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Background: Whilst there is a growing body of evidence relating to the effectiveness of early detection and early intervention services there have been relatively few studies which have provided information on whether they are cost-effective., Aim: The aim of this paper is to review the cost-effectiveness evidence for early detection and early intervention in psychosis., Methods: Full economic evaluations, cost studies, and studies which do not report costs but do provide important resource use information were included in the review., Results: All cost effectiveness analysis to date suggest that it is possible to offer help early in the development of psychosis in a cost effective manner., Conclusions: The potential longer term economic benefits of early detection and early intervention are required.

Background: Individuals with an "At Risk Mental State" have a 20-30% chance of developing a psychotic disorder within two years; however it is difficult to predict which individuals will become ill on the basis of their clinical symptoms alone. We examined whether mismatch negativity (MMN) could help to identify those who are particularly likely to make a transition to psychosis., Method: 41 cases meeting PACE criteria for the At Risk Mental State (ARMS) and 50 controls performed a duration-deviant passive auditory oddball task whilst their electroencephalogram was recorded. The amplitude of the MMN wave was compared between groups using linear regression. The ARMS subjects were then followed for 2 years to determine their clinical outcome., Results: The MMN amplitude was significantly reduced in the ARMS group compared to controls. Of the at-risk subjects who completed followed up (n=41), ten (24% of baseline sample) subsequently developed psychosis. The MMN amplitude in this subgroup was significantly smaller across all three recording sites (FZ, F3 and F4) than in the ARMS individuals who did not become psychotic., Conclusion: Among those with the ARMS, MMN amplitude reduction is associated with an increased likelihood of developing frank psychosis., (Copyright © 2011 Elsevier B.V. All rights reserved.)

Recent research suggests that early intervention in psychosis might improve the chances of recovery and may even be able to prevent the onset of psychotic disorders. Clinical intervention in subjects at ultra high risk (UHR) of psychosis can have three different objectives. The first aim is to improve the 'prodromal' symptoms and problems that subjects usually present with. The second is to reduce the risk of the subsequent onset of frank psychosis. The third objective is to minimize the delay before the initiation of antipsychotic treatment in the subgroup of UHR subjects that go on to develop a first episode of psychosis. Both pharmacological and psychological interventions appear to be effective in reducing the severity of presenting symptoms in UHR subjects. Clinical trials of the impact of these interventions on the risk of subsequent transition to psychosis have been positive, but have involved small samples, and thus the issue of whether the effects persist in the long term remains to be determined. The monitoring of UHR subjects for the first signs of frank psychosis is an effective means of reducing the delay between the onset of the first episode and the start of antipsychotic treatment. Follow-up studies are required to test whether the reduction in this delay leads to an improved long term outcome. To date, the majority of the interventions that have been used in UHR subjects, such as case management, antipsychotic medication, and cognitive behavior therapy have previously been employed in patients with established psychosis. However, it is possible that treatments that are not normally used in patients with psychotic disorders may prove effective when applied at this stage.

Background: Identifying prodromal features that predate the onset of bipolar disorder (BD) may enable the prevention of BD and aid early intervention. This review addresses two key questions: Is there a bipolar prodrome? And, if there is, what are its characteristic features?, Method: A comprehensive search of databases (PubMed, Medline, EMBASE and PsycINFO) supplemented by hand searches was used to identify studies of symptoms preceding the onset of BD., Results: Fifty-nine studies were identified, of which 14 met inclusion criteria. Symptoms can predate the onset of BD by months to years and can be categorized as attenuated forms of BD symptoms, general symptoms common to a range of mental disorders, and personality traits, particularly cyclothymia. Two studies provided sufficient data to enable sensitivity and specificity to be calculated. Specificity of several of the features was high (>90%) but sensitivity was generally low (all <60%). We propose a model based on the findings in the studies reviewed to illustrate the potential trajectory to BD and the points at which it may be possible to intervene., Conclusions: Clinical features preceding the onset of BD can be identified. However, conclusions about whether there is a distinct prodrome to BD are restricted by the limitations of current evidence. The high specificity of some features suggests they may be useful in clinical practice. Large-scale longitudinal studies are needed to validate these features and characterize their specificity and sensitivity in independent samples., (© Cambridge University Press 2010)

The onset of positive symptoms in schizophrenia is often preceded by a prodromal phase characterized by neurocognitive abnormalities as well as changes in brain structure and function. Increasing efforts have been made to identify individuals at elevated risk of developing schizophrenia, as early intervention may help prevent progression towards psychosis. The present study uses functional MRI and graph theoretical analysis to characterize the organization of a functional brain network in at-risk mental state patients with varying symptoms assessed with the PANSS and healthy volunteers during performance of a verbal fluency task known to recruit frontal lobe networks and to be impaired in psychosis. We first examined between-groups differences in total network connectivity and global network compactness/efficiency. We then addressed the role of specific brain regions in the network organization by calculating the node-specific "betweeness centrality", "degree centrality" and "local average path length" metrics; different ways of assessing a region's importance in a network. We focused our analysis on the anterior cingulate cortex (ACC); a region known to support executive function that is structurally and functionally impaired in at-risk mental state patients. Although global network connectivity and efficiency were maintained in at-risk patients relative to the controls, we report a significant decrease in the contribution of the ACC to task-relevant network organization in at risk subjects with elevated symptoms (PANSS ≥ 45) relative to both the controls and the less symptomatic at-risk subjects, as reflected by a reduction in the topological centrality of the ACC. These findings provide evidence of network abnormalities and anterior cingulate cortex dysfunction in people with prodromal signs of schizophrenia., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Schizophrenia is characterized by altered prefrontal activity and elevated striatal dopaminergic function. To investigate the relationship between these abnormalities in the prodromal phase of the illness, we combined functional Magnetic Resonance Imaging and (18)F-Dopa Positron Emission Tomography. When performing a verbal fluency task, subjects with an At-Risk Mental State showed greater activation in the inferior frontal cortex than controls. Striatal dopamine function was greater in the At-Risk group than in controls. Within the At-Risk group, but not the control group, there was a direct correlation between the degree of left inferior frontal activation and the level of striatal dopamine function. Altered prefrontal activation in subjects with an At-Risk Mental State for psychosis is related to elevated striatal dopamine function. These changes reflect an increased vulnerability to psychosis and predate the first episode of frank psychosis.

Background: Catechol-O-methyltransferase (COMT) is essential for dopamine metabolism in the brain, and normal variation in the COMT Val158Met polymorphism can influence regional brain function during cognitive tasks. How this is affected when central dopamine function is perturbed is unclear. We addressed this by comparing the effects of COMT Val158Met genotype on cortical activation during a task of executive functions in healthy and schizophrenic subjects., Methods: We studied 90 subjects comprising 48 healthy volunteers (15 Met158/Met158, 20 Val158/Met158, and 13 Val158/Val158) and 42 patients with DSM-IV schizophrenia (13 Met158/Met158, 17 Val158/Met158, and 12 Val158/Val158). Subjects were studied with functional magnetic resonance imaging while performing a verbal fluency task, with performance recorded online. Main effects of genotype and diagnosis and their interaction on cortical activation and functional connectivity were assessed using SPM5., Results: In the right peri-Sylvian cortex, the Met158 allele of the COMT Val158Met polymorphism was associated with greater activation than the Val158 allele in control subjects; the converse applied in patients (Z = 4.3; false discovery rate p = .04). There was also a strong trend for a group x genotype interaction on functional connectivity between this right peri-Sylvian region and the left anterior insula/operculum (Z = 3.4; p < .001, uncorrected). These findings were independent of between-group differences in task performance, medication, demographic factors, or IQ., Conclusions: Frontotemporal function during verbal generation is modulated by variation in COMT genotype. This effect is altered in schizophrenia, which may reflect the perturbation of central dopamine function associated with the disorder.

Background: Individuals with an "at-risk mental state" (or "prodromal" symptoms) have a 20-40% chance of developing psychosis; however it is difficult to predict which of them will become ill on the basis of their clinical symptoms alone. We examined whether neurophysiological markers could help to identify those who are particularly vulnerable., Method: 35 cases meeting PACE criteria for the at-risk mental state (ARMS) and 57 controls performed an auditory oddball task whilst their electroencephalogram was recorded. The latency and amplitude of the P300 and N100 waves were compared between groups using linear regression., Results: The P300 amplitude was significantly reduced in the ARMS group [8.6+/-6.4 microvolt] compared to controls [12.7+/-5.8 microvolt] (p<0.01). There were no group differences in P300 latency or in the amplitude and latency of the N100. Of the at-risk subjects that were followed up, seven (21%) developed psychosis., Conclusion: Reduction in the amplitude of the P300 is associated with an increased vulnerability to psychosis. Neurophysiological and other biological markers may be of use to predict clinical outcomes in populations at high risk.

Background: High rates of osteoporosis in schizophrenia may result from the prolactin-raising effects of some antipsychotic medication. Aims To examine bone mineral density in relation to relevant endocrine variables in patients with schizophrenia taking prolactin-raising antipsychotics., Method: Fifty-five patients who had been receiving prolactin-raising antipsychotic medication for >10 years underwent dual-energy X-ray absorptiometry of their lumbar and hip bones. Among the endocrine variables assessed were plasma prolactin and sex hormones., Results: Age-related reduced bone mineral density measures were found in 17 (57%) of the male and 8 (32%) of the female patients. Higher doses of the female patients. Higher doses of medication were associated with increased rates of both hyperprolactinaemia and bone mineral density loss. Bone loss for the whole group was correlated with medication dose, and for men was inversely correlated with testosterone values., Conclusions: These results suggest that patients with schizophrenia on long-term prolactin-raising antipsychotic medication are at high risk of developing reduced bone mineral density as a consequence of hyperprolactinaemia-induced hypogonadism.