deemed appropriate for review. These are presented in Table 1. Some studies are cross-sectional, whereas others are longitudinal. Some studies compared the performance of the CHR group with that of healthy controls, whereas others compared the performance of CHR individuals who later converted to psychosis to that of CHR individuals who did not convert.

Table 1. Studies of cognition in individuals at CHR for psychosis

Note: *, Longitudinal studies; IQ, intelligence quotient; RPMIP, Royal Park multidiagnostic instrument for psychosis; BSABS, Bonn scale for the assessment of basic symptoms; ERIraos, early recognition inventory/interview for the retrospective assessment of the onset of schizophrenia; CAARMS, comprehensive assessment of at risk mental state; SIPS, structured interview for prodromal syndromes; SOPS, scale of prodromal symptoms; ICD, international classification of diseases; BSIP, Basel screening instrument for psychosis; BPRS, brief psychiatric rating scale; HSC, help seeking controls; NART, national adult reading test; WRAT, wide range achievement test; CPT-IP, continuous performance test-identical pairs; CVLT, California verbal learning test; RAVLT, Rey auditory verbal learning test; HVLT, Hopkins verbal learning test; VIDA, variable interval delayed alternation; LPS, performance test system; MWT, multiple choice vocabulary intelligence test; WCST, Wisconsin card sorting test; TAP, test of attentional performance; WISC/WAIS, Wechsler intelligence scale for children/Wechsler adult intelligence scale; B-SIT, brief smell identification test; UPSIT, university of Pennsylvania smell identification test; †, unpublished data.

In a few of these publications, the CHR group was divided into two groups, usually on the basis of the severity of symptoms. The less severe group typically met what are known as basic symptoms while the more severe group met criteria for either an Attenuated Positive Symptom Syndrome or a Brief Intermittent Psychotic Syndrome. In such cases only data from the more severe group, i.e., those meeting the more typical criteria were considered in the review. The summary of the results presented below are based on the 23 studies reviewed and listed in Table 1.

Comparison of CHR individuals with healthy controls

There is increasing evidence from the studies reviewed that compared to healthy controls CHR individuals are significantly impaired in cognition when a composite cognitive score is considered. Otherwise, there is some evidence suggesting impairment in specific domains of cognition but for most domains of cognition results are mixed. For example about half of the studies we reviewed that assessed intelligence reported significant impairment in verbal intelligence in the CHR group, while the remainder found no difference. However, there was less evidence of non-verbal IQ impairment in this population.

Impaired verbal memory was reported in eight studies using a range of tasks such as list learning and the Wechsler Memory Scale Logical Memory subtest, but five studies did not support this finding. Interestingly, the majority of studies do not support a difference in visual memory (Niendam et al. Reference Niendam, Bearden, Johnson, McKinley, Loewy, O'Brien, Nuechterlein, Green and Cannon2006, Reference Niendam, Bearden, Zinberg, Johnson, O'Brien and Cannon2007; Pukrop et al. Reference Pukrop, Schultze-Lutter, Ruhrmann, Brockhaus-Dumke, Tendolkar, Bechdolf, Matuschek and Klosterkotter2006; Becker et al. Reference Becker, Nieman, Wiltink, Dingemans, van de Fliert, Velthorst, De, van Amelsvoort and Linszen2010b; Lindgren et al. Reference Lindgren, Manninen, Laajasalo, Mustonen, Kalska, Suvisaari, Moilanen, Cannon, Huttunen and Therman2010). Both verbal and visuo-spatial working-memory deficits have frequently been reported in the CHR population (Brewer et al. Reference Brewer, Wood, Phillips, Francey, Pantelis, Yung, Cornblatt and McGorry2006); however, recent results are inconsistent with four to five studies demonstrating working-memory deficits and the same number reporting no differences. Similar results are observed for processing speed, sustained attention, executive functioning and fine motor function with several studies reporting impairment in the CHR group and several failing to highlight a difference between CHR and healthy control groups. The one exception was verbal fluency for which impairment has been consistently observed.

Thus, the results from a comprehensive selection of studies comparing CHR individuals with healthy controls on the majority of cognitive tasks are consistently contradictory. It is possible that the inconsistency can be accounted for by the use of different tasks across different studies; for example, tests such as digit symbol coding are known to be sensitive for the detection of subtle impairment, while others may have limited sensitivity. Nonetheless, this is not always the case as contrasting results often come from studies that used the same measure.

Conversion to psychosis

One of the important aims of CHR research is to discover predictors of developing psychosis. Several studies compared baseline scores of those CHR participants who went on to develop psychosis to those who did not. Unfortunately, once again consistent results are rare. There are reports that those who converted were significantly impaired on a composite score of cognition or had lower verbal IQ but in each case there are contradictory studies. There is support for poorer performance on tests of verbal memory, verbal fluency and processing speed for those who converted, but this was not consistently supported. However, results supporting a lack of significant difference in visual memory, verbal or spatial working memory, executive functioning, attention or finger tapping between the converters and non-converters are consistently reported. Studies are limited but there is indication that converters are more impaired in olfaction (Woodberry et al. Reference Woodberry, Seidman, Giuliano, Verdi, Cook and McFarlane2010). Thus, it may be that, in general, those who convert do have more cognitive impairment but this is not always reported and not for specific tasks.

One possibility is that although, in several studies there is little to differentiate converters from non-converters, at baseline those who do convert may evidence some cognitive decline over time. At this stage longitudinal research is limited, but most studies found that cognitive functioning in both converters and non-converters remains stable over time and that the cognitive course of these two groups does not differ from one another.

Discussion

In this article, we drew our conclusions from the review of 23 recent studies published in the last 6 years that assessed cognition in individuals at CHR for developing psychosis. Some general conclusions can be drawn from the studies reviewed and presented in Table 1. First, individuals at CHR for psychosis, as a group, demonstrate impairment in cognition relative to healthy controls when a composite score created by factor analysis is used as well as on a few individual cognitive tasks, specifically verbal fluency and olfaction. Second, from the longitudinal studies that exist cognitive functioning appears to remain stable over time for some aspects but to date there is not a great deal of evidence to suggest a decline. Third, with respect to conversion, there do not seem to be any tasks that consistently differentiate the converters from the non-converters, although often those who convert tend to have lower verbal IQ, verbal memory, verbal fluency and speed of processing. Results comparing the longitudinal course of cognitive functioning between those who convert and those who do not are inconsistent. However, longitudinal studies are rare and the available data do not allow solving the controversial issue of whether there is a decline in cognition during the prodromal period or whether the decline occurs post the development of psychosis. It is not unreasonable to assume that as individuals developed psychosis there would be a decline in cognition since it has been demonstrated that CHR individuals exhibit cognitive impairment intermediate between first episode patients and healthy controls (Brewer et al. Reference Brewer, Wood, Phillips, Francey, Pantelis, Yung, Cornblatt and McGorry2006). However, current data are unable to demonstrate when that decline may occur. Perhaps further work needs to follow converters cognitively longitudinally once psychosis has been established.

Overall, our results are consistent with those previously published by Brewer et al. (Reference Brewer, Wood, Phillips, Francey, Pantelis, Yung, Cornblatt and McGorry2006). Interestingly, since our review, there has been published in 2012 two meta-analyses (Giuliano et al. Reference Giuliano, Li, Mesholam-Gately, Sorenson, Woodberry and Seidman2012; Fusar-Poli et al. Reference Fusar-Poli, Deste, Smieskova, Barlati, Yung, Howes, Stieglitz, Vita, McGuire and Borgwardt2012a). The first meta-analysis (Giuliano et al. Reference Giuliano, Li, Mesholam-Gately, Sorenson, Woodberry and Seidman2012) suggests small-to-medium impairments across nine of ten cognitive domains. Furthermore, for those who developed psychosis their baseline performance was generally more impaired than those who did not convert. The more specific results of the paper by Giuliano et al. may be due to a narrower selection of studies, i.e. only 14 studies that appear to be with samples that met the criteria based on the SIPS or CAARMS and to the fact that cognitive tasks were grouped into cognitive domains. The second meta-analysis by Fusar-Poli et al. Reference Fusar-Poli, Deste, Smieskova, Barlati, Yung, Howes, Stieglitz, Vita, McGuire and Borgwardt(2012a) using 18 studies (although three of the studies only contained measures of social cognition) suggests that CHR participants were impaired on tests of general intelligence, executive functioning, verbal and visual memory, attention and working memory. Later, transition to psychosis was associated with poorer verbal fluency and memory. Unlike the earlier meta-analysis, papers with participants meeting the basic symptom criteria were included. This paper focused mainly on cross-sectional studies but did investigate moderators. They found no effect for year of publication, exposure to antipsychotics, age and sex.

Taken together these results offer some preliminary insights into the neurodevelopmental trajectory of psychosis. The finding that CHR individuals present in many studies with cognitive impairment suggests that these young individuals may already exhibit neural abnormalities, possibly in the prefrontal cortex given its association with most of the discussed cognitive abilities (Fuster, Reference Fuster2001). Moreover, functional imaging studies have consistently found prefrontal cortical dysfunction during cognitive tasks in CHR individuals (Benetti et al. Reference Benetti, Mechelli, Picchioni, Broome, Williams and McGuire2009; Broome et al. Reference Broome, Matthiasson, Fusar-Poli, Woolley, Johns, Tabraham, Bramon, Valmaggia, Williams, Brammer, Chitnis and McGuire2009; Crossley et al. Reference Crossley, Mechelli, Fusar-Poli, Broome, Matthiasson, Johns, Bramon, Valmaggia, Williams and McGuire2009). Although not consistently demonstrated, there is evidence of greater impairment for those who go on to develop psychosis compared with those who do not.

Some of the inconsistency may result from several limitations. Firstly, sample sizes tended to be relatively small, especially for longitudinal studies, although the meta-analysis with larger samples was more supportive of the results of our review. Secondly, some of the longitudinal studies had somewhat short follow-up periods, typically ranging from 6 to 18 months, which certainly at the lower end may not be long enough to determine conversions. This is particularly relevant since the risk of transition to psychosis seems to increase with the duration of the follow-up period (Fusar-Poli et al. Reference Fusar-Poli, Bonoldi, Yung, Borgwardt, Kempton, Valmaggia, Barale, Caverzasi and McGuire2012b). Thirdly, the rate of participant drop out is relatively high, and it may be that those who drop out may experience a different clinical or cognitive course. Fourthly, a variable rate of participants medicated with antipsychotics was reported in some studies. However, this did not seem to account for the inconsistent results as in most of these studies additional analyses were conducted to exclude any correlation between cognitive performance and the use of antipsychotics, with only one study reporting an influence of olanzapine on visual memory (Hawkins et al. Reference Hawkins, Keefe, Christensen, Addington, Woods, Callahan, Zipursky, Perkins, Tohen, Breier and McGlashan2008).

Fifthly, there is a wide variation in tasks used across the different studies, with some being potentially more sensitive for detection of subtle impairment. It is also possible that low performance in cognitive tests may reflect an impairment in general intellectual ability more than deficits in specific domains (Abubaker et al. Reference Abubaker, Alaerts, Allman, Barnett, Belujon, Bittner, Burne, Cahn, Chance, Cherkerzian, deSouza, Di Forti, du Bois, Fatjó-Vilas, Green, Halpern, John, Kemp, Koelkebeck, Lee, Lodge, Michalopoulou, Mompremier, Nelson, Perälä, Rotarska-Jagiela, Schoeman, Thakkar, Valuri, Varambally, Zai and DeLisi2008). Moreover, as Brewer et al. (Reference Brewer, Wood, Phillips, Francey, Pantelis, Yung, Cornblatt and McGorry2006) pointed out, some cognitive domains are neuropsychologically complex, each including discrete sub-processes which may be compromised in a different way, and therefore further examination of the sub-processes involved in each task is still needed.

Finally, the lack of homogeneity within the CHR group may partially explain this pattern of results. In fact, outcomes from recent studies with longer follow-up periods (at least 2 years) suggest that help-seeking individuals who meet CHR criteria cluster into several groups, some of them developing a psychotic illness, others remitting from their symptoms, others improving modestly, (Addington et al. Reference Addington, Cornblatt, Cadenhead, Cannon, McGlashan, Perkins, Seidman, Tsuang, Walker, Woods and Heinssen2011), and that at least one-third of individuals identified as CHR are likely to represent false positives (Schlosser et al. Reference Schlosser, Jacobson, Chen, Sugar, Niendam, Li, Bearden and Cannon2011).

In summary, given the limited nature of the current available results, further research is required before the role of cognition in the prediction of psychosis can be well understood. Future studies need to attend to the increasing use of antipsychotics in CHR populations, greater matching of controls on premorbid IQ, more understanding of the potential of moderator variables, longer follow-up periods and specifically selected cognitive tasks. More recent studies such as the ongoing North American Longitudinal Prodromal Study are using batteries such as the MATRICS that have been well-established in samples with schizophrenia. The definition of conversion may also be important. In these high-risk studies, definitions of conversion range from schizophrenia to a diagnosis of schizophrenia or other psychotic disorders or in some studies the attenuated symptoms reached a psychotic intensity over a given period of time. As Brewer et al. (Reference Brewer, Wood, McGorry, Francey, Phillips, Yung, Anderson, Copolov, Singh, Velakoulis and Pantelis2003) demonstrated in an examination of olfaction, lower cognition at initial assessment in those who convert may be limited to those whose end diagnosis is schizophrenia.

References

Abubaker, R, Alaerts, M, Allman, AA, Barnett, J, Belujon, P, Bittner, RA, Burne, THJ, Cahn, W, Chance, S, Cherkerzian, S, deSouza, R, Di Forti, M, du Bois, T, Fatjó-Vilas, M, Green, M, Halpern, D, John, JP, Kemp, A, Koelkebeck, K, Lee, J, Lodge, DJ, Michalopoulou, P, Mompremier, L, Nelson, B, Perälä, J, Rotarska-Jagiela, A, Schoeman, R, Thakkar, KN, Valuri, G, Varambally, S, Zai, C, DeLisi, LE (2008). Summary of the 1st Schizophrenia International Research Society Conference oral sessions, Venice, Italy, June 21–25, 2008: the rapporteur reports. Schizophrenia Research 105, 289383.CrossRefGoogle ScholarPubMed
Addington, J, Heinssen, R (2012). Prediction and prevention of psychosis in youth at clinical high risk. Annual Review of Clinical Psychology 8, 269289.CrossRefGoogle ScholarPubMed
Addington, J, Cornblatt, BA, Cadenhead, KS, Cannon, TD, McGlashan, TH, Perkins, DO, Seidman, LJ, Tsuang, MT, Walker, EF, Woods, SW, Heinssen, R (2011). At clinical high risk for psychosis: outcome for non-converters. American Journal of Psychiatry 168, 800805.CrossRefGoogle Scholar
Becker, HE, Nieman, DH, Dingemans, PM, van de Fliert, R, De, HL, Linszen, DH (2010 a). Verbal fluency as a possible predictor for psychosis. European Psychiatry 25, 105110.CrossRefGoogle ScholarPubMed
Becker, HE, Nieman, DH, Wiltink, S, Dingemans, PM, van de Fliert, JR, Velthorst, E, De, HL, van Amelsvoort, TA, Linszen, DH (2010 b). Neurocognitive functioning before and after the first psychotic episode: does psychosis result in cognitive deterioration? Psychological Medicine 40, 15991606.CrossRefGoogle ScholarPubMed
Benetti, S, Mechelli, A, Picchioni, M, Broome, M, Williams, S, McGuire, P (2009). Functional integration between the posterior hippocampus and prefrontal cortex is impaired in both first episode schizophrenia and the at risk mental state. Brain 132, 24262436.Google Scholar
Brewer, WJ, Wood, SJ, McGorry, PD, Francey, SM, Phillips, LJ, Yung, AR, Anderson, V, Copolov, DL, Singh, B, Velakoulis, D, Pantelis, C (2003). Impairment of olfactory identification ability in individuals at ultra-high risk for psychosis who later develop schizophrenia. American Journal of Psychiatry 160, 17901794.CrossRefGoogle ScholarPubMed
Brewer, WJ, Wood, SJ, Phillips, LJ, Francey, SM, Pantelis, C, Yung, AR, Cornblatt, B, McGorry, PD (2006). Generalized and specific cognitive performance in clinical high-risk cohorts: a review highlighting potential vulnerability markers for psychosis. Schizophrenia Bulletin 32, 538555.Google Scholar
Broome, MR, Matthiasson, P, Fusar-Poli, P, Woolley, JB, Johns, LC, Tabraham, P, Bramon, E, Valmaggia, L, Williams, SC, Brammer, MJ, Chitnis, X, McGuire, PK (2009). Neural correlates of executive function and working memory in the ‘at-risk mental state’. British Journal of Psychiatry 194, 2533.Google Scholar
Cosway, R, Byrne, M, Clafferty, R, Hodges, A, Grant, E, Abukmeil, SS, Lawrie, SM, Miller, P, Johnstone, EC (2000). Neuropsychological change in young people at high risk for schizophrenia: results from the first two neuropsychological assessments of the Edinburgh High Risk Study. Psychological Medicine 30, 11111121.Google Scholar
Crossley, NA, Mechelli, A, Fusar-Poli, P, Broome, MR, Matthiasson, P, Johns, LC, Bramon, E, Valmaggia, L, Williams, SC, McGuire, PK (2009). Superior temporal lobe dysfunction and frontotemporal dysconnectivity in subjects at risk of psychosis and in first-episode psychosis. Human Brain Mapping 30, 41294137.CrossRefGoogle ScholarPubMed
Eastvold, AD, Heaton, RK, Cadenhead, KS (2007). Neurocognitive deficits in the (putative) prodrome and first episode of psychosis. Schizophrenia Research 93, 266277.Google Scholar
Frommann, I, Pukrop, R, Brinkmeyer, J, Bechdolf, A, Ruhrmann, S, Berning, J, Decker, P, Riedel, M, Moller, HJ, Wolwer, W, Gaebel, W, Klosterkotter, J, Maier, W, Wagner, M (2010). Neuropsychological profiles in different at-risk states of psychosis: executive control impairment in the early–and additional memory dysfunction in the late–prodromal state. Schizophrenia Bulletin 37, 861873.Google Scholar
Fusar-Poli, P, Broome, MR, Matthiasson, P, Woolley, JB, Johns, LC, Tabraham, P, Bramon, E, Valmaggia, L, Williams, SC, McGuire, P (2010). Spatial working memory in individuals at high risk for psychosis: longitudinal fMRI study. Schizophrenia Research 123, 4552.CrossRefGoogle ScholarPubMed
Fusar-Poli, P, Deste, G, Smieskova, R, Barlati, S, Yung, AR, Howes, O, Stieglitz, RD, Vita, A, McGuire, P, Borgwardt, S (2012 a). Cognitive functioning in prodromal psychosis. Archives of General Psychiatry 69, 562571.CrossRefGoogle ScholarPubMed
Fusar-Poli, P, Bonoldi, I, Yung, AR, Borgwardt, S, Kempton, MJ, Valmaggia, L, Barale, F, Caverzasi, E, McGuire, P (2012 b). Predicting psychosis: meta-analysis of transition outcomes in individuals at high clinical risk. Archives of General Psychiatry 69, 220229.Google Scholar
Fuster, JM (2001). The prefrontal cortex. An update: time is of the essence. Neuron 30, 319333.CrossRefGoogle ScholarPubMed
Giuliano, AJ, Li, H, Mesholam-Gately, RI, Sorenson, S, Woodberry, KA, Seidman, LJ (2012). Neurocognition in the psychosis risk syndrome: a quantitative and qualitative review. Current Pharmaceutical Design 18, 399415.Google Scholar
Green, MF, Kern, RS, Heaton, RK (2004). Longitudinal studies of cognition and functional outcome in schizophrenia: implications for MATRICS. Schizophrenia Research 72, 4151.Google Scholar
Hafner, H, Maurer, K, Ruhrmann, S, Bechdolf, A, Klosterkotter, J, Wagner, M, Maier, W, Bottlender, R, Moller, HJ, Gaebel, W, Wolwer, W (2004). Early detection and secondary prevention of psychosis: facts and visions. European Archives of Psychiatry and Clinical Neuroscience 254, 117128.CrossRefGoogle ScholarPubMed
Hawkins, KA, Keefe, RS, Christensen, BK, Addington, J, Woods, SW, Callahan, J, Zipursky, RB, Perkins, DO, Tohen, M, Breier, A, McGlashan, TH (2008). Neuropsychological course in the prodrome and first episode of psychosis: findings from the PRIME North America Double Blind Treatment Study. Schizophrenia Research 105, 19.Google Scholar
Hurlemann, R, Jessen, F, Wagner, M, Frommann, I, Ruhrmann, S, Brockhaus, A, Picker, H, Scheef, L, Block, W, Schild, HH, Moller-Hartmann, W, Krug, B, Falkai, P, Klosterkotter, J, Maier, W (2008). Interrelated neuropsychological and anatomical evidence of hippocampal pathology in the at-risk mental state. Psychological Medicine 38, 843851.Google Scholar
Jackson, HJ, McGorry, PD, Dudgeon, P (1995). Prodromal symptoms of schizophrenia in first-episode psychosis: prevalence and specificity. Comprehensive Psychiatry 36, 241250.CrossRefGoogle ScholarPubMed
Jahshan, C, Heaton, R, Golshan, S, Cadenhead, K (2010). Course of neurocognitive deficits in the prodrome and first episode of schizophrenia. Neuropsychology 24, 109120.Google Scholar
Jones, P, Rodgers, B, Murray, R, Marmot, M (1994). Child developmental risk factors for adult schizophrenia in the British 1946 birth cohort. Lancet 344, 13981402.Google Scholar
Keefe, RS, Perkins, D, Zipurksy, R, Christensen, B, Lieberman, J (2006). A longitudinal study of neurocognitive function in individuals at-risk for psychosis. Schizophrenia Research 88, 2635.CrossRefGoogle ScholarPubMed
Klosterkotter, J, Schultze-Lutter, F, Wieneke, A, Picker, H, Steinmeyer, EM (2001). Introduction and reliability of the first version of the Schizophrenia Prediction Instrument (SPI-A). Schizophrenia Research 49, 4.Google Scholar
Lindgren, M, Manninen, M, Laajasalo, T, Mustonen, U, Kalska, H, Suvisaari, J, Moilanen, K, Cannon, TD, Huttunen, M, Therman, S (2010). The relationship between psychotic-like symptoms and neurocognitive performance in a general adolescent psychiatric sample. Schizophrenia Research 123, 7785.CrossRefGoogle Scholar
Magaud, E, Kebir, O, Gut, A, Willard, D, Chauchot, F, Olie, JP, Kazes, M, Krebs, MO (2010). Altered semantic but not phonological verbal fluency in young help-seeking individuals with ultra high risk of psychosis. Schizophrenia Research 123, 5358.CrossRefGoogle Scholar
McGlashan, T, Walsh, BC, Woods, SW (2010). The Psychosis Risk Syndrome: Handbook for Diagnosis and Follow-up. Oxford University Press: New York.Google Scholar
Mesholam-Gately, RI, Giuliano, AJ, Goff, KP, Faraone, SV, Seidman, LJ (2009). Neurocognition in first-episode schizophrenia: a meta-analytic review. Neuropsychology 23, 315336.Google Scholar
Myles-Worsley, M, Ord, LM, Ngiralmau, H, Weaver, S, Blailes, F, Faraone, SV (2007). The Palau early psychosis study: neurocognitive functioning in high-risk adolescents. Schizophrenia Research 89, 299307.Google Scholar
Niendam, TA, Bearden, CE, Johnson, JK, McKinley, M, Loewy, R, O'Brien, M, Nuechterlein, KH, Green, MF, Cannon, TD (2006). Neurocognitive performance and functional disability in the psychosis prodrome. Schizophrenia Research 84, 100111.Google Scholar
Niendam, TA, Bearden, CE, Zinberg, J, Johnson, JK, O'Brien, M, Cannon, TD (2007). The course of neurocognition and social functioning in individuals at ultra high risk for psychosis. Schizophrenia Research 33, 772781.Google ScholarPubMed
Ozgurdal, S, Littman, E, Hauser, M, von Reventlow, H, Gudlowski, Y, Witthaus, H, Heinz, A, Juckel, G (2009). Neurocognitive performances in participants of at-risk mental state for schizophrenia and in first-episode patients. Journal of Clinical Experimental Neuropsychology 31, 392401.CrossRefGoogle ScholarPubMed
Pflueger, MO, Gschwandtner, U, Stieglitz, RD, Riecher-Rossler, A (2007). Neuropsychological deficits in individuals with an at risk mental state for psychosis – working memory as a potential trait marker. Schizophrenia Research 97, 1424.CrossRefGoogle Scholar
Pukrop, R, Schultze-Lutter, F, Ruhrmann, S, Brockhaus-Dumke, A, Tendolkar, I, Bechdolf, A, Matuschek, E, Klosterkotter, J (2006). Neurocognitive functioning in subjects at risk for a first episode of psychosis compared with first- and multiple-episode schizophrenia. Journal of Clinical and Experimental Neuropsychology 28, 13881407.Google Scholar
Pukrop, R, Ruhrmann, S, Schultze-Lutter, F, Bechdolf, A, Brockhaus-Dumke, A, Klosterkotter, J (2007). Neurocognitive indicators for a conversion to psychosis: comparison of patients in a potentially initial prodromal state who did or did not convert to a psychosis. Schizophrenia Research 92, 116125.Google Scholar
Reichenberg, A (2010). The assessment of neuropsychological functioning in schizophrenia. Dialogues in Clinical Neuroscience 12, 383392.Google Scholar
Riecher-Rossler, A, Gschwandtner, U, Aston, J, Borgwardt, S, Drewe, M, Fuhr, P, Pfluger, M, Radu, W, Schindler, C, Stieglitz, RD (2007). The Basel early-detection-of-psychosis (FEPSY)-study – design and preliminary results. Acta Psychiatrica Scandinavica 115, 114125.CrossRefGoogle ScholarPubMed
Schlosser, DA, Jacobson, S, Chen, Q, Sugar, CA, Niendam, TA, Li, G, Bearden, CE, Cannon, TD (2011). Recovery from an at-risk state: clinical and functional outcomes of putatively prodromal youth who do not develop psychosis. Schizophrenia Bulletin.Google Scholar
Seidman, LJ, Giuliano, AJ, Meyer, EC, Addington, J, Cadenhead, KS, Cannon, TD, McGlashan, TH, Perkins, DO, Tsuang, MT, Walker, EF, Woods, SW, Bearden, CE, Christensen, BK, Hawkins, K, Heaton, R, Keefe, RS, Heinssen, R, Cornblatt, BA (2010). Neuropsychology of the prodrome to psychosis in the NAPLS consortium: relationship to family history and conversion to psychosis. Archives of General Psychiatry 67, 578588.Google Scholar
Simon, AE, Cattapan-Ludewig, K, Zmilacher, S, Arbach, D, Gruber, K, Dvorsky, DN, Roth, B, Isler, E, Zimmer, A, Umbricht, D (2007). Cognitive functioning in the schizophrenia prodrome. Schizophrenia Bulletin 33, 761771.Google Scholar
Ventura, J, Lukoff, D, Nuechterlein, K, Liberman, RP, Green, MF, Shaner, A (1993). Brief Psychiatric Rating Scale (BPRS) expanded version (4.0): scales, anchor points, and administration manual. International Journal of Methods in Psychiatric Research 3, 227243.Google Scholar
Vollmer-Larsen, A, Handest, P, Parnas, J (2007). Reliability of measuring anomalous experience: the Bonn scale for the assessment of basic symptoms. Psychopathology 40, 345348.Google Scholar
Wood, SJ, Brewer, W, Koutsouradis, P, Phillips, LJ, Francey, SM, Proffitt, TM, Yung, AR, Jackson, HJ, McGorry, PD, Pantelis, C (2007). Cognitive decline following psychosis onset: data from the PACE clinic. British Journal of Psychiatry Supplement 51, s52s57.Google Scholar
Woodberry, KA, Seidman, LJ, Giuliano, AJ, Verdi, MB, Cook, WL, McFarlane, WR (2010). Neuropsychological profiles in individuals at clinical high risk for psychosis: relationship to psychosis and intelligence. Schizophrenia Research 123, 188198.Google Scholar
Yung, AR, Phillips, LJ, McGorry, P, McFarlane, CA, Francey, S, Harrigan, S, Patton, GC, Jackson, HJ (1998). Prediction of psychosis. A step towards indicated prevention of schizophrenia. British Journal of Psychiatry 172, 1420.CrossRefGoogle ScholarPubMed
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Table 1. Studies of cognition in individuals at CHR for psychosis