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Co-occurrence of depression and a substance use disorder (SUD) in patients who present dual diagnoses has been long recognized as an important consideration in clinical practice. This review synthesizes the evidence of pharmacological and psychosocial interventions for comorbid depressive disorders and SUDs while providing clinical recommendations about the best interventions to address these patients. The best evidence from randomized controlled trials was used to evaluate treatment options. The strength of recommendations was described using the GRADE approach. Our results suggest that 1) In patients with depression and alcohol consumption, the administration of non-selective serotonin reuptake inhibitor (SSRI) antidepressants instead of SSRI is recommended for improvement of depressive symptoms (strong recommendation). Neither SSRI (strong recommendation) nor non-SSRI (weak recommendation) antidepressants are recommended for reduction in alcohol consumption. 2) In patients with depression and cannabis use, the use of venlafaxine is not recommended (weak recommendation). 3) In patients with depression and cocaine consumption, the use of SSRI antidepressants for improving depressive symptoms (weak recommendation) or to reduce cocaine use is not recommended (strong recommendation). The use of non-SSRI antidepressants is only recommended for improving depressive symptoms (strong recommendation). 4) The administration of bupropion to reduce nicotine consumption is not recommended (strong recommendation). 5) Regarding psychological treatment, in patients with depression and co-occurring alcohol disorder, both pharmacotherapy and cognitive behavioural therapy have positive effects on internalizing symptoms and in reducing alcohol consumption (weak recommendation). Our review suggests the need for more research in this area and for larger, multisite, randomized studies to provide more definite evidence.

Although correct diagnosis and management of patients with schizophrenia and a comorbid substance use disorder (SUD) would determine a decrease in morbidity and mortality in these patients, development of efficient therapeutic strategies is still pending. We present recommendations on the pharmacological and psychological management of these patients following the 'PICO' structure (Patient-Intervention-Comparison-Outcomes). Evaluation of the quality of studies and summary of the evidence for each question was performed following the recommendations of the GRADE (Grading of Recommendations, Assessment, Development and Evaluation) working group. Our results suggest: 1) In patients with schizophrenia and cannabis use disorder, it is not possible to recommend one antipsychotic drug over another (between olanzapine, risperidone or haloperidol) for improving psychotic symptoms, reducing cannabis use, or improving pragmatic variables (weak recommendation). Clozapine cannot be recommended to reduce cannabis use (weak recommendation). 2) In patients with schizophrenia and cocaine use disorder we recommend haloperidol over olanzapine to reduce craving (moderate recommendation), and olanzapine over haloperidol to improve motor side effects in these patients (moderate recommendation). 3) In patients with schizophrenia and alcohol use disorder while naltrexone is recommended to reduce alcohol use (in terms of reducing alcohol craving) (weak recommendation), there is insufficient evidence to make any recommendation on the use of adjuvant acamprosate (weak recommendation). 4) In patients with schizophrenia and nicotine use disorder, adjuvant bupropion and varenicline are recommended for reducing nicotine use and nicotine abstinence (strong/moderate recommendation). 5) In patients with schizophrenia and polydrug use disorder, second-generation over first-generation antipsychotic drugs and olanzapine over other second-generation antipsychotics are recommended to improve psychotic symptoms (moderate/weak recommendation).

Substantial evidence has confirmed the high comorbidity between Attention-Deficit/Hyperactivity Disorder (ADHD) and a substance use disorder (SUD). This review synthesizes the pharmacological and psychosocial interventions conducted in ADHD and SUDs, and provides clinical recommendations using the GRADE approach. Our results suggest: 1) In patients with ADHD and alcohol use, atomoxetine is recommended to reduce ADHD symptoms (weak recommendation) and alcohol craving (weak recommendation). 2) In patients with ADHD and cannabis use disorder, atomoxetine is recommended to improve ADHD symptoms (weak recommendation), not to reduce cannabis use (weak recommendation). 3) In patients with ADHD and cocaine use disorder, methylphenidate is not recommended to improve ADHD symptoms or to reduce cocaine use (weak recommendation). 4) In patients with ADHD and comorbid nicotine use disorder, methylphenidate is recommended to improve ADHD symptoms (weak recommendation). Psychoestimulants, such as methylphenidate or lisdexamfetamine dimesylate, are not recommended to reduce nicotine use (weak recommendation). 5) Regarding patients with ADHD and any SUD, the use of psychostimulants is recommended to improve ADHD symptoms (weak recommendation), not to reduce substance use (weak recommendation) or to improve retention to treatment (strong recommendation). In these patients, the use of atomoxetine is recommended to improve ADHD symptoms (weak recommendation), not to decrease substance use (weak recommendation) or to improve retention to treatment (strong recommendation). Atomoxetine and psychostimulants appear to be safe in patients with any SUD (strong recommendation). Our review suggests the need for more research in this area and for larger, multisite, randomized studies to provide more definite and conclusive evidence.

BACKGROUND: Ethnic minority groups in Western countries face an increased risk of psychotic disorders. Causes of this long-standing public health inequality remain poorly understood. We investigated whether social disadvantage, linguistic distance and discrimination contributed to these patterns.; METHODS: We used case-control data from the EUropean network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI) study, carried out in 16 centres in six countries. We recruited 1130 cases and 1497 population-based controls. Our main outcome measure was first-episode ICD-10 psychotic disorder (F20-F33), and exposures were ethnicity (white majority, black, mixed, Asian, North-African, white minority and other), generational status, social disadvantage, linguistic distance and discrimination. Age, sex, paternal age, cannabis use, childhood trauma and parental history of psychosis were included as a priori confounders. Exposures and confounders were added sequentially to multivariable logistic models, following multiple imputation for missing data.; RESULTS: Participants from any ethnic minority background had crude excess odds of psychosis [odds ratio (OR) 2.03, 95% confidence interval (CI) 1.69-2.43], which remained after adjustment for confounders (OR 1.61, 95% CI 1.31-1.98). This was progressively attenuated following further adjustment for social disadvantage (OR 1.52, 95% CI 1.22-1.89) and linguistic distance (OR 1.22, 95% CI 0.95-1.57), a pattern mirrored in several specific ethnic groups. Linguistic distance and social disadvantage had stronger effects for first- and later-generation groups, respectively.; CONCLUSION: Social disadvantage and linguistic distance, two potential markers of sociocultural exclusion, were associated with increased odds of psychotic disorder, and adjusting for these led to equivocal risk between several ethnic minority groups and the white majority.

Background First-degree relatives of patients with psychotic disorder have higher levels of polygenic risk (PRS) for schizophrenia and higher levels of intermediate phenotypes. Methods We conducted, using two different samples for discovery (n= 336 controls and 649 siblings of patients with psychotic disorder) and replication (n= 1208 controls and 1106 siblings), an analysis of association between PRS on the one hand and psychopathological and cognitive intermediate phenotypes of schizophrenia on the other in a sample at average genetic risk (healthy controls) and a sample at higher than average risk (healthy siblings of patients). Two subthreshold psychosis phenotypes, as well as a standardised measure of cognitive ability, based on a short version of the WAIS-III short form, were used. In addition, a measure of jumping to conclusion bias (replication sample only) was tested for association with PRS. Results In both discovery and replication sample, evidence for an association between PRS and subthreshold psychosis phenotypes was observed in the relatives of patients, whereas in the controls no association was observed. Jumping to conclusion bias was similarly only associated with PRS in the sibling group. Cognitive ability was weakly negatively and non-significantly associated with PRS in both the sibling and the control group. Conclusions The degree of endophenotypic expression of schizophrenia polygenic risk depends on having a sibling with psychotic disorder, suggestive of underlying gene-environment interaction. Cognitive biases may better index genetic risk of disorder than traditional measures of neurocognition, which instead may reflect the population distribution of cognitive ability impacting the prognosis of psychotic disorder.

Aims Psychosis spectrum disorder has a complex pathoetiology characterised by interacting environmental and genetic vulnerabilities. The present study aims to investigate the role of gene-environment interaction using aggregate scores of genetic (polygenic risk score for schizophrenia (PRS-SCZ)) and environment liability for schizophrenia (exposome score for schizophrenia (ES-SCZ)) across the psychosis continuum. Methods The sample consisted of 1699 patients, 1753 unaffected siblings, and 1542 healthy comparison participants. The Structured Interview for Schizotypy-Revised (SIS-R) was administered to analyse scores of total, positive, and negative schizotypy in siblings and healthy comparison participants. The PRS-SCZ was trained using the Psychiatric Genomics Consortiums results and the ES-SCZ was calculated guided by the approach validated in a previous report in the current data set. Regression models were applied to test the independent and joint effects of PRS-SCZ and ES-SCZ (adjusted for age, sex, and ancestry using 10 principal components). Results Both genetic and environmental vulnerability were associated with case-control status. Furthermore, there was evidence for additive interaction between binary modes of PRS-SCZ and ES-SCZ (above 75% of the control distribution) increasing the odds for schizophrenia spectrum diagnosis (relative excess risk due to interaction = 6.79, [95% confidential interval (CI) 3.32, 10.26], p < 0.001). Sensitivity analyses using continuous PRS-SCZ and ES-SCZ confirmed gene-environment interaction (relative excess risk due to interaction = 1.80 [95% CI 1.01, 3.32], p = 0.004). In siblings and healthy comparison participants, PRS-SCZ and ES-SCZ were associated with all SIS-R dimensions and evidence was found for an interaction between PRS-SCZ and ES-SCZ on the total (B = 0.006 [95% CI 0.003, 0.009], p < 0.001), positive (B = 0.006 [95% CI, 0.002, 0.009], p = 0.002), and negative (B = 0.006, [95% CI 0.004, 0.009], p < 0.001) schizotypy dimensions. Conclusions The interplay between exposome load and schizophrenia genetic liability contributing to psychosis across the spectrum of expression provide further empirical support to the notion of aetiological continuity underlying an extended psychosis phenotype.

Purpose The EUropean Network of National Schizophrenia Networks Studying Gene-Environment Interactions (EU-GEI) study contains an unparalleled wealth of comprehensive data that allows for testing hypotheses about (1) variations in incidence within and between countries, including by urbanicity and minority ethnic groups; and (2) the role of multiple environmental and genetic risk factors, and their interactions, in the development of psychotic disorders. Methods Between 2010 and 2015, we identified 2774 incident cases of psychotic disorders during 12.9 million person-years at risk, across 17 sites in 6 countries (UK, The Netherlands, France, Spain, Italy, and Brazil). Of the 2774 incident cases, 1130 cases were assessed in detail and form the case sample for case-control analyses. Across all sites, 1497 controls were recruited and assessed. We collected data on an extensive range of exposures and outcomes, including demographic, clinical (e.g. premorbid adjustment), social (e.g. childhood and adult adversity, cannabis use, migration, discrimination), cognitive (e.g. IQ, facial affect processing, attributional biases), and biological (DNA via blood sample/cheek swab). We describe the methodology of the study and some descriptive results, including representativeness of the cohort. Conclusions This resource constitutes the largest and most extensive incidence and case-control study of psychosis ever conducted.

Psychotic patients with a lifetime history of cannabis use generally show better cognitive functioning than other psychotic patients. Some authors suggest that cannabis-using patients may have been less cognitively impaired and less socially withdrawn in their premorbid life. Using a dataset comprising 948 patients with first-episode psychosis (FEP) and 1313 population controls across 6 countries, we examined the extent to which IQ and both early academic (Academic Factor [AF]) and social adjustment (Social Factor [SF]) are related to the lifetime frequency of cannabis use in both patients and controls. We expected a higher IQ and a better premorbid social adjustment in psychotic patients who had ever used cannabis compared to patients without any history of use. We did not expect such differences in controls. In both patients and controls, IQ was 3 points higher among occasional-users than in never-users (mean difference [Mdiff] = 2.9, 95% CI = [1.2, 4.7]). Both cases and control daily-users had lower AF compared to occasional (Mdiff = -0.3, 95% CI = [-0.5; -0.2]) and never-users (Mdiff = -0.4, 95% CI = [-0.6; -0.2]). Finally, patient occasional (Mdiff = 0.3, 95% CI = [0.1; 0.5]) and daily-users (Mdiff = 0.4, 95% CI = [0.2; 0.6]) had better SF than their never-using counterparts. This difference was not present in controls (Fgroup*frequency(2, 2205) = 4.995, P = .007). Our findings suggest that the better premorbid social functioning of FEP with a history of cannabis use may have contributed to their likelihood to begin using cannabis, exposing them to its reported risk-increasing effects for Psychotic Disorders. © The Author(s) 2019. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.All rights reserved. For permissions, please email: journals.permissions@oup.com.

Exposures constitute a dense network of the environment: exposome. Here, we argue for embracing the exposome paradigm to investigate the sum of nongenetic "risk" and show how predictive modeling approaches can be used to construct an exposome score (ES; an aggregated score of exposures) for schizophrenia. The training dataset consisted of patients with schizophrenia and controls, whereas the independent validation dataset consisted of patients, their unaffected siblings, and controls. Binary exposures were cannabis use, hearing impairment, winter birth, bullying, and emotional, physical, and sexual abuse along with physical and emotional neglect. We applied logistic regression (LR), Gaussian Naive Bayes (GNB), the least absolute shrinkage and selection operator (LASSO), and Ridge penalized classification models to the training dataset. ESs, the sum of weighted exposures based on coefficients from each model, were calculated in the validation dataset. In addition, we estimated ES based on meta-analyses and a simple sum score of exposures. Accuracy, sensitivity, specificity, area under the receiver operating characteristic, and Nagelkerke's R-2 were compared. The ESMeta-analyses performed the worst, whereas the sum score and the ESGNB were worse than the ESLR that performed similar to the ESLASSO and ESRIDGE. The ESLR distinguished patients from controls (odds ratio [OR] = 1.94, P < .001), patients from siblings (OR = 1.58, P < .001), and siblings from controls (OR = 1.21, P= .001). An increase in ESLR was associated with a gradient increase of schizophrenia risk. In reference to the remaining fractions, the ESLR at top 30%, 20%, and 10% of the control distribution yielded ORs of 3.72, 3.74, and 4.77, respectively. Our findings demonstrate that predictive modeling approaches can be harnessed to evaluate the exposome.

Schizophrenia is a clinically heterogeneous syndrome affecting multiple dimensions of patients' life. Therefore, its treatment might require a multidimensional approach that should take into account the efficacy (the ability of an intervention to get the desired result under ideal conditions), the effectiveness (the degree to which the intended effect is obtained under routine clinical practice conditions or settings) and the efficiency (value of the intervention as relative to its cost to the individual or society) of any therapeutic intervention. In a first step of the process, a group of 90 national experts from different areas of health-care and with a multidimensional and multidisciplinary perspective of the disease, defined the concepts of efficacy, effectiveness and efficiency of established therapeutic interventions within 7 key dimensions of the illness: symptomatology; comorbidity; relapse and adherence; insight and subjective experience; cognition; quality of life, autonomy and functional capacity; and social inclusion and associated factors. The main conclusions and recommendations of this stage of the work are presented herein.

To access publisher's full text version of this article. Please click on the hyperlink in Additional Links field. Epidemiological and genetic data support the notion that schizophrenia and bipolar disorder share genetic risk factors. In our previous genome-wide association study, meta-analysis and follow-up (totaling as many as 18 206 cases and 42 536 controls), we identified four loci showing genome-wide significant association with schizophrenia. Here we consider a mixed schizophrenia and bipolar disorder (psychosis) phenotype (addition of 7469 bipolar disorder cases, 1535 schizophrenia cases, 333 other psychosis cases, 808 unaffected family members and 46 160 controls). Combined analysis reveals a novel variant at 16p11.2 showing genome-wide significant association (rs4583255[T]; odds ratio=1.08; P=6.6 × 10(-11)). The new variant is located within a 593-kb region that substantially increases risk of psychosis when duplicated. In line with the association of the duplication with reduced body mass index (BMI), rs4583255[T] is also associated with lower BMI (P=0.0039 in the public GIANT consortium data set; P=0.00047 in 22 651 additional Icelanders). National Institute of Mental Health N01 MH900001 MH074027 1U24MH081810 R01 MH078075 Eli Lilly and Company Pritzker Neuropsychiatric Disorders Research Fund L.L.C. Massachusetts General Hospital in Boston, MA (NIMH) 2N01MH080001-001 Wellcome Trust 076113 085475 075491/Z/04 085475/B/08/Z 085475/Z/08/Z Medical Research Council G0601030 Anthony P Monaco, PI, University of Oxford National Genome Research Network of the German Federal Ministry of Education and Research (BMBF) 01GS08144 01GS08147 Centre of Excellence for Complex Disease Genetics of the Academy of Finland 213506 129680 Biocentrum Helsinki Foundation Research Program for Molecular Medicine, Faculty of Medicine, University of Helsinki Stanley Medical Research Institute Danish Council for Strategic Research 2101-07-0059 H Lundbeck A/S; the Research Council of Norway 163070/V50 Danish Medical Research Council South-East Norway Health Authority 2004-123 Medical Research Council Ministerio de Sanidad y Consumo, Spain PI081522 Xunta de Galicia 08CSA005208PR Swedish Research Council Wellcome Trust Case Control Consortium 2 Max Planck Society; Saarland University T6 03 10 00-45 Netherlands Foundation for Brain Research (Hersenstichting) 2008(1).34 2006-037761 PIAP-GA-2008-218251 HEALTH-F2-2009-223423 HEALTH-F4-2009-242257 info:eu-repo/grantAgreement/EC/FP7/218251

El consumo de psicoestimulantes tiene una especial importancia en nuestro medio por su notable incremento entre los más jóvenes. El objetivo del presente estudio es determinar si hay diferencias entre menores de edad consumidores y no consumidores de psicoestimulantes (cocaína y éxtasis) en función de las características de personalidad evaluadas con el MACI. La muestra está formada por 398 jóvenes entre 14 y 17 años que fueron seleccionados con un muestreo aleatorio en los domicilios de los entrevistados y en lugares de ocio y diversión. Los resultados confirman la existencia de importantes diferencias en las características de personalidad de ambos. Los jóvenes que han consumido psicoestimulantes se caracterizan por tener los prototipos de personalidad Rebelde, Rudo, Oposicionista y Tendencia límite. Do adolescents who use stimulants have a different personality? Stimulant consumption is especially important in our context because its use has greatly increased in recent years. The aim of the present study is to analyze the differences between stimulant users and nonusers (under 18 years old) in personality characteristics assessed with the MACI. The sample comprises 398 youths between 14 and 17 years old who were selected through random sampling in their homes or in recreational night spots. Results show important differences in personality features between stimulant users and nonusers. Stimulant users are characterized by having unruly, forceful, oppositional and borderline-tendency personality prototypes.

To access publisher full text version of this article. Please click on the hyperlink in Additional Links field. Common sequence variants have recently joined rare structural polymorphisms as genetic factors with strong evidence for association with schizophrenia. Here we extend our previous genome-wide association study and meta-analysis (totalling 7 946 cases and 19 036 controls) by examining an expanded set of variants using an enlarged follow-up sample (up to 10 260 cases and 23 500 controls). In addition to previously reported alleles in the major histocompatibility complex region, near neurogranin (NRGN) and in an intron of transcription factor 4 (TCF4), we find two novel variants showing genome-wide significant association: rs2312147[C], upstream of vaccinia-related kinase 2 (VRK2) [odds ratio (OR) = 1.09, P = 1.9 × 10(-9)] and rs4309482[A], between coiled-coiled domain containing 68 (CCDC68) and TCF4, about 400 kb from the previously described risk allele, but not accounted for by its association (OR = 1.09, P = 7.8 × 10(-9)). European Union LSHM-CT-2006-037761 PIAP-GA-2008-218251 HEALTH-F2-2009-223423 National Genome Research Network of the German Federal Ministry of Education and Research (BMBF) 01GS08144 01GS08147 National Institute of Mental Health R01 MH078075 N01 MH900001 MH074027 Centre of Excellence for Complex Disease Genetics of the Academy of Finland 213506 129680 Biocentrum Helsinki Foundation Faculty of Medicine, University of Helsinki Stanley Medical Research Institute Danish Council for Strategic Research 2101-07-0059 H. Lundbeck A/S Research Council of Norway 163070/V50 South-East Norway Health Authority 2004-123 Medical Research Council Ministerio de Sanidad y Consumo, Spain PI081522 Xunta de Galicia 08CSA005208PR Swedish Research Council Wellcome Trust 083948/Z/07/Z Max Planck Society Eli Lilly and Company info:eu-repo/grantAgreement/EC/FP7/218251

Secondary erotomania has mainly been associated with functional psychosis (especially schizophrenia) and bipolar disorder. Traditionally, erotomania has been considered chronic and refractory to treatment, although cases of secondary erotomania with response to benzodiazepines, lithium, anticonvulsivants, antipsychotic drugs and electroconvulsive therapy have been described. In this paper, we present a clinical case of secondary erotomania related to paranoid schizophrenia with good response to electroconvulsive therapy and neuroleptics. Actas Esp Psiquiatr 2003;31(6):361-363

Organic diseases can occur with different psychiatric symptoms. Neurosyphilis was considered to be a landmark in the history of organic mental syndromes. The complexity of its clinical picture decreases the boundaries between Neurology and Psychiatry and requires a multidisciplinary approach. We report a case of neurosyphilis that began with psychiatric symptoms in a twenty five years old male.

the Spanish Ministry of Science and Innovation. Instituto de Salud Carlos III (SAM16PE07CP1, PI16/02012, PI19/024), co-financed by ERDF Funds from the European Commission, ‘A way of making Europe’, CIBERSAM. Madrid Regional Government (B2017/BMD-3740 AGES-CM-2), European Union Structural Funds. European Union Seventh Framework Program under grant agreements FP7-4-HEALTH-2009-2.2.1-2-241909 (Project EU-GEI) and FP7-HEALTH-2013-2.2.1-2-603196 (Project PSYSCAN); and European Union H2020 Program under the Innovative Medicines Initiative 2 Joint Undertaking (grant agreement No 115916, Project PRISM, and grant agreement No 777394, Project AIMS-2-TRIALS) (...), Pignon B, Peyre H, Ayrolles A, Kirkbride JB, Jamain S, Ferchiou A, Richard JR, Baudin G, Tosato S, Jongsma H, de Haan L, Tarricone I, Bernardo M, Velthorst E, Braca M, Arango C, Arrojo M, Bobes J, Del-Ben CM, Di Forti M, Gayer-Anderson C, Jones PB, La Cascia C, Lasalvia A, Menezes PR, Quattrone D, Sanjuán J, Selten JP, Tortelli A, Llorca PM, van Os J, Rutten BPF, Murray RM, Morgan C, Leboyer M, Szöke A, Schürhoff F

BackgroundIn Europe, the incidence of psychotic disorder is high in certain migrant and minority ethnic groups (hence: ‘minorities’). However, it is unknown how the incidence pattern for these groups varies within this continent. Our objective was to compare, across sites in France, Italy, Spain, the UK and the Netherlands, the incidence rates for minorities and the incidence rate ratios (IRRs, minorities v. the local reference population).MethodsThe European Network of National Schizophrenia Networks Studying Gene–Environment Interactions (EU-GEI) study was conducted between 2010 and 2015. We analyzed data on incident cases of non-organic psychosis (International Classification of Diseases, 10th edition, codes F20–F33) from 13 sites.ResultsThe standardized incidence rates for minorities, combined into one category, varied from 12.2 in Valencia to 82.5 per 100 000 in Paris. These rates were generally high at sites with high rates for the reference population, and low at sites with low rates for the reference population. IRRs for minorities (combined into one category) varied from 0.70 (95% CI 0.32–1.53) in Valencia to 2.47 (95% CI 1.66–3.69) in Paris (test for interaction: p = 0.031). At most sites, IRRs were higher for persons from non-Western countries than for those from Western countries, with the highest IRRs for individuals from sub-Saharan Africa (adjusted IRR = 3.23, 95% CI 2.66–3.93).ConclusionsIncidence rates vary by region of origin, region of destination and their combination. This suggests that they are strongly influenced by the social context.

The European Network of National Schizophrenia Networks Studying Gene-Environment Interactions (EU-GEI) Project was funded by grant agreement Health-F2-2010-241909 (Project EU-GEI) from the European Community’s Seventh Framework programme., Tarricone, I., D'Andrea, G., Jongsma, H.E., Tosato, S., Gayer-Anderson, C., Stilo, S.A., Suprani, F., Iyegbe, C., Van Der Ven, E., Quattrone, D., Di Forti, M., Velthorst, E., Rossi Menezes, P., Arango, C., Parellada, M., Lasalvia, A., La Cascia, C., Ferraro, L., Bobes, J., Bernardo, M., Sanjuán, I., Santos, J.L., Arrojo, M., Del-Ben, C.M., Tripoli, G., Llorca, P.-M., De Haan, L., Selten, J.-P., Tortelli, A., Szöke, A., Muratori, R., Rutten, B.P., Van Os, J., Jones, P.B., Kirkbride, J.B., Berardi, D., Murray, R.M., Morgan, C.

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