831 results on '"Ruhrmann, S"'
Search Results
2. Hitze und Gesundheit
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Ruhrmann, S., additional, Lenz, N., additional, Martens, F., additional, and Heudorf, U., additional
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- 2024
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3. Effect of childhood physical abuse on social anxiety is mediated via reduced frontal lobe and amygdala-hippocampus complex volume in adult clinical high-risk subjects
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Salokangas, R.K.R., Hietala, J., Armio, R.L., Laurikainen, H., From, T., Borgwardt, S., Riecher-Rössler, A., Brambilla, P., Bonivento, C., Meisenzahl, E., Schultze-Lutter, F., Haidl, T., Ruhrmann, S., Upthegrove, R., Wood, S.J., Pantelis, C., Kambeitz-Ilankovic, L., Ruef, A., Dwyer, D.B., Kambeitz, J., and Koutsouleris, N.
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- 2021
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4. Associations between disturbed sleep and attenuated psychotic experiences in people at clinical high risk for psychosis.
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Formica, M. J. C., Fuller-Tyszkiewicz, M., Reininghaus, U., Kempton, M., Delespaul, P., de Haan, L., Nelson, B., Mikocka-Walus, A., Olive, L., Ruhrmann, S., Rutten, B., Riecher-Rössler, A., Sachs, G., Valmaggia, L., van der Gaag, M., McGuire, P., van Os, J., and Hartmann, J. A.
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SELF-evaluation ,RISK assessment ,MENTAL health ,PREDICTION models ,RESEARCH funding ,QUESTIONNAIRES ,MULTIPLE regression analysis ,INTERVIEWING ,DESCRIPTIVE statistics ,PERCEPTUAL disorders ,SLEEP deprivation ,COGNITION disorders ,RESEARCH methodology ,PSYCHOSES ,COMPARATIVE studies ,DATA analysis software ,SLEEP quality ,SLEEP disorders ,DISEASE complications - Abstract
Background: Pre-diagnostic stages of psychotic illnesses, including 'clinical high risk' (CHR), are marked by sleep disturbances. These sleep disturbances appear to represent a key aspect in the etiology and maintenance of psychotic disorders. We aimed to examine the relationship between self-reported sleep dysfunction and attenuated psychotic symptoms (APS) on a day-to-day basis. Methods: Seventy-six CHR young people completed the Experience Sampling Methodology (ESM) component of the European Union Gene-Environment Interaction Study, collected through PsyMate® devices, prompting sleep and symptom questionnaires 10 times daily for 6 days. Bayesian multilevel mixed linear regression analyses were performed on time-variant ESM data using the brms package in R. We investigated the day-to-day associations between sleep and psychotic experiences bidirectionally on an item level. Sleep items included sleep onset latency, fragmentation, and quality. Psychosis items assessed a range of perceptual, cognitive, and bizarre thought content common in the CHR population. Results: Two of the seven psychosis variables were unidirectionally predicted by previous night's number of awakenings: every unit increase in number of nightly awakenings predicted a 0.27 and 0.28 unit increase in feeling unreal or paranoid the next day, respectively. No other sleep variables credibly predicted next-day psychotic symptoms or vice-versa. Conclusion: In this study, the relationship between sleep disturbance and APS appears specific to the item in question. However, some APS, including perceptual disturbances, had low levels of endorsement amongst this sample. Nonetheless, these results provide evidence for a unidirectional relationship between sleep and some APS in this population. [ABSTRACT FROM AUTHOR]
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- 2024
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5. P.3.f.001 Does anandamide elevation in cerebrospinal fluid protect against transition into frank psychosis?
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Koethe, D, Giuffrida, A, Schreiber, D, Hellmich, M, Schultze-Lutter, F, Ruhrmann, S, Klosterkoetter, J, Piomelli, D, and Leweke, FM
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Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Published
- 2008
6. Does anandamide elevation in cerebrospinal fluid protect against transition into frank psychosis?
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Koethe, D, Giuffrida, A, Schreiber, D, Hellmich, M, Schultze-Lutter, F, Ruhrmann, S, Klosterkoetter, J, Piomelli, D, and Leweke, FM
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Psychiatry ,Medical and Health Sciences ,Psychology and Cognitive Sciences - Published
- 2008
7. The Role of Social Defeat in Neurological differences in Psychotic Patients
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Malaviya, A., primary, Lalousis, P. A., additional, Wood, S. J., additional, Bertolino, A., additional, Borgwardt, S. B., additional, Brambilla, P., additional, Kambeitz, J., additional, Lencer, R., additional, Pantelis, C., additional, Ruhrmann, S., additional, Salokangas, R. K., additional, Schultze-Lutter, F., additional, Meisenzahl, E., additional, Koutsouleris, N., additional, and Upthegrove, R., additional
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- 2023
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8. The non-specific nature of mental health and structural brain outcomes following childhood trauma
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Haidl, TK, Hedderich, DM, Rosen, M, Kaiser, N, Seves, M, Lichtenstein, T, Penzel, N, Wenzel, J, Kambeitz-Ilankovic, L, Ruef, A, Popovic, D, Schultze-Lutter, F, Chisholm, K, Upthegrove, R, Salokangas, RKR, Pantelis, C, Meisenzahl, E, Wood, SJ, Brambilla, P, Borgwardt, S, Ruhrmann, S, Kambeitz, J, Koutsouleris, N, Haidl, TK, Hedderich, DM, Rosen, M, Kaiser, N, Seves, M, Lichtenstein, T, Penzel, N, Wenzel, J, Kambeitz-Ilankovic, L, Ruef, A, Popovic, D, Schultze-Lutter, F, Chisholm, K, Upthegrove, R, Salokangas, RKR, Pantelis, C, Meisenzahl, E, Wood, SJ, Brambilla, P, Borgwardt, S, Ruhrmann, S, Kambeitz, J, and Koutsouleris, N
- Abstract
BACKGROUND: Childhood trauma (CT) is associated with an increased risk of mental health disorders; however, it is unknown whether this represents a diagnosis-specific risk factor for specific psychopathology mediated by structural brain changes. Our aim was to explore whether (i) a predictive CT pattern for transdiagnostic psychopathology exists, and whether (ii) CT can differentiate between distinct diagnosis-dependent psychopathology. Furthermore, we aimed to identify the association between CT, psychopathology and brain structure. METHODS: We used multivariate pattern analysis in data from 643 participants of the Personalised Prognostic Tools for Early Psychosis Management study (PRONIA), including healthy controls (HC), recent onset psychosis (ROP), recent onset depression (ROD), and patients clinically at high-risk for psychosis (CHR). Participants completed structured interviews and self-report measures including the Childhood Trauma Questionnaire, SCID diagnostic interview, BDI-II, PANSS, Schizophrenia Proneness Instrument, Structured Interview for Prodromal Symptoms and structural MRI, analyzed by voxel-based morphometry. RESULTS: (i) Patients and HC could be distinguished by their CT pattern with a reasonable precision [balanced accuracy of 71.2% (sensitivity = 72.1%, specificity = 70.4%, p ≤ 0.001]. (ii) Subdomains 'emotional neglect' and 'emotional abuse' were most predictive for CHR and ROP, while in ROD 'physical abuse' and 'sexual abuse' were most important. The CT pattern was significantly associated with the severity of depressive symptoms in ROD, ROP, and CHR, as well as with the PANSS total and negative domain scores in the CHR patients. No associations between group-separating CT patterns and brain structure were found. CONCLUSIONS: These results indicate that CT poses a transdiagnostic risk factor for mental health disorders, possibly related to depressive symptoms. While differences in the quality of CT exposure exist, diagnostic differentiation
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- 2023
9. Impact of adverse childhood experiences on educational achievements in young people at clinical high risk of developing psychosis
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Tognin, S, Catalan, A, Kempton, MJ, Nelson, B, McGorry, P, Riecher-Rossler, A, Bressan, R, Barrantes-Vidal, N, Krebs, M-O, Nordentoft, M, Ruhrmann, S, Sachs, G, Rutten, BPF, van Os, J, de Haan, L, van der Gaag, M, McGuire, PR, Valmaggia, L, Tognin, S, Catalan, A, Kempton, MJ, Nelson, B, McGorry, P, Riecher-Rossler, A, Bressan, R, Barrantes-Vidal, N, Krebs, M-O, Nordentoft, M, Ruhrmann, S, Sachs, G, Rutten, BPF, van Os, J, de Haan, L, van der Gaag, M, McGuire, PR, and Valmaggia, L
- Abstract
BACKGROUND: Adverse childhood experiences (ACE) can affect educational attainments, but little is known about their impact on educational achievements in people at clinical high risk of psychosis (CHR). METHODS: In total, 344 CHR individuals and 67 healthy controls (HC) were recruited as part of the European Community's Seventh Framework Programme-funded multicenter study the European Network of National Schizophrenia Networks Studying Gene-Environment Interactions (EU-GEI). The brief version of the Child Trauma Questionnaire was used to measure ACE, while educational attainments were assessed using a semi-structured interview. RESULTS: At baseline, compared with HC, the CHR group spent less time in education and had higher rates of ACE, lower rates of employment, and lower estimated intelligence quotient (IQ). Across both groups, the total number of ACE was associated with fewer days in education and lower level of education. Emotional abuse was associated with fewer days in education in HC. Emotional neglect was associated with a lower level of education in CHR, while sexual abuse was associated with a lower level of education in HC. In the CHR group, the total number of ACE, physical abuse, and neglect was significantly associated with unemployment, while emotional neglect was associated with employment. CONCLUSIONS: ACE are strongly associated with developmental outcomes such as educational achievement. Early intervention for psychosis programs should aim at integrating specific interventions to support young CHR people in their educational and vocational recovery. More generally, public health and social interventions focused on the prevention of ACE (or reduce their impact if ACE occur) are recommended.
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- 2023
10. Cognitive functioning throughout adulthood and illness stages in individuals with psychotic disorders and their unaffected siblings
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Velthorst E., Mollon J., Murray R. M., de Haan L., Germeys I. M., Glahn D. C., Arango C., van der Ven E., Di Forti M., Bernardo M., Guloksuz S., Delespaul P., Mezquida G., Amoretti S., Bobes J., Saiz P. A., Garcia-Portilla M. P., Santos J. L., Jimenez-Lopez E., Sanjuan J., Aguilar E. J., Arrojo M., Carracedo A., Lopez G., Gonzalez-Penas J., Parellada M., Atbasoglu C., Saka M. C., Ucok A., Alptekin K., Akdede B., Binbay T., Altinyazar V., Ulas H., Yalincetin B., Gumus-Akay G., Beyaz B. C., Soygur H., Cankurtaran E. S., Kaymak S. U., Maric N. P., Mihaljevic M. M., Petrovic S. A., Mirjanic T., Del-Ben C. M., Ferraro L., Gayer-Anderson C., Jones P. B., Jongsma H. E., Kirkbride J. B., La Cascia C., Lasalvia A., Tosato S., Llorca P. -M., Menezes P. R., Morgan C., Quattrone D., Menchetti M., Selten J. -P., Szoke A., Tarricone I., Tortelli A., McGuire P., Valmaggia L., Kempton M. J., van der Gaag M., Riecher-Rossler A., Bressan R. A., Barrantes-Vidal N., Nelson B., McGorry P., Pantelis C., Krebs M. -O., Ruhrmann S., Sachs G., Rutten B. P. F., van Os J., Alizadeh B. Z., van Amelsvoort T., Bartels-Velthuis A. A., Bruggeman R., van Beveren N. J., Luykx J. J., Cahn W., Simons C. J. P., Kahn R. S., Schirmbeck F., van Winkel R., Calem M., Tognin S., Modinos G., Pisani S., Kraan T. C., van Dam D. S., Burger N., Amminger G. P., Politis A., Goodall J., Borgwardt S., Studerus E., Gadelha A., Brietzke E., Asevedo G., Asevedo E., Zugman A., Dominguez-Martinez T., Monsonet M., Cristobal-Narvaez P., Racioppi A., Kwapil T. R., Kazes M., Daban C., Bourgin J., Gay O., Mam-Lam-Fook C., Nordholm D., Rander L., Krakauer K., Glenthoj L. B., Glenthoj B., Gebhard D., Arnhold J., Klosterkotter J., Lasser I., Winklbaur B., Reichenberg A., Velthorst E., Mollon J., Murray R.M., de Haan L., Germeys I.M., Glahn D.C., Arango C., van der Ven E., Di Forti M., Bernardo M., Guloksuz S., Delespaul P., Mezquida G., Amoretti S., Bobes J., Saiz P.A., Garcia-Portilla M.P., Santos J.L., Jimenez-Lopez E., Sanjuan J., Aguilar E.J., Arrojo M., Carracedo A., Lopez G., Gonzalez-Penas J., Parellada M., Atbasoglu C., Saka M.C., Ucok A., Alptekin K., Akdede B., Binbay T., Altinyazar V., Ulas H., Yalincetin B., Gumus-Akay G., Beyaz B.C., Soygur H., Cankurtaran E.S., Kaymak S.U., Maric N.P., Mihaljevic M.M., Petrovic S.A., Mirjanic T., Del-Ben C.M., Ferraro L., Gayer-Anderson C., Jones P.B., Jongsma H.E., Kirkbride J.B., La Cascia C., Lasalvia A., Tosato S., Llorca P.-M., Menezes P.R., Morgan C., Quattrone D., Menchetti M., Selten J.-P., Szoke A., Tarricone I., Tortelli A., McGuire P., Valmaggia L., Kempton M.J., van der Gaag M., Riecher-Rossler A., Bressan R.A., Barrantes-Vidal N., Nelson B., McGorry P., Pantelis C., Krebs M.-O., Ruhrmann S., Sachs G., Rutten B.P.F., van Os J., Alizadeh B.Z., van Amelsvoort T., Bartels-Velthuis A.A., Bruggeman R., van Beveren N.J., Luykx J.J., Cahn W., Simons C.J.P., Kahn R.S., Schirmbeck F., van Winkel R., Calem M., Tognin S., Modinos G., Pisani S., Kraan T.C., van Dam D.S., Burger N., Amminger G.P., Politis A., Goodall J., Borgwardt S., Studerus E., Gadelha A., Brietzke E., Asevedo G., Asevedo E., Zugman A., Dominguez-Martinez T., Monsonet M., Cristobal-Narvaez P., Racioppi A., Kwapil T.R., Kazes M., Daban C., Bourgin J., Gay O., Mam-Lam-Fook C., Nordholm D., Rander L., Krakauer K., Glenthoj L.B., Glenthoj B., Gebhard D., Arnhold J., Klosterkotter J., Lasser I., Winklbaur B., Reichenberg A., RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Neurosciences, Psychiatry, Clinical Developmental Psychology, World Health Organization (WHO) Collaborating Center, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Adult Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Complex Trait Genetics, and Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep
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0301 basic medicine ,validity ,medicine.medical_treatment ,CHILDHOOD ,Neuropsychological Tests ,FAMÍLIA ,episode ,Cognition ,0302 clinical medicine ,DEFICITS ,Settore MED/48 -Scienze Infermierist. e Tecn. Neuro-Psichiatriche e Riabilitat ,Medicine ,Cognitive impairment ,Psychiatry ,Symptom severity ,Cannabis use ,IMPAIRMENT ,ABILITY ,Psychiatry and Mental health ,Schizophrenia ,RELIABILITY ,Neuropsychological Test ,Life Sciences & Biomedicine ,Human ,Clinical psychology ,Adult ,Biochemistry & Molecular Biology ,impairment ,schizophrenia-patients ,ability ,GENETIC RISK ,Psychotic Disorder ,SCHIZOPHRENIA-PATIENTS ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,SDG 3 - Good Health and Well-being ,Settore M-PSI/08 - Psicologia Clinica ,Humans ,In patient ,Cognitive skill ,VALIDITY ,Antipsychotic ,Molecular Biology ,Settore MED/25 - Psichiatria ,Aged ,Cross-Sectional Studie ,DECLINE ,Science & Technology ,reliability ,business.industry ,Working memory ,Siblings ,Neurosciences ,Diagnostic markers ,medicine.disease ,Cross-Sectional Studies ,030104 developmental biology ,deficits ,Psychotic Disorders ,PSYCHOSIS, COGNITION, MULTICENTRIC STUDY ,Neurosciences & Neurology ,business ,EPISODE ,030217 neurology & neurosurgery - Abstract
The European Community’s Seventh Framework Programme under grant agreement No. HEALTH-F2-2010-241909 (EUGEI); The Spanish sample was supported by the Spanish Ministry of Science and Innovation, Instituto de Salud Carlos III (SAM16PE07CP1, PI16/02012, PI19/024) (...), Velthorst, E., Mollon, J., Murray, R.M., de Haan, L., Germeys, I.M., Glahn, D.C., Arango, C., van der Ven, E., Di Forti, M., Bernardo, M., Guloksuz, S., Delespaul, P., Mezquida, G., Amoretti, S., Bobes, J., Saiz, P.A., García-Portilla, M.P., Santos, J.L., Jiménez-López, E., Sanjuan, J., Aguilar, E.J., Arrojo, M., Carracedo, A., López, G., González-Peñas, J., Parellada, M., Atbaşoğlu, C., Saka, M.C., Üçok, A., Alptekin, K., Akdede, B., Binbay, T., Altınyazar, V., Ulaş, H., Yalınçetin, B., Gümüş-Akay, G., Beyaz, B.C., Soygür, H., Cankurtaran, E.Ş., Kaymak, S.U., Maric, N.P., Mihaljevic, M.M., Petrovic, S.A., Mirjanic, T., Del-Ben, C.M., Ferraro, L., Gayer-Anderson, C., Jones, P.B., Jongsma, H.E., Kirkbride, J.B., La Cascia, C., Lasalvia, A., Tosato, S., Llorca, P.-M., Menezes, P.R., Morgan, C., Quattrone, D., Menchetti, M., Selten, J.-P., Szöke, A., Tarricone, I., Tortelli, A., McGuire, P., Valmaggia, L., Kempton, M.J., van der Gaag, M., Riecher-Rössler, A., Bressan, R.A., Barrantes-Vidal, N., Nelson, B., McGorry, P., Pantelis, C., Krebs, M.-O., Ruhrmann, S., Sachs, G., Rutten, B.P.F., van Os, J., Alizadeh, B.Z., van Amelsvoort, T., Bartels-Velthuis, A.A., Bruggeman, R., van Beveren, N.J., Luykx, J.J., Cahn, W., Simons, C.J.P., Kahn, R.S., Schirmbeck, F., van Winkel, R., Calem, M., Tognin, S., Modinos, G., Pisani, S., Kraan, T.C., van Dam, D.S., Burger, N., Amminger, G.P., Politis, A., Goodall, J., Borgwardt, S., Studerus, E., Gadelha, A., Brietzke, E., Asevedo, G., Asevedo, E., Zugman, A., Domínguez-Martínez, T., Monsonet, M., Cristóbal-Narváez, P., Racioppi, A., Kwapil, T.R., Kazes, M., Daban, C., Bourgin, J., Gay, O., Mam-Lam-Fook, C., Nordholm, D., Rander, L., Krakauer, K., Glenthøj, L.B., Glenthøj, B., Gebhard, D., Arnhold, J., Klosterkötter, J., Lasser, I., Winklbaur, B., Reichenberg, A., EU-GEI High Risk Study
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- 2021
11. Distinct gray matter volume signatures of symptom-based patient subgroups in recent-onset psychosis
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Buciuman, M.O., primary, Vetter, C.S., additional, Tovar, S., additional, Weyer, C., additional, Zhutovsky, P., additional, Khuntia, A., additional, Paul, R., additional, Herrera, A., additional, Ruef, A., additional, Ruhrmann, S., additional, Chisholm, K., additional, Kambeitz, J., additional, Riecher-Rössler, A., additional, Upthegrove, R., additional, Schultze-Lutter, F., additional, Salokangas, R.K.R., additional, Hietala, J., additional, Pantelis, C., additional, Lencer, R., additional, Meisenzahl, E., additional, Wood, S.J., additional, Brambilla, P., additional, Borgwardt, S., additional, Falkai, P., additional, Bertolino, A., additional, and Koutsouleris, N., additional
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- 2023
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12. Alterations of functional connectivity dynamics in affective and psychotic disorders
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Hoheisel, L., primary, Kambeitz-Ilankovic, L., additional, Wenzel, J., additional, Haas, S.S., additional, Antonucci, L.A., additional, Ruef, A., additional, Penzel, N., additional, Schultze-Lutter, F., additional, Lichtenstein, T., additional, Rosen, M., additional, Dwyer, D.B., additional, Salokangas, R.K.R., additional, Lencer, R., additional, Brambilla, P., additional, Borgwardt, S., additional, Wood, S.J., additional, Upthegrove, R., additional, Bertolino, A., additional, Ruhrmann, S., additional, Meisenzahl, E., additional, Koutsouleris, N., additional, Fink, G.R., additional, Daun, S., additional, and Kambeitz, J., additional
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- 2023
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13. EPA guidance on the early intervention in clinical high risk states of psychoses
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Schmidt, S.J., Schultze-Lutter, F., Schimmelmann, B.G., Maric, N.P., Salokangas, R.K.R., Riecher-Rössler, A., van der Gaag, M., Meneghelli, A., Nordentoft, M., Marshall, M., Morrison, A., Raballo, A., Klosterkötter, J., and Ruhrmann, S.
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- 2015
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14. EPA guidance on the early detection of clinical high risk states of psychoses
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Schultze-Lutter, F., Michel, C., Schmidt, S.J., Schimmelmann, B.G., Maric, N.P., Salokangas, R.K.R., Riecher-Rössler, A., van der Gaag, M., Nordentoft, M., Raballo, A., Meneghelli, A., Marshall, M., Morrison, A., Ruhrmann, S., and Klosterkötter, J.
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- 2015
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15. Impact of adverse childhood experiences on educational achievements in young people at clinical high risk of developing psychosis
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Tognin, S., Catalan, A., Kempton, M.J., Nelson, B., McGorry, P., Riecher-Rossler, A., Bressan, R., Barrantes-Vidal, N., Krebs, M.O., Nordentoft, M., Ruhrmann, S., Sachs, G., Rutten, B.P.F., van Os, J., de Haan, L., van der Gaag, M., McGuire, P., Valmaggia, L.R., RS: MHeNs - R3 - Neuroscience, Psychiatrie & Neuropsychologie, and MUMC+: MA Psychiatrie (3)
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education ,EMOTION RECOGNITION ,ADULTS ,clinical high risk for psychosis ,Psychiatry and Mental health ,INDIVIDUALS ,ULTRA-HIGH RISK ,SCHOOL ,ACADEMIC-ACHIEVEMENT ,EMPLOYMENT ,Adverse childhood experiences ,PROTECTIVE FACTORS ,MENTAL-HEALTH ,TRAUMA - Abstract
Background Adverse childhood experiences (ACE) can affect educational attainments, but little is known about their impact on educational achievements in people at clinical high risk of psychosis (CHR). Methods In total, 344 CHR individuals and 67 healthy controls (HC) were recruited as part of the European Community’s Seventh Framework Programme-funded multicenter study the European Network of National Schizophrenia Networks Studying Gene–Environment Interactions (EU-GEI). The brief version of the Child Trauma Questionnaire was used to measure ACE, while educational attainments were assessed using a semi-structured interview. Results At baseline, compared with HC, the CHR group spent less time in education and had higher rates of ACE, lower rates of employment, and lower estimated intelligence quotient (IQ). Across both groups, the total number of ACE was associated with fewer days in education and lower level of education. Emotional abuse was associated with fewer days in education in HC. Emotional neglect was associated with a lower level of education in CHR, while sexual abuse was associated with a lower level of education in HC. In the CHR group, the total number of ACE, physical abuse, and neglect was significantly associated with unemployment, while emotional neglect was associated with employment. Conclusions ACE are strongly associated with developmental outcomes such as educational achievement. Early intervention for psychosis programs should aim at integrating specific interventions to support young CHR people in their educational and vocational recovery. More generally, public health and social interventions focused on the prevention of ACE (or reduce their impact if ACE occur) are recommended.
- Published
- 2023
16. Methodological Approach to Evaluate Product Adaptations Based on Real Options
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Lanza, G., Ruhrmann, S., and Chakrabarti, Amaresh, editor
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- 2013
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17. Früherkennung und Frühintervention im initialen Prodrom vor der psychotischen Erstmanifestation
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Klosterkötter, J., Schultze-Lutter, F., Ruhrmann, S., Möller, Hans-Jürgen, editor, and Müller, Norbert, editor
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- 2006
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18. Prediction of psychosis in clinical high-risk patients by the Schizotypal Personality Questionnaire. Results of the EPOS project
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Salokangas, R.K.R., Dingemans, P., Heinimaa, M., Svirskis, T., Luutonen, S., Hietala, J., Ruhrmann, S., Juckel, G., Graf von Reventlow, H., Linszen, D., Birchwood, M., Patterson, P., Schultze-Lutter, F., and Klosterkötter, J.
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- 2013
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19. Physical illnesses, developmental risk factors and psychiatric diagnoses among subjects at risk of psychosis
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Korkeila, J., Salokangas, R.K.R., Heinimaaa, M., Svirskis, T., Laine, T., Ruhrmann, S., von Reventlow, H., Juckel, G., Linszen, D., Birchwood, M., and Klosterkötter, J.
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- 2013
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20. Verbal memory performance predicts remission and functional outcome in people at clinical high-risk for psychosis
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Hedges, EP, Dickson, H, Tognin, S, Modinos, G, Antoniades, M, van der Gaag, M, de Haan, L, McGorry, P, Pantelis, C, Riecher-Rossler, A, Bressan, R, Barrantes-Vidal, N, Krebs, M-O, Nordentoft, M, Ruhrmann, S, Sachs, G, Rutten, BP, van Os, J, Valmaggia, LR, McGuire, P, Kempton, MJ, Hedges, EP, Dickson, H, Tognin, S, Modinos, G, Antoniades, M, van der Gaag, M, de Haan, L, McGorry, P, Pantelis, C, Riecher-Rossler, A, Bressan, R, Barrantes-Vidal, N, Krebs, M-O, Nordentoft, M, Ruhrmann, S, Sachs, G, Rutten, BP, van Os, J, Valmaggia, LR, McGuire, P, and Kempton, MJ
- Abstract
Robust deficits in cognitive functioning are present in people with psychosis and are evident in the early stages of the disorder. Impairments in verbal memory and verbal fluency are reliably seen in individuals at clinical high-risk for psychosis (CHR) compared to healthy populations. As previous studies have shown a relationship between cognition and longer-term outcomes in schizophrenia, the aim of this paper was to explore whether verbal memory and verbal fluency performance predicted outcomes in a large CHR sample recruited as part of the EU-GEI High Risk Study. Participants included 316 CHR individuals, 90.8% of whom were not currently on antipsychotic medication, and 60 healthy controls. Verbal memory and verbal fluency performance were measured at baseline. At two-year follow-up, CHR individuals were assessed by three different outcome measures, those who did and did not (1) transition to psychosis, (2) experience burdening impairment or disabilities, or (3) remit clinically from CHR status. Individuals with CHR displayed significant verbal memory and verbal fluency deficits at baseline compared to healthy controls (Hedges' g effect size = 0.24 to 0.66). There were no significant differences in cognitive performance of those who did and did not transition to psychosis. However, impaired immediate verbal recall predicted both functional disability and non-remission from the CHR state. Results remained significant when analyses were restricted to only include antipsychotic-free CHR participants. These findings may inform the development of early interventions designed to improve cognitive deficits in the early stages of psychosis.
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- 2022
21. Neurobiologically Based Stratification of Recent- Onset Depression and Psychosis: Identification of Two Distinct Transdiagnostic Phenotypes
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Lalousis, PA, Schmaal, L, Wood, SJ, Reniers, RLEP, Barnes, NM, Chisholm, K, Griffiths, SL, Stainton, A, Wen, J, Hwang, G, Davatzikos, C, Wenzel, J, Kambeitz-Ilankovic, L, Andreou, C, Bonivento, C, Dannlowski, U, Ferro, A, Lichtenstein, T, Riecher-Rossler, A, Romer, G, Upthegrove, R, Lencer, R, Pantelis, C, Ruhrmann, S, Salokangas, RKR, Schultze-Lutter, F, Schmidt, A, Meisenzahl, E, Koutsouleris, N, Dwyer, D, Rosen, M, Bertolino, A, Borgwardt, S, Brambilla, P, Kambeitz, J, Lalousis, PA, Schmaal, L, Wood, SJ, Reniers, RLEP, Barnes, NM, Chisholm, K, Griffiths, SL, Stainton, A, Wen, J, Hwang, G, Davatzikos, C, Wenzel, J, Kambeitz-Ilankovic, L, Andreou, C, Bonivento, C, Dannlowski, U, Ferro, A, Lichtenstein, T, Riecher-Rossler, A, Romer, G, Upthegrove, R, Lencer, R, Pantelis, C, Ruhrmann, S, Salokangas, RKR, Schultze-Lutter, F, Schmidt, A, Meisenzahl, E, Koutsouleris, N, Dwyer, D, Rosen, M, Bertolino, A, Borgwardt, S, Brambilla, P, and Kambeitz, J
- Abstract
BACKGROUND: Identifying neurobiologically based transdiagnostic categories of depression and psychosis may elucidate heterogeneity and provide better candidates for predictive modeling. We aimed to identify clusters across patients with recent-onset depression (ROD) and recent-onset psychosis (ROP) based on structural neuroimaging data. We hypothesized that these transdiagnostic clusters would identify patients with poor outcome and allow more accurate prediction of symptomatic remission than traditional diagnostic structures. METHODS: HYDRA (Heterogeneity through Discriminant Analysis) was trained on whole-brain volumetric measures from 577 participants from the discovery sample of the multisite PRONIA study to identify neurobiologically driven clusters, which were then externally validated in the PRONIA replication sample (n = 404) and three datasets of chronic samples (Centre for Biomedical Research Excellence, n = 146; Mind Clinical Imaging Consortium, n = 202; Munich, n = 470). RESULTS: The optimal clustering solution was two transdiagnostic clusters (cluster 1: n = 153, 67 ROP, 86 ROD; cluster 2: n = 149, 88 ROP, 61 ROD; adjusted Rand index = 0.618). The two clusters contained both patients with ROP and patients with ROD. One cluster had widespread gray matter volume deficits and more positive, negative, and functional deficits (impaired cluster), and one cluster revealed a more preserved neuroanatomical signature and more core depressive symptomatology (preserved cluster). The clustering solution was internally and externally validated and assessed for clinical utility in predicting 9-month symptomatic remission, outperforming traditional diagnostic structures. CONCLUSIONS: We identified two transdiagnostic neuroanatomically informed clusters that are clinically and biologically distinct, challenging current diagnostic boundaries in recent-onset mental health disorders. These results may aid understanding of the etiology of poor outcome patients transdiagnost
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- 2022
22. Impact of smoking behavior on cognitive functioning in persons at risk for psychosis and healthy controls: A longitudinal study (vol 64, e60, 2021)
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van der Heijden, HS, Schirmbeck, F, Kempton, MJ, van der Gaag, M, Allott, K, Nelson, B, Ruhrmann, S, de Haan, L, Vermeulen, JM, van der Heijden, HS, Schirmbeck, F, Kempton, MJ, van der Gaag, M, Allott, K, Nelson, B, Ruhrmann, S, de Haan, L, and Vermeulen, JM
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- 2022
23. Pattern of predictive features of continued cannabis use in patients with recent-onset psychosis and clinical high-risk for psychosis
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Penzel, N, Sanfelici, R, Antonucci, LA, Betz, LT, Dwyer, D, Ruef, A, Cho, KIK, Cumming, P, Pogarell, O, Howes, O, Falkai, P, Upthegrove, R, Borgwardt, S, Brambilla, P, Lencer, R, Meisenzahl, E, Schultze-Lutter, F, Rosen, M, Lichtenstein, T, Kambeitz-Ilankovic, L, Ruhrmann, S, Salokangas, RKR, Pantelis, C, Wood, SJ, Quednow, BB, Pergola, G, Bertolino, A, Koutsouleris, N, Kambeitz, J, Penzel, N, Sanfelici, R, Antonucci, LA, Betz, LT, Dwyer, D, Ruef, A, Cho, KIK, Cumming, P, Pogarell, O, Howes, O, Falkai, P, Upthegrove, R, Borgwardt, S, Brambilla, P, Lencer, R, Meisenzahl, E, Schultze-Lutter, F, Rosen, M, Lichtenstein, T, Kambeitz-Ilankovic, L, Ruhrmann, S, Salokangas, RKR, Pantelis, C, Wood, SJ, Quednow, BB, Pergola, G, Bertolino, A, Koutsouleris, N, and Kambeitz, J
- Abstract
Continued cannabis use (CCu) is an important predictor for poor long-term outcomes in psychosis and clinically high-risk patients, but no generalizable model has hitherto been tested for its ability to predict CCu in these vulnerable patient groups. In the current study, we investigated how structured clinical and cognitive assessments and structural magnetic resonance imaging (sMRI) contributed to the prediction of CCu in a group of 109 patients with recent-onset psychosis (ROP). We tested the generalizability of our predictors in 73 patients at clinical high-risk for psychosis (CHR). Here, CCu was defined as any cannabis consumption between baseline and 9-month follow-up, as assessed in structured interviews. All patients reported lifetime cannabis use at baseline. Data from clinical assessment alone correctly classified 73% (p < 0.001) of ROP and 59 % of CHR patients. The classifications of CCu based on sMRI and cognition were non-significant (ps > 0.093), and their addition to the interview-based predictor via stacking did not improve prediction significantly, either in the ROP or CHR groups (ps > 0.065). Lower functioning, specific substance use patterns, urbanicity and a lack of other coping strategies contributed reliably to the prediction of CCu and might thus represent important factors for guiding preventative efforts. Our results suggest that it may be possible to identify by clinical measures those psychosis-spectrum patients at high risk for CCu, potentially allowing to improve clinical care through targeted interventions. However, our model needs further testing in larger samples including more diverse clinical populations before being transferred into clinical practice.
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- 2022
24. Investigating the T cell response to Anoctamin-2 and Epstein-Barr virus nuclear antigen 1 in multiple sclerosis using antigen-coupled beads
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Thomas, O., Bronge, M., Hogelin, K. Asplund, Carvalho-Queiroz, C., Ruhrmann, S., Nilsson, O., Holmgren, E., Gräslund, Torbjörn, Martin, R., Gafvelin, G., Olsson, T., Gronlund, H., Thomas, O., Bronge, M., Hogelin, K. Asplund, Carvalho-Queiroz, C., Ruhrmann, S., Nilsson, O., Holmgren, E., Gräslund, Torbjörn, Martin, R., Gafvelin, G., Olsson, T., and Gronlund, H.
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QC 20221212
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- 2022
25. The Relationship Between Grey Matter Volume and Clinical and Functional Outcomes in People at Clinical High Risk for Psychosis.
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Tognin, S, Richter, A, Kempton, MJ, Modinos, G, Antoniades, M, Azis, M, Allen, P, Bossong, MG, Perez, J, Pantelis, C, Nelson, B, Amminger, P, Riecher-Rössler, A, Barrantes-Vidal, N, Krebs, M-O, Glenthøj, B, Ruhrmann, S, Sachs, G, Rutten, BPF, de Haan, L, van der Gaag, M, EU-GEI High Risk Study Group, Valmaggia, LR, McGuire, P, Tognin, S, Richter, A, Kempton, MJ, Modinos, G, Antoniades, M, Azis, M, Allen, P, Bossong, MG, Perez, J, Pantelis, C, Nelson, B, Amminger, P, Riecher-Rössler, A, Barrantes-Vidal, N, Krebs, M-O, Glenthøj, B, Ruhrmann, S, Sachs, G, Rutten, BPF, de Haan, L, van der Gaag, M, EU-GEI High Risk Study Group, Valmaggia, LR, and McGuire, P
- Abstract
OBJECTIVE: To examine the association between baseline alterations in grey matter volume (GMV) and clinical and functional outcomes in people at clinical high risk (CHR) for psychosis. METHODS: 265 CHR individuals and 92 healthy controls were recruited as part of a prospective multi-center study. After a baseline assessment using magnetic resonance imaging (MRI), participants were followed for at least two years to determine clinical and functional outcomes, including transition to psychosis (according to the Comprehensive Assessment of an At Risk Mental State, CAARMS), level of functioning (according to the Global Assessment of Functioning), and symptomatic remission (according to the CAARMS). GMV was measured in selected cortical and subcortical regions of interest (ROI) based on previous studies (ie orbitofrontal gyrus, cingulate gyrus, gyrus rectus, inferior temporal gyrus, parahippocampal gyrus, striatum, and hippocampus). Using voxel-based morphometry, we analysed the relationship between GMV and clinical and functional outcomes. RESULTS: Within the CHR sample, a poor functional outcome (GAF < 65) was associated with relatively lower GMV in the right striatum at baseline (P < .047 after Family Wise Error correction). There were no significant associations between baseline GMV and either subsequent remission or transition to psychosis. CONCLUSIONS: In CHR individuals, lower striatal GMV was associated with a poor level of overall functioning at follow-up. This finding was not related to effects of antipsychotic or antidepressant medication. The failure to replicate previous associations between GMV and later psychosis onset, despite studying a relatively large sample, is consistent with the findings of recent large-scale multi-center studies.
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- 2022
26. The impact of visual dysfunctions in recent-onset psychosis and clinical high-risk state for psychosis
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Schwarzer, JM, Meyhoefer, I, Antonucci, LA, Kambeitz-Ilankovic, L, Surmann, M, Bienek, O, Romer, G, Dannlowski, U, Hahn, T, Korda, A, Dwyer, DB, Ruef, A, Haas, SS, Rosen, M, Lichtenstein, T, Ruhrmann, S, Kambeitz, J, Salokangas, RKR, Pantelis, C, Schultze-Lutter, F, Meisenzahl, E, Brambilla, P, Bertolino, A, Borgwardt, S, Upthegrove, R, Koutsouleris, N, Lencer, R, Schwarzer, JM, Meyhoefer, I, Antonucci, LA, Kambeitz-Ilankovic, L, Surmann, M, Bienek, O, Romer, G, Dannlowski, U, Hahn, T, Korda, A, Dwyer, DB, Ruef, A, Haas, SS, Rosen, M, Lichtenstein, T, Ruhrmann, S, Kambeitz, J, Salokangas, RKR, Pantelis, C, Schultze-Lutter, F, Meisenzahl, E, Brambilla, P, Bertolino, A, Borgwardt, S, Upthegrove, R, Koutsouleris, N, and Lencer, R
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Subtle subjective visual dysfunctions (VisDys) are reported by about 50% of patients with schizophrenia and are suggested to predict psychosis states. Deeper insight into VisDys, particularly in early psychosis states, could foster the understanding of basic disease mechanisms mediating susceptibility to psychosis, and thereby inform preventive interventions. We systematically investigated the relationship between VisDys and core clinical measures across three early phase psychiatric conditions. Second, we used a novel multivariate pattern analysis approach to predict VisDys by resting-state functional connectivity within relevant brain systems. VisDys assessed with the Schizophrenia Proneness Instrument (SPI-A), clinical measures, and resting-state fMRI data were examined in recent-onset psychosis (ROP, n = 147), clinical high-risk states of psychosis (CHR, n = 143), recent-onset depression (ROD, n = 151), and healthy controls (HC, n = 280). Our multivariate pattern analysis approach used pairwise functional connectivity within occipital (ON) and frontoparietal (FPN) networks implicated in visual information processing to predict VisDys. VisDys were reported more often in ROP (50.34%), and CHR (55.94%) than in ROD (16.56%), and HC (4.28%). Higher severity of VisDys was associated with less functional remission in both CHR and ROP, and, in CHR specifically, lower quality of life (Qol), higher depressiveness, and more severe impairment of visuospatial constructability. ON functional connectivity predicted presence of VisDys in ROP (balanced accuracy 60.17%, p = 0.0001) and CHR (67.38%, p = 0.029), while in the combined ROP + CHR sample VisDys were predicted by FPN (61.11%, p = 0.006). These large-sample study findings suggest that VisDys are clinically highly relevant not only in ROP but especially in CHR, being closely related to aspects of functional outcome, depressiveness, and Qol. Findings from multivariate pattern analysis support a model of functional integrit
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- 2022
27. Differential trajectories of tobacco smoking in people at ultra-high risk for psychosis: Associations with clinical outcomes.
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Schirmbeck, F, van der Ven, E, Boyette, L-L, McGuire, P, Valmaggia, LR, Kempton, MJ, van der Gaag, M, Riecher-Rössler, A, Barrantes-Vidal, N, Nelson, B, Krebs, M-O, Ruhrmann, S, Sachs, G, Rutten, BPF, Nordentoft, M, EU-GEI High Risk Study Group, de Haan, L, Vermeulen, JM, Schirmbeck, F, van der Ven, E, Boyette, L-L, McGuire, P, Valmaggia, LR, Kempton, MJ, van der Gaag, M, Riecher-Rössler, A, Barrantes-Vidal, N, Nelson, B, Krebs, M-O, Ruhrmann, S, Sachs, G, Rutten, BPF, Nordentoft, M, EU-GEI High Risk Study Group, de Haan, L, and Vermeulen, JM
- Abstract
OBJECTIVE: People at ultra-high risk (UHR) for psychosis have a high prevalence of tobacco smoking, and rates are even higher among the subgroup that later develop a psychotic disorder. However, the longitudinal relationship between the course of tobacco smoking and clinical outcomes in UHR subjects is unknown. METHODS: We investigated associations between tobacco smoking and clinical outcomes in a prospective study of UHR individuals (n = 324). Latent class mixed model analyses were used to identify trajectories of smoking severity. Mixed effects models were applied to investigate associations between smoking trajectory class and the course of attenuated psychotic symptoms (APS) and affective symptoms, as assessed using the CAARMS. RESULTS: We identified four different classes of smoking trajectory: (i) Persistently High (n = 110), (ii) Decreasing (n = 29), (iii) Persistently Low (n = 165) and (iv) Increasing (n = 20). At two-year follow-up, there had been a greater increase in APS in the Persistently High class than for both the Persistently Low (ES = 9.77, SE = 4.87, p = 0.046) and Decreasing (ES = 18.18, SE = 7.61, p = 0.018) classes. There were no differences between smoking classes in the incidence of psychosis. There was a greater reduction in the severity of emotional disturbance and general symptoms in the Decreasing class than in the High (ES = -10.40, SE = 3.41, p = 0.003; ES = -22.36, SE = 10.07, p = 0.027), Increasing (ES = -11.35, SE = 4.55, p = 0.014; ES = -25.58, SE = 13.17, p = 0.050) and Low (ES = -11.38, SE = 3.29, p = 0.001; ES = -27.55, SE = 9.78, p = 0.005) classes, respectively. CONCLUSIONS: These findings suggests that in UHR subjects persistent tobacco smoking is associated with an unfavorable course of psychotic symptoms, whereas decrease in the number of cigarettes smoked is associated with improvement in affective symptoms. Future research into smoking cessation interventions in the early stages of psychoses is required to shine light on
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- 2022
28. Relationships between global functioning and neuropsychological predictors in subjects at high risk of psychosis or with a recent onset of depression
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Squarcina, L, Kambeitz-Ilankovic, L, Bonivento, C, Prunas, C, Oldani, L, Wenzel, J, Ruef, A, Dwyer, D, Ferro, A, Borgwardt, S, Kambeitz, J, Lichtenstein, TK, Meisenzahl, E, Pantelis, C, Rosen, M, Upthegrove, R, Antonucci, LA, Bertolino, A, Lencer, R, Ruhrmann, S, Salokangas, RRK, Schultze-Lutter, F, Chisholm, K, Stainton, A, Wood, SJ, Koutsouleris, N, Brambilla, P, Squarcina, L, Kambeitz-Ilankovic, L, Bonivento, C, Prunas, C, Oldani, L, Wenzel, J, Ruef, A, Dwyer, D, Ferro, A, Borgwardt, S, Kambeitz, J, Lichtenstein, TK, Meisenzahl, E, Pantelis, C, Rosen, M, Upthegrove, R, Antonucci, LA, Bertolino, A, Lencer, R, Ruhrmann, S, Salokangas, RRK, Schultze-Lutter, F, Chisholm, K, Stainton, A, Wood, SJ, Koutsouleris, N, and Brambilla, P
- Abstract
OBJECTIVE: Psychotic disorders are frequently associated with decline in functioning and cognitive difficulties are observed in subjects at clinical high risk (CHR) for psychosis. In this work, we applied automatic approaches to neurocognitive and functioning measures, with the aim of investigating the link between global, social and occupational functioning, and cognition. METHODS: 102 CHR subjects and 110 patients with recent onset depression (ROD) were recruited. Global assessment of functioning (GAF) related to symptoms (GAF-S) and disability (GAF-D). and global functioning social (GF-S) and role (GF-R), at baseline and of the previous month and year, and a set of neurocognitive measures, were used for classification and regression. RESULTS: Neurocognitive measures related to GF-R at baseline (r = 0.20, p = 0.004), GF-S at present (r = 0.14, p = 0.042) and of the past year (r = 0.19, p = 0.005), for GAF-F of the past month (r = 0.24, p < 0.001) and GAF-D of the past year (r = 0.28, p = 0.002). Classification reached values of balanced accuracy of 61% for GF-R and GAF-D. CONCLUSION: We found that neurocognition was related to psychosocial functioning. More specifically, a deficit in executive functions was associated to poor social and occupational functioning.
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- 2022
29. Angebote zur Früherkennung von Psychosen und bipolaren Störungen in Deutschland: Bestandsaufnahme
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Leopold, K., Nikolaides, A., Bauer, M., Bechdolf, A., Correll, C.U., Jessen, F., Juckel, G., Karow, A., Lambert, M., Klosterkötter, J., Ruhrmann, S., Pfeiffer, S., and Pfennig, A.
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- 2015
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30. Transdiagnostic individualised brain texture changes that are associated with symptom severity using contrast feature map
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Korda, A., Andreou, C., Ruef, A., Lencer, R., Schmidt, A., Dannlowski, U., Kambeitz-Ilankovic, L., Dwyer, D.B., Kambeitz, J., Wenzel, J., Ruhrmann, S., Salokangas, R.K.R., Pantelis, C., Schultze-Lutter, F., Meisenzahl, E., Brambilla, P., Lalousis, P.A., Upthegrove, R., Koutsouleris, N., and Borgwardt, S.
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- 2022
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31. The interaction between environment and brain in recent-onset psychiatric disorders – a multivariate PLS analysis
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Pigoni, A., Maggioni, E., Ferro, A., Delvecchio, G., Kambeitz, J., Penzel, N., Kambeitz-Ilankovic, L., Rosen, M., Reuf, A., Dwyer, D., Ruhrmann, S., Schmidt, A., Schultze-Lutter, F., Falkai, P., Salokangas, R., Antonucci, L., Bertolino, A., Upthegrove, R., Pantelis, C., Meisenzahl, E., Wood, S., Borgwardt, S., Koutsouleris, N., and Brambilla, P.
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- 2022
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32. Identification of subtle visual dysfunctions in recent onset psychosis and clinical high-risk state using entropy and energy feature maps
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Korda, A., Meyhöfer, I., Romer, G., Dannlowski, U., Andreou, C., Schmidt, A., Kambeitz-Ilankovic, L., Dwyer, D.B., Ruef, A., Kambeitz, J., Ruhrmann, S., Salokangas, R.K.R., Pantelis, C., Schultze-Lutter, F., Meisenzahl, E., Brambilla, P., Bertolino, A., Upthegrove, R., Koutsouleris, N., Borgwardt, S., and Lencer, R.
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- 2022
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33. Metabolismustheorie des therapeutischen Schlafentzugs
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Kasper, S., Ruhrmann, S., Heßelmann, B., Rao, M. L., Möller, H.-J., Möller, H.-J., editor, Müller-Spahn, F., editor, and Kurtz, G., editor
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- 1996
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34. Veränderung von Schilddrüsenparametern unter Fluoxetin und Lichttherapie
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Ruhrmann, S., Kasper, S., Hawellek, B., Biersack, H.-J., Möller, H.-J., Möller, H.-J., editor, Müller-Spahn, F., editor, and Kurtz, G., editor
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- 1996
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35. Beziehungen zwischen serotonergen Parametern und Lichttherapie bei saisonal-abhängiger Depression
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Ruhrmann, S., Kasper, S., Rao, M.-L., Hawellek, B., Möller, H.-J., Möller, H.-J., editor, Müller-Spahn, F., editor, and Kurtz, G., editor
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- 1996
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36. Biochemische Aspekte des therapeutischen Schlafentzuges
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Ruhrmann, S., Kasper, Siegfried, editor, and Möller, Hans-Jürgen, editor
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- 1996
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37. Development of a stage-dependent prognostic model to predict psychosis in ultra-high-risk patients seeking treatment for co-morbid psychiatric disorders
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Ising, H. K., Ruhrmann, S., Burger, N. A. F. M., Rietdijk, J., Dragt, S., Klaassen, R. M. C., van den Berg, D. P. G., Nieman, D. H., Boonstra, N., Linszen, D. H., Wunderink, L., Smit, F., Veling, W., and van der Gaag, M.
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- 2016
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38. Objektivierung der quantitativen Lichtexposition während Lichttherapie durch kontinuierliche photometrische Aufzeichnung
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Ruhrmann, S., Kasper, S., Höflich, G., Hawellek, B., Danos, P., Möller, H.-J., and Baumann, Pierre, editor
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- 1993
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39. Angst bei saisonal-abhängiger Depression (SAD) und Lichttherapie
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Ruhrmann, S., Kasper, S., Peters, S., Danos, P., Höflich, G., Möller, H.-J., and Baumann, Pierre, editor
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- 1993
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40. Quantitatives EEG und Ansprechen auf therapeutischen Schlafentzug bei depressiven Patienten
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Kasper, S., Danos, P., Scholl, H.-P., Ruhrmann, S., Höflich, G., Möller, H.-J., and Baumann, Pierre, editor
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- 1993
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41. Hormonelle Verlaufsparameter unter Elektrokrampftherapie bei Patientinnen mit therapieresistenter Depression
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Kasper, S., Höflich, G., Ruhrmann, S., Rao, M.-L., Danos, P., Scholl, H.-P., Möller, H.-J., and Baumann, Pierre, editor
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- 1993
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42. Einfluß von endogenen und exogenen Liganden auf serotonerge Aktivität bei psychiatrischen Patienten und gesunden Probanden
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Rao, M. L., Fuger, J., Andres, A. H., Ruhrmann, S., Kasper, S., Deister, A., Möller, H.-J., and Baumann, Pierre, editor
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- 1993
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43. Schmerz aus psychiatrischer Sicht
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Kasper, S., Ruhrmann, S., Möller, Hans-Jürgen, editor, and Przuntek, Horst, editor
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- 1993
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44. Personalisierte Medizin in der Psychiatrie und Psychotherapie: Ein Überblick über mögliche Biomarker-gestützte Methoden zur Früherkennung von Psychosen
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Koutsouleris, N., Ruhrmann, S., Falkai, P., and Maier, W.
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- 2013
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45. Genome-wide association study of obsessive-compulsive disorder
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Stewart, S E, Yu, D, Scharf, J M, Neale, B M, Fagerness, J A, Mathews, C A, Arnold, P D, Evans, P D, Gamazon, E R, Osiecki, L, McGrath, L, Haddad, S, Crane, J, Hezel, D, Illman, C, Mayerfeld, C, Konkashbaev, A, Liu, C, Pluzhnikov, A, Tikhomirov, A, Edlund, C K, Rauch, S L, Moessner, R, Falkai, P, Maier, W, Ruhrmann, S, Grabe, H-J, Lennertz, L, Wagner, M, Bellodi, L, Cavallini, M C, Richter, M A, Cook, Jr, E H, Kennedy, J L, Rosenberg, D, Stein, D J, Hemmings, S M J, Lochner, C, Azzam, A, Chavira, D A, Fournier, E, Garrido, H, Sheppard, B, Umaña, P, Murphy, D L, Wendland, J R, Veenstra-VanderWeele, J, Denys, D, Blom, R, Deforce, D, Van Nieuwerburgh, F, Westenberg, H G M, Walitza, S, Egberts, K, Renner, T, Miguel, E C, Cappi, C, Hounie, A G, Conceição do Rosário, M, Sampaio, A S, Vallada, H, Nicolini, H, Lanzagorta, N, Camarena, B, Delorme, R, Leboyer, M, Pato, C N, Pato, M T, Voyiaziakis, E, Heutink, P, Cath, D C, Posthuma, D, Smit, J H, Samuels, J, Bienvenu, O J, Cullen, B, Fyer, A J, Grados, M A, Greenberg, B D, McCracken, J T, Riddle, M A, Wang, Y, Coric, V, Leckman, J F, Bloch, M, Pittenger, C, Eapen, V, Black, D W, Ophoff, R A, Strengman, E, Cusi, D, Turiel, M, Frau, F, Macciardi, F, Gibbs, J R, Cookson, M R, Singleton, A, Hardy, J, Crenshaw, A T, Parkin, M A, Mirel, D B, Conti, D V, Purcell, S, Nestadt, G, Hanna, G L, Jenike, M A, Knowles, J A, Cox, N, and Pauls, D L
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- 2013
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46. Association between age of cannabis initiation and gray matter covariance networks in recent onset psychosis
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Penzel, N., Antonucci, L. A., Betz, L. T., Sanfelici, R., Weiske, J., Pogarell, O., Cumming, P., Quednow, B. B., Howes, O., Falkai, P., Upthegrove, R., Bertolino, A., Borgwardt, S., Brambilla, P., Lencer, R., Meisenzahl, E., Rosen, M., Haidl, T., Kambeitz-Ilankovic, L., Ruhrmann, S., Salokangas, R. R. K., Pantelis, C., Wood, S. J., Koutsouleris, N., Kambeitz, J., Sen Dong, M., Erkens, A., Gussmann, E., Haas, S., Hasan, A., Hoff, C., Khanyaree, I., Melo, A., Muckenhuber-Sternbauer, S., Kohler, J., Ozturk, O. F., Popovic, D., Rangnick, A., von Saldern, S., Spangemacher, M., Tupac, A., Urquijo, M. F., Wosgien, A., Betz, L., Blume, K., Seves, M., Kaiser, N., Pilgram, T., Lichtenstein, T., Wenzel, J., Woopen, C., Andreou, C., Egloff, L., Harrisberger, F., Lenz, C., Leanza, L., Mackintosh, A., Smieskova, R., Studerus, E., Walter, A., Widmayer, S., Chisholm, K., Day, C., Griffiths, S. L., Iqbal, M., Pelton, M., Mallikarjun, P., Stainton, A., Lin, A., Salokangas, R. K. R., Denissoff, A., Ellila, A., From, T., Heinimaa, M., Ilonen, T., Jalo, P., Laurikainen, H., Lehtinen, M., Luutonen, A., Makela, A., Paju, J., Pesonen, H., Armio (Saila), R. -L., Sormunen, E., Toivonen, A., Turtonen, O., Solana, A. B., Abraham, M., Hehn, N., Schirmer, T., Altamura, C., Belleri, M., Bottinelli, F., Ferro, A., Re, M., Monzani, E., Percudani, M., Sberna, M., D'Agostino, A., Del Fabro, L., Perna, G., Nobile, M., Alciati, A., Balestrieri, M., Bonivento, C., Cabras, G., Fabbro, F., Garzitto, M., Piccin, S., Blasi, G., Pergola, G., Caforio, G., Faio, L., Quarto, T., Gelao, B., Romano, R., Andriola, I., Falsetti, A., Barone, M., Passatiore, R., Sangiuliano, M., Surman, M., Bienek, O., Romer, G., Dannlowski, U., Schultze-Lutter, F., Schmidt-Kraepelin, C., Neufang, S., Korda, A., and Rohner, H.
- Subjects
Psychosis ,Adolescent ,Inferior frontal gyrus ,610 Medicine & health ,Article ,medicine ,Humans ,Gray Matter ,Association (psychology) ,Cannabis ,Pharmacology ,biology ,business.industry ,Confounding ,medicine.disease ,biology.organism_classification ,Magnetic Resonance Imaging ,Psychiatry and Mental health ,Risk factors ,Psychotic Disorders ,Schizophrenia ,Cohort ,business ,Insula ,Neuroscience ,Clinical psychology - Abstract
Cannabis use during adolescence is associated with an increased risk of developing psychosis. According to a current hypothesis, this results from detrimental effects of early cannabis use on brain maturation during this vulnerable period. However, studies investigating the interaction between early cannabis use and brain structural alterations hitherto reported inconclusive findings. We investigated effects of age of cannabis initiation on psychosis using data from the multicentric Personalized Prognostic Tools for Early Psychosis Management (PRONIA) and the Cannabis Induced Psychosis (CIP) studies, yielding a total sample of 102 clinically-relevant cannabis users with recent onset psychosis. GM covariance underlies shared maturational processes. Therefore, we performed source-based morphometry analysis with spatial constraints on structural brain networks showing significant alterations in schizophrenia in a previous multisite study, thus testing associations of these networks with the age of cannabis initiation and with confounding factors. Earlier cannabis initiation was associated with more severe positive symptoms in our cohort. Greater gray matter volume (GMV) in the previously identified cerebellar schizophrenia-related network had a significant association with early cannabis use, independent of several possibly confounding factors. Moreover, GMV in the cerebellar network was associated with lower volume in another network previously associated with schizophrenia, comprising the insula, superior temporal, and inferior frontal gyrus. These findings are in line with previous investigations in healthy cannabis users, and suggest that early initiation of cannabis perturbs the developmental trajectory of certain structural brain networks in a manner imparting risk for psychosis later in life.
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- 2021
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47. Genome-wide association study of pediatric obsessive-compulsive traits: shared genetic risk between traits and disorder
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Burton, CL, Lemire, M, Xiao, B, Corfield, EC, Erdman, L, Bralten, J, Poelmans, G, Yu, D, Shaheen, SM, Goodale, T, Sinopoli, VM, Askland, KD, Barlassina, C, Bienvenu, OJ, Black, D, Bloch, M, Brentani, H, Camarena, B, Cappi, C, Cath, D, Cavallini, MC, Ciullo, V, Conti, D, Cook, EH, Coric, V, Cullen, BA, Cusi, D, Davis, LK, Delorme, R, Denys, D, Derks, E, Eapen, V, Edlund, C, Falkai, P, Fyer, AJ, Geller, DA, Goes, FS, Grabe, HJ, Grados, MA, Greenberg, BD, Grünblatt, E, Guo, W, Hounie, AG, Jenike, M, Keenan, CL, Kennedy, JL, Khramtsova, EA, Knowles, JA, Krasnow, J, Lange, C, Lanzagorta, N, Leboyer, M, Liang, KY, Lochner, C, Macciardi, F, Maher, B, Mathews, CA, Mattheisen, M, McCracken, JT, McGregor, N, McLaughlin, NCR, Miguel, EC, Neale, B, Nestadt, G, Nestadt, PS, Nicolini, H, Nurmi, EL, Osiecki, L, Piacentini, J, Pittenger, C, Posthuma, D, Pulver, AE, Rasmussen, SA, Rauch, S, Richter, MA, Riddle, MA, Ripke, S, Ruhrmann, S, Sampaio, AS, Samuels, JF, Scharf, JM, Shugart, YY, Smit, JH, Stein, DJ, Stewart, SE, Turiel, M, Vallada, H, Veenstra-VanderWeele, J, Vulink, N, Wagner, M, Walitza, S, Wang, Y, Wendland, J, Zai, G, Soreni, N, Hanna, GL, Fitzgerald, KD, Rosenberg, D, Paterson, AD, Burton, CL, Lemire, M, Xiao, B, Corfield, EC, Erdman, L, Bralten, J, Poelmans, G, Yu, D, Shaheen, SM, Goodale, T, Sinopoli, VM, Askland, KD, Barlassina, C, Bienvenu, OJ, Black, D, Bloch, M, Brentani, H, Camarena, B, Cappi, C, Cath, D, Cavallini, MC, Ciullo, V, Conti, D, Cook, EH, Coric, V, Cullen, BA, Cusi, D, Davis, LK, Delorme, R, Denys, D, Derks, E, Eapen, V, Edlund, C, Falkai, P, Fyer, AJ, Geller, DA, Goes, FS, Grabe, HJ, Grados, MA, Greenberg, BD, Grünblatt, E, Guo, W, Hounie, AG, Jenike, M, Keenan, CL, Kennedy, JL, Khramtsova, EA, Knowles, JA, Krasnow, J, Lange, C, Lanzagorta, N, Leboyer, M, Liang, KY, Lochner, C, Macciardi, F, Maher, B, Mathews, CA, Mattheisen, M, McCracken, JT, McGregor, N, McLaughlin, NCR, Miguel, EC, Neale, B, Nestadt, G, Nestadt, PS, Nicolini, H, Nurmi, EL, Osiecki, L, Piacentini, J, Pittenger, C, Posthuma, D, Pulver, AE, Rasmussen, SA, Rauch, S, Richter, MA, Riddle, MA, Ripke, S, Ruhrmann, S, Sampaio, AS, Samuels, JF, Scharf, JM, Shugart, YY, Smit, JH, Stein, DJ, Stewart, SE, Turiel, M, Vallada, H, Veenstra-VanderWeele, J, Vulink, N, Wagner, M, Walitza, S, Wang, Y, Wendland, J, Zai, G, Soreni, N, Hanna, GL, Fitzgerald, KD, Rosenberg, D, and Paterson, AD
- Abstract
Using a novel trait-based measure, we examined genetic variants associated with obsessive-compulsive (OC) traits and tested whether OC traits and obsessive-compulsive disorder (OCD) shared genetic risk. We conducted a genome-wide association analysis (GWAS) of OC traits using the Toronto Obsessive-Compulsive Scale (TOCS) in 5018 unrelated Caucasian children and adolescents from the community (Spit for Science sample). We tested the hypothesis that genetic variants associated with OC traits from the community would be associated with clinical OCD using a meta-analysis of all currently available OCD cases. Shared genetic risk was examined between OC traits and OCD in the respective samples using polygenic risk score and genetic correlation analyses. A locus tagged by rs7856850 in an intron of PTPRD (protein tyrosine phosphatase δ) was significantly associated with OC traits at the genome-wide significance level (p = 2.48 × 10−8). rs7856850 was also associated with OCD in a meta-analysis of OCD case/control genome-wide datasets (p = 0.0069). The direction of effect was the same as in the community sample. Polygenic risk scores from OC traits were significantly associated with OCD in case/control datasets and vice versa (p’s < 0.01). OC traits were highly, but not significantly, genetically correlated with OCD (rg = 0.71, p = 0.062). We report the first validated genome-wide significant variant for OC traits in PTPRD, downstream of the most significant locus in a previous OCD GWAS. OC traits measured in the community sample shared genetic risk with OCD case/control status. Our results demonstrate the feasibility and power of using trait-based approaches in community samples for genetic discovery.
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- 2021
48. Effect of childhood physical abuse on social anxiety is mediated via reduced frontal lobe and amygdala-hippocampus complex volume in adult clinical high-risk subjects
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Salokangas, R. K. R., Hietala, J., Armio, R. L., Laurikainen, H., From, T., Borgwardt, S., Riecher-Rossler, A., Brambilla, P., Bonivento, C., Meisenzahl, E., Schultze-Lutter, F., Haidl, T., Ruhrmann, S., Upthegrove, R., Wood, S. J., Pantelis, C., Kambeitz-Ilankovic, L., Ruef, A., Dwyer, D. B., Kambeitz, J., Koutsouleris, N., Salokangas, R. K. R., Hietala, J., Armio, R. L., Laurikainen, H., From, T., Borgwardt, S., Riecher-Rossler, A., Brambilla, P., Bonivento, C., Meisenzahl, E., Schultze-Lutter, F., Haidl, T., Ruhrmann, S., Upthegrove, R., Wood, S. J., Pantelis, C., Kambeitz-Ilankovic, L., Ruef, A., Dwyer, D. B., Kambeitz, J., and Koutsouleris, N.
- Abstract
Background: Childhood adverse experiences (CAE) are associated with clinical psychiatric disorders and symptoms, and with volumetric abnormalities in the amygdala-hippocampus complex (AmHiC) and frontal lobe (FroL) in adulthood. Aim: To study whether CAE are associated with reduced AmHiC and FroL and whether these structures mediate the effect of CAE on social anxiety and depression. Method: In seven European centres, 374 patients with recent onset of psychosis (n = 127), clinical high-risk to psychosis (n = 119) or recent onset of depression (n = 128) were scanned with MRI and their FroL and AmHiC volumes were measured. They all completed self-report scales for assessment of CAE, social anxiety and depression. Results: Of the CAE domains, physical abuse was associated specifically with reduced grey and white matter volumes of FroL and AmHiC in psychotic and high-risk patients. After controlling intracranial volume, PhyAb associated significantly with FroL and its grey matter volume in high-risk patients only. In mediation analyses, the effect of physical abuse on social anxiety was mediated via reduced FroL grey mater volume in high-risk patients. In them, when the effects of AmHiC and depression were controlled, the effect of physical abuse on social anxiety was mediated via FroL grey matter volume reduction. Conclusions: Childhood physical abuse is associated with reduced frontal lobe and amygdala-hippocampus complex volume in adult subjects with psychotic symptoms. Reduced frontal lobe and amygdala-hippocampus complex volume mediate the effect of physical abuse on social anxiety in high-risk patients. The effect of physical abuse on depression-independent social anxiety is mediated via reduced frontal lobe. (C) 2020 Elsevier B.V. All rights reserved.
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- 2021
49. Cognitive functioning throughout adulthood and illness stages in individuals with psychotic disorders and their unaffected siblings
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Velthorst, E, Mollon, J, Murray, RM, de Haan, L, Germeys, IM, Glahn, DC, Arango, C, van der Ven, E, Di Forti, M, Bernardo, M, Guloksuz, S, Delespaul, P, Mezquida, G, Amoretti, S, Bobes, J, Saiz, PA, Garcia-Portilla, MP, Santos, JL, Jimenez-Lopez, E, Sanjuan, J, Aguilar, EJ, Arrojo, M, Carracedo, A, Lopez, G, Gonzalez-Penas, J, Parellada, M, Atbasoglu, C, Saka, MC, Ucok, A, Alptekin, K, Akdede, B, Binbay, T, Altinyazar, V, Ulas, H, Yalincetin, B, Gumus-Akay, G, Beyaz, BC, Soygur, H, Cankurtaran, ES, Kaymak, SU, Maric, NP, Mihaljevic, MM, Petrovic, SA, Mirjanic, T, Del-Ben, CM, Ferraro, L, Gayer-Anderson, C, Jones, PB, Jongsma, HE, Kirkbride, JB, La Cascia, C, Lasalvia, A, Tosato, S, Llorca, P-M, Menezes, PR, Morgan, C, Quattrone, D, Menchetti, M, Selten, J-P, Szoke, A, Tarricone, I, Tortelli, A, McGuire, P, Valmaggia, L, Kempton, MJ, van der Gaag, M, Riecher-Rossler, A, Bressan, RA, Barrantes-Vidal, N, Nelson, B, McGorry, P, Pantelis, C, Krebs, M-O, Ruhrmann, S, Sachs, G, Rutten, BPF, van Os, J, Alizadeh, BZ, van Amelsvoort, T, Bartels-Velthuis, AA, Bruggeman, R, van Beveren, NJ, Luykx, JJ, Cahn, W, Simons, CJP, Kahn, RS, Schirmbeck, F, van Winkel, R, Reichenberg, A, Velthorst, E, Mollon, J, Murray, RM, de Haan, L, Germeys, IM, Glahn, DC, Arango, C, van der Ven, E, Di Forti, M, Bernardo, M, Guloksuz, S, Delespaul, P, Mezquida, G, Amoretti, S, Bobes, J, Saiz, PA, Garcia-Portilla, MP, Santos, JL, Jimenez-Lopez, E, Sanjuan, J, Aguilar, EJ, Arrojo, M, Carracedo, A, Lopez, G, Gonzalez-Penas, J, Parellada, M, Atbasoglu, C, Saka, MC, Ucok, A, Alptekin, K, Akdede, B, Binbay, T, Altinyazar, V, Ulas, H, Yalincetin, B, Gumus-Akay, G, Beyaz, BC, Soygur, H, Cankurtaran, ES, Kaymak, SU, Maric, NP, Mihaljevic, MM, Petrovic, SA, Mirjanic, T, Del-Ben, CM, Ferraro, L, Gayer-Anderson, C, Jones, PB, Jongsma, HE, Kirkbride, JB, La Cascia, C, Lasalvia, A, Tosato, S, Llorca, P-M, Menezes, PR, Morgan, C, Quattrone, D, Menchetti, M, Selten, J-P, Szoke, A, Tarricone, I, Tortelli, A, McGuire, P, Valmaggia, L, Kempton, MJ, van der Gaag, M, Riecher-Rossler, A, Bressan, RA, Barrantes-Vidal, N, Nelson, B, McGorry, P, Pantelis, C, Krebs, M-O, Ruhrmann, S, Sachs, G, Rutten, BPF, van Os, J, Alizadeh, BZ, van Amelsvoort, T, Bartels-Velthuis, AA, Bruggeman, R, van Beveren, NJ, Luykx, JJ, Cahn, W, Simons, CJP, Kahn, RS, Schirmbeck, F, van Winkel, R, and Reichenberg, A
- Abstract
Important questions remain about the profile of cognitive impairment in psychotic disorders across adulthood and illness stages. The age-associated profile of familial impairments also remains unclear, as well as the effect of factors, such as symptoms, functioning, and medication. Using cross-sectional data from the EU-GEI and GROUP studies, comprising 8455 participants aged 18 to 65, we examined cognitive functioning across adulthood in patients with psychotic disorders (n = 2883), and their unaffected siblings (n = 2271), compared to controls (n = 3301). An abbreviated WAIS-III measured verbal knowledge, working memory, visuospatial processing, processing speed, and IQ. Patients showed medium to large deficits across all functions (ES range = -0.45 to -0.73, p < 0.001), while siblings showed small deficits on IQ, verbal knowledge, and working memory (ES = -0.14 to -0.33, p < 0.001). Magnitude of impairment was not associated with participant age, such that the size of impairment in older and younger patients did not significantly differ. However, first-episode patients performed worse than prodromal patients (ES range = -0.88 to -0.60, p < 0.001). Adjusting for cannabis use, symptom severity, and global functioning attenuated impairments in siblings, while deficits in patients remained statistically significant, albeit reduced by half (ES range = -0.13 to -0.38, p < 0.01). Antipsychotic medication also accounted for around half of the impairment in patients (ES range = -0.21 to -0.43, p < 0.01). Deficits in verbal knowledge, and working memory may specifically index familial, i.e., shared genetic and/or shared environmental, liability for psychotic disorders. Nevertheless, potentially modifiable illness-related factors account for a significant portion of the cognitive impairment in psychotic disorders.
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- 2021
50. Pre-training inter-rater reliability of clinical instruments in an international psychosis research project
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Berendsen, S, Kapitein, P, Schirmbeck, F, van Tricht, MJ, McGuire, P, Morgan, C, Gayer-Anderson, C, Kempton, MJ, Valmaggia, L, Quattrone, D, di Forti, M, van der Gaag, M, Kirkbride, JB, Jongsma, HE, Jones, PB, Parellada, M, Arango, C, Arrojo, M, Bernardo, M, Sanjuan, J, Santos, JL, Szoke, A, Tortelli, A, Llorca, P-M, Tarricone, I, Tripoli, G, Ferraro, L, La Cascia, C, Lasalvia, A, Tosato, S, Menezes, PR, Del-Ben, CM, Nelson, B, Riecher-Rossler, A, Bressan, R, Barrantes-Vidal, N, Krebs, M-O, Nordentoft, M, Ruhrmann, S, Sachs, G, Rutten, BPF, van Os, J, Velthorst, E, de Haan, L, Berendsen, S, Kapitein, P, Schirmbeck, F, van Tricht, MJ, McGuire, P, Morgan, C, Gayer-Anderson, C, Kempton, MJ, Valmaggia, L, Quattrone, D, di Forti, M, van der Gaag, M, Kirkbride, JB, Jongsma, HE, Jones, PB, Parellada, M, Arango, C, Arrojo, M, Bernardo, M, Sanjuan, J, Santos, JL, Szoke, A, Tortelli, A, Llorca, P-M, Tarricone, I, Tripoli, G, Ferraro, L, La Cascia, C, Lasalvia, A, Tosato, S, Menezes, PR, Del-Ben, CM, Nelson, B, Riecher-Rossler, A, Bressan, R, Barrantes-Vidal, N, Krebs, M-O, Nordentoft, M, Ruhrmann, S, Sachs, G, Rutten, BPF, van Os, J, Velthorst, E, and de Haan, L
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- 2021
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