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Does menopausal transition really influence mental health? Findings from the prospective long-term Zurich study.

World psychiatry : official journal of the World Psychiatric Association (WPA)

Rössler W, Ajdacic-Gross V, Riecher-Rössler A, Angst J, Hengartner MP.
PMID: 27265705
World Psychiatry. 2016 Jun;15(2):146-54. doi: 10.1002/wps.20319.

In the prospective long-term Zurich study, we re-examined the hypothesized association between mental health problems in women and the transition through menopausal stages. One hundred sixty-eight women from a population-based Swiss community cohort were prospectively followed up from age...

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Rössler W, Ajdacic-Gross V, Riecher-Rössler A, et al. Does menopausal transition really influence mental health? Findings from the prospective long-term Zurich study. World Psychiatry. 2016;15(2):146-54doi: 10.1002/wps.20319.
Rössler, W., Ajdacic-Gross, V., Riecher-Rössler, A., Angst, J., & Hengartner, M. P. (2016). Does menopausal transition really influence mental health? Findings from the prospective long-term Zurich study. World psychiatry : official journal of the World Psychiatric Association (WPA), 15(2), 146-54. https://doi.org/10.1002/wps.20319
Rössler, Wulf, et al. "Does menopausal transition really influence mental health? Findings from the prospective long-term Zurich study." World psychiatry : official journal of the World Psychiatric Association (WPA) vol. 15,2 (2016): 146-54. doi: https://doi.org/10.1002/wps.20319
Rössler W, Ajdacic-Gross V, Riecher-Rössler A, Angst J, Hengartner MP. Does menopausal transition really influence mental health? Findings from the prospective long-term Zurich study. World Psychiatry. 2016 Jun;15(2):146-54. doi: 10.1002/wps.20319. PMID: 27265705; PMCID: PMC4911775.
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Symptom control, functioning and satisfaction among Swiss patients treated with risperidone long-acting injectable.

International journal of psychiatry in clinical practice

Nick B, Vauth R, Braendle D, Riecher-Rössler A, The Swiss StoRMi Investigators Group.
PMID: 24941055
Int J Psychiatry Clin Pract. 2006;10(3):174-81. doi: 10.1080/13651500600633477.

OBJECTIVE: To investigate antipsychotic efficacy and tolerability of risperidone long-acting injectable (RLAI) in Swiss patients with schizophrenia or other psychotic disorders, changed directly from their previous antipsychotic medication.METHODS: Patients symptomatically stable for ≥1 month on their previous medication and...

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Nick B, Vauth R, Braendle D, et al. Symptom control, functioning and satisfaction among Swiss patients treated with risperidone long-acting injectable. Int J Psychiatry Clin Pract. 2006;10(3):174-81doi: 10.1080/13651500600633477.
Nick, B., Vauth, R., Braendle, D., Riecher-Rössler, A., & The Swiss StoRMi Investigators Group. (2006). Symptom control, functioning and satisfaction among Swiss patients treated with risperidone long-acting injectable. International journal of psychiatry in clinical practice, 10(3), 174-81. https://doi.org/10.1080/13651500600633477
Nick, Beat, et al. "Symptom control, functioning and satisfaction among Swiss patients treated with risperidone long-acting injectable." International journal of psychiatry in clinical practice vol. 10,3 (2006): 174-81. doi: https://doi.org/10.1080/13651500600633477
Nick B, Vauth R, Braendle D, Riecher-Rössler A, The Swiss StoRMi Investigators Group. Symptom control, functioning and satisfaction among Swiss patients treated with risperidone long-acting injectable. Int J Psychiatry Clin Pract. 2006;10(3):174-81. doi: 10.1080/13651500600633477. PMID: 24941055.
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Symptom Overlap and Screening for Symptoms of Attention-Deficit/Hyperactivity Disorder and Psychosis Risk in Help-Seeking Psychiatric Patients.

Frontiers in psychiatry

Corbisiero S, Riecher-Rössler A, Buchli-Kammermann J, Stieglitz RD.
PMID: 29163233
Front Psychiatry. 2017 Oct 30;8:206. doi: 10.3389/fpsyt.2017.00206. eCollection 2017.

Symptoms of attention-deficit/hyperactivity disorder (ADHD) and psychosis risk share features which might represent an early vulnerability marker for schizophrenia. Early detection of individuals with this symptomatic overlap is relevant and may assist clinicians in their decision making for diagnosis...

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Corbisiero S, Riecher-Rössler A, Buchli-Kammermann J, et al. Symptom Overlap and Screening for Symptoms of Attention-Deficit/Hyperactivity Disorder and Psychosis Risk in Help-Seeking Psychiatric Patients. Front Psychiatry. 2017;8:206doi: 10.3389/fpsyt.2017.00206.
Corbisiero, S., Riecher-Rössler, A., Buchli-Kammermann, J., & Stieglitz, R. D. (2017). Symptom Overlap and Screening for Symptoms of Attention-Deficit/Hyperactivity Disorder and Psychosis Risk in Help-Seeking Psychiatric Patients. Frontiers in psychiatry, 8206. https://doi.org/10.3389/fpsyt.2017.00206
Corbisiero, Salvatore, et al. "Symptom Overlap and Screening for Symptoms of Attention-Deficit/Hyperactivity Disorder and Psychosis Risk in Help-Seeking Psychiatric Patients." Frontiers in psychiatry vol. 8 (2017): 206. doi: https://doi.org/10.3389/fpsyt.2017.00206
Corbisiero S, Riecher-Rössler A, Buchli-Kammermann J, Stieglitz RD. Symptom Overlap and Screening for Symptoms of Attention-Deficit/Hyperactivity Disorder and Psychosis Risk in Help-Seeking Psychiatric Patients. Front Psychiatry. 2017 Oct 30;8:206. doi: 10.3389/fpsyt.2017.00206. eCollection 2017. PMID: 29163233; PMCID: PMC5670150.
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Letter from the Editor-in-Chief.

Archives of women's mental health

Riecher-Rössler A.
PMID: 29372332
Arch Womens Ment Health. 2018 Apr;21(2):125-126. doi: 10.1007/s00737-018-0813-6.

No abstract available.

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Riecher-Rössler A. Letter from the Editor-in-Chief. Arch Womens Ment Health. 2018;21(2):125-126doi: 10.1007/s00737-018-0813-6.
Riecher-Rössler, A. (2018). Letter from the Editor-in-Chief. Archives of women's mental health, 21(2), 125-126. https://doi.org/10.1007/s00737-018-0813-6
Riecher-Rössler, Anita. "Letter from the Editor-in-Chief." Archives of women's mental health vol. 21,2 (2018): 125-126. doi: https://doi.org/10.1007/s00737-018-0813-6
Riecher-Rössler A. Letter from the Editor-in-Chief. Arch Womens Ment Health. 2018 Apr;21(2):125-126. doi: 10.1007/s00737-018-0813-6. PMID: 29372332.
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Impact of Comorbid Affective Disorders on Longitudinal Clinical Outcomes in Individuals at Ultra-high Risk for Psychosis.

Schizophrenia bulletin

Schirmbeck F, van der Burg NC, Blankers M, Vermeulen JM, McGuire P, Valmaggia LR, Kempton MJ, van der Gaag M, Riecher-Rössler A, Bressan RA, Barrantes-Vidal N, Nelson B, Amminger GP, McGorry P, Pantelis C, Krebs MO, Ruhrmann S, Sachs G, Rutten BPF, van Os J, Nordentoft M, Glenthøj B, Fusar-Poli P, de Haan L.
PMID: 34417795
Schizophr Bull. 2021 Aug 21; doi: 10.1093/schbul/sbab088. Epub 2021 Aug 21.

INTRODUCTION: Diagnoses of anxiety and/or depression are common in subjects at Ultra-High Risk for Psychosis (UHR) and associated with extensive functional impairment. Less is known about the impact of affective comorbidities on the prospective course of attenuated psychotic symptoms...

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Schirmbeck F, van der Burg NC, Blankers M, et al. Impact of Comorbid Affective Disorders on Longitudinal Clinical Outcomes in Individuals at Ultra-high Risk for Psychosis. Schizophr Bull. 2021;doi: 10.1093/schbul/sbab088.
Schirmbeck, F., van der Burg, N. C., Blankers, M., Vermeulen, J. M., McGuire, P., Valmaggia, L. R., Kempton, M. J., van der Gaag, M., Riecher-Rössler, A., Bressan, R. A., Barrantes-Vidal, N., Nelson, B., Amminger, G. P., McGorry, P., Pantelis, C., Krebs, M. O., Ruhrmann, S., Sachs, G., Rutten, B. P. F., van Os, J., Nordentoft, M., Glenthøj, B., Fusar-Poli, P., & de Haan, L. (2021). Impact of Comorbid Affective Disorders on Longitudinal Clinical Outcomes in Individuals at Ultra-high Risk for Psychosis. Schizophrenia bulletin, . https://doi.org/10.1093/schbul/sbab088
Schirmbeck, Frederike, et al. "Impact of Comorbid Affective Disorders on Longitudinal Clinical Outcomes in Individuals at Ultra-high Risk for Psychosis." Schizophrenia bulletin vol. (2021). doi: https://doi.org/10.1093/schbul/sbab088
Schirmbeck F, van der Burg NC, Blankers M, Vermeulen JM, McGuire P, Valmaggia LR, Kempton MJ, van der Gaag M, Riecher-Rössler A, Bressan RA, Barrantes-Vidal N, Nelson B, Amminger GP, McGorry P, Pantelis C, Krebs MO, Ruhrmann S, Sachs G, Rutten BPF, van Os J, Nordentoft M, Glenthøj B, Fusar-Poli P, de Haan L. Impact of Comorbid Affective Disorders on Longitudinal Clinical Outcomes in Individuals at Ultra-high Risk for Psychosis. Schizophr Bull. 2021 Aug 21; doi: 10.1093/schbul/sbab088. Epub 2021 Aug 21. PMID: 34417795.
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Editorial.

Archives of women's mental health

Riecher-Rössler A.
PMID: 33051800
Arch Womens Ment Health. 2020 Dec;23(6):739-740. doi: 10.1007/s00737-020-01074-4.

No abstract available.

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Riecher-Rössler A. Editorial. Arch Womens Ment Health. 2020;23(6):739-740doi: 10.1007/s00737-020-01074-4.
Riecher-Rössler, A. (2020). Editorial. Archives of women's mental health, 23(6), 739-740. https://doi.org/10.1007/s00737-020-01074-4
Riecher-Rössler, Anita. "Editorial." Archives of women's mental health vol. 23,6 (2020): 739-740. doi: https://doi.org/10.1007/s00737-020-01074-4
Riecher-Rössler A. Editorial. Arch Womens Ment Health. 2020 Dec;23(6):739-740. doi: 10.1007/s00737-020-01074-4. PMID: 33051800; PMCID: PMC7553798.
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Development of Proteomic Prediction Models for Transition to Psychotic Disorder in the Clinical High-Risk State and Psychotic Experiences in Adolescence.

JAMA psychiatry

Mongan D, Föcking M, Healy C, Susai SR, Heurich M, Wynne K, Nelson B, McGorry PD, Amminger GP, Nordentoft M, Krebs MO, Riecher-Rössler A, Bressan RA, Barrantes-Vidal N, Borgwardt S, Ruhrmann S, Sachs G, Pantelis C, van der Gaag M, de Haan L, Valmaggia L, Pollak TA, Kempton MJ, Rutten BPF, Whelan R, Cannon M, Zammit S, Cagney G, Cotter DR, McGuire P.
PMID: 32857162
JAMA Psychiatry. 2021 Jan 01;78(1):77-90. doi: 10.1001/jamapsychiatry.2020.2459.

IMPORTANCE: Biomarkers that are predictive of outcomes in individuals at risk of psychosis would facilitate individualized prognosis and stratification strategies.OBJECTIVE: To investigate whether proteomic biomarkers may aid prediction of transition to psychotic disorder in the clinical high-risk (CHR) state...

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Mongan D, Föcking M, Healy C, et al. Development of Proteomic Prediction Models for Transition to Psychotic Disorder in the Clinical High-Risk State and Psychotic Experiences in Adolescence. JAMA Psychiatry. 2021;78(1):77-90doi: 10.1001/jamapsychiatry.2020.2459.
Mongan, D., Föcking, M., Healy, C., Susai, S. R., Heurich, M., Wynne, K., Nelson, B., McGorry, P. D., Amminger, G. P., Nordentoft, M., Krebs, M. O., Riecher-Rössler, A., Bressan, R. A., Barrantes-Vidal, N., Borgwardt, S., Ruhrmann, S., Sachs, G., Pantelis, C., van der Gaag, M., de Haan, L., Valmaggia, L., Pollak, T. A., Kempton, M. J., Rutten, B. P. F., Whelan, R., Cannon, M., Zammit, S., Cagney, G., Cotter, D. R., McGuire, P. (2021). Development of Proteomic Prediction Models for Transition to Psychotic Disorder in the Clinical High-Risk State and Psychotic Experiences in Adolescence. JAMA psychiatry, 78(1), 77-90. https://doi.org/10.1001/jamapsychiatry.2020.2459
Mongan, David, et al. "Development of Proteomic Prediction Models for Transition to Psychotic Disorder in the Clinical High-Risk State and Psychotic Experiences in Adolescence." JAMA psychiatry vol. 78,1 (2021): 77-90. doi: https://doi.org/10.1001/jamapsychiatry.2020.2459
Mongan D, Föcking M, Healy C, Susai SR, Heurich M, Wynne K, Nelson B, McGorry PD, Amminger GP, Nordentoft M, Krebs MO, Riecher-Rössler A, Bressan RA, Barrantes-Vidal N, Borgwardt S, Ruhrmann S, Sachs G, Pantelis C, van der Gaag M, de Haan L, Valmaggia L, Pollak TA, Kempton MJ, Rutten BPF, Whelan R, Cannon M, Zammit S, Cagney G, Cotter DR, McGuire P. Development of Proteomic Prediction Models for Transition to Psychotic Disorder in the Clinical High-Risk State and Psychotic Experiences in Adolescence. JAMA Psychiatry. 2021 Jan 01;78(1):77-90. doi: 10.1001/jamapsychiatry.2020.2459. PMID: 32857162; PMCID: PMC7450406.
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The association of plasma inflammatory markers with omega-3 fatty acids and their mediating role in psychotic symptoms and functioning: An analysis of the NEURAPRO clinical trial.

Brain, behavior, and immunity

Susai SR, Mongan D, Healy C, Cannon M, Nelson B, Markulev C, Schäfer MR, Berger M, Mossaheb N, Schlögelhofer M, Smesny S, Hickie IB, Berger GE, Chen EYH, de Haan L, Nieman DH, Nordentoft M, Riecher-Rössler A, Verma S, Thompson A, Yung AR, McGorry PD, Föcking M, Cotter D, Amminger GP.
PMID: 34624483
Brain Behav Immun. 2022 Jan;99:147-156. doi: 10.1016/j.bbi.2021.09.018. Epub 2021 Oct 05.

BACKGROUND: There is increasing evidence that dysregulation of polyunsaturated fatty acids (FAs) mediated membrane function plays a role in the pathophysiology of schizophrenia. Even though preclinical findings have supported the anti-inflammatory properties of omega-3 FAs on brain health, their...

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Susai SR, Mongan D, Healy C, et al. The association of plasma inflammatory markers with omega-3 fatty acids and their mediating role in psychotic symptoms and functioning: An analysis of the NEURAPRO clinical trial. Brain Behav Immun. 2021;99:147-156doi: 10.1016/j.bbi.2021.09.018.
Susai, S. R., Mongan, D., Healy, C., Cannon, M., Nelson, B., Markulev, C., Schäfer, M. R., Berger, M., Mossaheb, N., Schlögelhofer, M., Smesny, S., Hickie, I. B., Berger, G. E., Chen, E. Y. H., de Haan, L., Nieman, D. H., Nordentoft, M., Riecher-Rössler, A., Verma, S., Thompson, A., Yung, A. R., McGorry, P. D., Föcking, M., Cotter, D., & Amminger, G. P. (2022). The association of plasma inflammatory markers with omega-3 fatty acids and their mediating role in psychotic symptoms and functioning: An analysis of the NEURAPRO clinical trial. Brain, behavior, and immunity, 99147-156. https://doi.org/10.1016/j.bbi.2021.09.018
Susai, Subash Raj, et al. "The association of plasma inflammatory markers with omega-3 fatty acids and their mediating role in psychotic symptoms and functioning: An analysis of the NEURAPRO clinical trial." Brain, behavior, and immunity vol. 99 (2022): 147-156. doi: https://doi.org/10.1016/j.bbi.2021.09.018
Susai SR, Mongan D, Healy C, Cannon M, Nelson B, Markulev C, Schäfer MR, Berger M, Mossaheb N, Schlögelhofer M, Smesny S, Hickie IB, Berger GE, Chen EYH, de Haan L, Nieman DH, Nordentoft M, Riecher-Rössler A, Verma S, Thompson A, Yung AR, McGorry PD, Föcking M, Cotter D, Amminger GP. The association of plasma inflammatory markers with omega-3 fatty acids and their mediating role in psychotic symptoms and functioning: An analysis of the NEURAPRO clinical trial. Brain Behav Immun. 2022 Jan;99:147-156. doi: 10.1016/j.bbi.2021.09.018. Epub 2021 Oct 05. PMID: 34624483.
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Screening for Adult Attention-Deficit/Hyperactivity Disorder in a Psychiatric Outpatient Population with Specific Focus on Sex Differences.

Frontiers in psychiatry

Corbisiero S, Hartmann-Schorro RM, Riecher-Rössler A, Stieglitz RD.
PMID: 28713294
Front Psychiatry. 2017 Jun 30;8:115. doi: 10.3389/fpsyt.2017.00115. eCollection 2017.

BACKGROUND/AIMS: Attention-deficit/hyperactivity disorder (ADHD) is often overlooked in adults; moreover, the problem seems to be even more critical in women. In the present, observational screening study, a clinical, particularly adult outpatient population was examined regarding frequency and severity of...

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Corbisiero S, Hartmann-Schorro RM, Riecher-Rössler A, et al. Screening for Adult Attention-Deficit/Hyperactivity Disorder in a Psychiatric Outpatient Population with Specific Focus on Sex Differences. Front Psychiatry. 2017;8:115doi: 10.3389/fpsyt.2017.00115.
Corbisiero, S., Hartmann-Schorro, R. M., Riecher-Rössler, A., & Stieglitz, R. D. (2017). Screening for Adult Attention-Deficit/Hyperactivity Disorder in a Psychiatric Outpatient Population with Specific Focus on Sex Differences. Frontiers in psychiatry, 8115. https://doi.org/10.3389/fpsyt.2017.00115
Corbisiero, Salvatore, et al. "Screening for Adult Attention-Deficit/Hyperactivity Disorder in a Psychiatric Outpatient Population with Specific Focus on Sex Differences." Frontiers in psychiatry vol. 8 (2017): 115. doi: https://doi.org/10.3389/fpsyt.2017.00115
Corbisiero S, Hartmann-Schorro RM, Riecher-Rössler A, Stieglitz RD. Screening for Adult Attention-Deficit/Hyperactivity Disorder in a Psychiatric Outpatient Population with Specific Focus on Sex Differences. Front Psychiatry. 2017 Jun 30;8:115. doi: 10.3389/fpsyt.2017.00115. eCollection 2017. PMID: 28713294; PMCID: PMC5491936.
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Individualized Prediction of Transition to Psychosis in 1,676 Individuals at Clinical High Risk: Development and Validation of a Multivariable Prediction Model Based on Individual Patient Data Meta-Analysis.

Frontiers in psychiatry

Malda A, Boonstra N, Barf H, de Jong S, Aleman A, Addington J, Pruessner M, Nieman D, de Haan L, Morrison A, Riecher-Rössler A, Studerus E, Ruhrmann S, Schultze-Lutter F, An SK, Koike S, Kasai K, Nelson B, McGorry P, Wood S, Lin A, Yung AY, Kotlicka-Antczak M, Armando M, Vicari S, Katsura M, Matsumoto K, Durston S, Ziermans T, Wunderink L, Ising H, van der Gaag M, Fusar-Poli P, Pijnenborg GHM.
PMID: 31178767
Front Psychiatry. 2019 May 21;10:345. doi: 10.3389/fpsyt.2019.00345. eCollection 2019.

No abstract available.

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Malda A, Boonstra N, Barf H, et al. Individualized Prediction of Transition to Psychosis in 1,676 Individuals at Clinical High Risk: Development and Validation of a Multivariable Prediction Model Based on Individual Patient Data Meta-Analysis. Front Psychiatry. 2019;10:345doi: 10.3389/fpsyt.2019.00345.
Malda, A., Boonstra, N., Barf, H., de Jong, S., Aleman, A., Addington, J., Pruessner, M., Nieman, D., de Haan, L., Morrison, A., Riecher-Rössler, A., Studerus, E., Ruhrmann, S., Schultze-Lutter, F., An, S. K., Koike, S., Kasai, K., Nelson, B., McGorry, P., Wood, S., Lin, A., Yung, A. Y., Kotlicka-Antczak, M., Armando, M., Vicari, S., Katsura, M., Matsumoto, K., Durston, S., Ziermans, T., Wunderink, L., Ising, H., van der Gaag, M., Fusar-Poli, P., & Pijnenborg, G. H. M. (2019). Individualized Prediction of Transition to Psychosis in 1,676 Individuals at Clinical High Risk: Development and Validation of a Multivariable Prediction Model Based on Individual Patient Data Meta-Analysis. Frontiers in psychiatry, 10345. https://doi.org/10.3389/fpsyt.2019.00345
Malda, Aaltsje, et al. "Individualized Prediction of Transition to Psychosis in 1,676 Individuals at Clinical High Risk: Development and Validation of a Multivariable Prediction Model Based on Individual Patient Data Meta-Analysis." Frontiers in psychiatry vol. 10 (2019): 345. doi: https://doi.org/10.3389/fpsyt.2019.00345
Malda A, Boonstra N, Barf H, de Jong S, Aleman A, Addington J, Pruessner M, Nieman D, de Haan L, Morrison A, Riecher-Rössler A, Studerus E, Ruhrmann S, Schultze-Lutter F, An SK, Koike S, Kasai K, Nelson B, McGorry P, Wood S, Lin A, Yung AY, Kotlicka-Antczak M, Armando M, Vicari S, Katsura M, Matsumoto K, Durston S, Ziermans T, Wunderink L, Ising H, van der Gaag M, Fusar-Poli P, Pijnenborg GHM. Individualized Prediction of Transition to Psychosis in 1,676 Individuals at Clinical High Risk: Development and Validation of a Multivariable Prediction Model Based on Individual Patient Data Meta-Analysis. Front Psychiatry. 2019 May 21;10:345. doi: 10.3389/fpsyt.2019.00345. eCollection 2019. PMID: 31178767; PMCID: PMC6537857.
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Obsessive-Compulsive Symptoms and Other Symptoms of the At-risk Mental State for Psychosis: A Network Perspective.

Schizophrenia bulletin

Ong HL, Isvoranu AM, Schirmbeck F, McGuire P, Valmaggia L, Kempton MJ, van der Gaag M, Riecher-Rössler A, Bressan RA, Barrantes-Vidal N, Nelson B, Amminger GP, McGorry P, Pantelis C, Krebs MO, Nordentoft M, Glenthøj B, Ruhrmann S, Sachs G, Rutten BPF, van Os J, de Haan L, Borsboom D.
PMID: 33595089
Schizophr Bull. 2021 Jul 08;47(4):1018-1028. doi: 10.1093/schbul/sbaa187.

BACKGROUND: The high prevalence of obsessive-compulsive symptoms (OCS) among subjects at Ultra-High Risk (UHR) for psychosis is well documented. However, the network structure spanning the relations between OCS and symptoms of the at risk mental state for psychosis as...

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Ong HL, Isvoranu AM, Schirmbeck F, et al. Obsessive-Compulsive Symptoms and Other Symptoms of the At-risk Mental State for Psychosis: A Network Perspective. Schizophr Bull. 2021;47(4):1018-1028doi: 10.1093/schbul/sbaa187.
Ong, H. L., Isvoranu, A. M., Schirmbeck, F., McGuire, P., Valmaggia, L., Kempton, M. J., van der Gaag, M., Riecher-Rössler, A., Bressan, R. A., Barrantes-Vidal, N., Nelson, B., Amminger, G. P., McGorry, P., Pantelis, C., Krebs, M. O., Nordentoft, M., Glenthøj, B., Ruhrmann, S., Sachs, G., Rutten, B. P. F., van Os, J., de Haan, L., Borsboom, D. (2021). Obsessive-Compulsive Symptoms and Other Symptoms of the At-risk Mental State for Psychosis: A Network Perspective. Schizophrenia bulletin, 47(4), 1018-1028. https://doi.org/10.1093/schbul/sbaa187
Ong, Hui Lin, et al. "Obsessive-Compulsive Symptoms and Other Symptoms of the At-risk Mental State for Psychosis: A Network Perspective." Schizophrenia bulletin vol. 47,4 (2021): 1018-1028. doi: https://doi.org/10.1093/schbul/sbaa187
Ong HL, Isvoranu AM, Schirmbeck F, McGuire P, Valmaggia L, Kempton MJ, van der Gaag M, Riecher-Rössler A, Bressan RA, Barrantes-Vidal N, Nelson B, Amminger GP, McGorry P, Pantelis C, Krebs MO, Nordentoft M, Glenthøj B, Ruhrmann S, Sachs G, Rutten BPF, van Os J, de Haan L, Borsboom D. Obsessive-Compulsive Symptoms and Other Symptoms of the At-risk Mental State for Psychosis: A Network Perspective. Schizophr Bull. 2021 Jul 08;47(4):1018-1028. doi: 10.1093/schbul/sbaa187. PMID: 33595089; PMCID: PMC8266672.
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Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression.

JAMA psychiatry

Koutsouleris N, Dwyer DB, Degenhardt F, Maj C, Urquijo-Castro MF, Sanfelici R, Popovic D, Oeztuerk O, Haas SS, Weiske J, Ruef A, Kambeitz-Ilankovic L, Antonucci LA, Neufang S, Schmidt-Kraepelin C, Ruhrmann S, Penzel N, Kambeitz J, Haidl TK, Rosen M, Chisholm K, Riecher-Rössler A, Egloff L, Schmidt A, Andreou C, Hietala J, Schirmer T, Romer G, Walger P, Franscini M, Traber-Walker N, Schimmelmann BG, Flückiger R, Michel C, Rössler W, Borisov O, Krawitz PM, Heekeren K, Buechler R, Pantelis C, Falkai P, Salokangas RKR, Lencer R, Bertolino A, Borgwardt S, Noethen M, Brambilla P, Wood SJ, Upthegrove R, Schultze-Lutter F, Theodoridou A, Meisenzahl E.
PMID: 33263726
JAMA Psychiatry. 2021 Feb 01;78(2):195-209. doi: 10.1001/jamapsychiatry.2020.3604.

IMPORTANCE: Diverse models have been developed to predict psychosis in patients with clinical high-risk (CHR) states. Whether prediction can be improved by efficiently combining clinical and biological models and by broadening the risk spectrum to young patients with depressive...

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Koutsouleris N, Dwyer DB, Degenhardt F, et al. Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression. JAMA Psychiatry. 2021;78(2):195-209doi: 10.1001/jamapsychiatry.2020.3604.
Koutsouleris, N., Dwyer, D. B., Degenhardt, F., Maj, C., Urquijo-Castro, M. F., Sanfelici, R., Popovic, D., Oeztuerk, O., Haas, S. S., Weiske, J., Ruef, A., Kambeitz-Ilankovic, L., Antonucci, L. A., Neufang, S., Schmidt-Kraepelin, C., Ruhrmann, S., Penzel, N., Kambeitz, J., Haidl, T. K., Rosen, M., Chisholm, K., Riecher-Rössler, A., Egloff, L., Schmidt, A., Andreou, C., Hietala, J., Schirmer, T., Romer, G., Walger, P., Franscini, M., Traber-Walker, N., Schimmelmann, B. G., Flückiger, R., Michel, C., Rössler, W., Borisov, O., Krawitz, P. M., Heekeren, K., Buechler, R., Pantelis, C., Falkai, P., Salokangas, R. K. R., Lencer, R., Bertolino, A., Borgwardt, S., Noethen, M., Brambilla, P., Wood, S. J., Upthegrove, R., Schultze-Lutter, F., Theodoridou, A., Meisenzahl, E. (2021). Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression. JAMA psychiatry, 78(2), 195-209. https://doi.org/10.1001/jamapsychiatry.2020.3604
Koutsouleris, Nikolaos, et al. "Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression." JAMA psychiatry vol. 78,2 (2021): 195-209. doi: https://doi.org/10.1001/jamapsychiatry.2020.3604
Koutsouleris N, Dwyer DB, Degenhardt F, Maj C, Urquijo-Castro MF, Sanfelici R, Popovic D, Oeztuerk O, Haas SS, Weiske J, Ruef A, Kambeitz-Ilankovic L, Antonucci LA, Neufang S, Schmidt-Kraepelin C, Ruhrmann S, Penzel N, Kambeitz J, Haidl TK, Rosen M, Chisholm K, Riecher-Rössler A, Egloff L, Schmidt A, Andreou C, Hietala J, Schirmer T, Romer G, Walger P, Franscini M, Traber-Walker N, Schimmelmann BG, Flückiger R, Michel C, Rössler W, Borisov O, Krawitz PM, Heekeren K, Buechler R, Pantelis C, Falkai P, Salokangas RKR, Lencer R, Bertolino A, Borgwardt S, Noethen M, Brambilla P, Wood SJ, Upthegrove R, Schultze-Lutter F, Theodoridou A, Meisenzahl E. Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression. JAMA Psychiatry. 2021 Feb 01;78(2):195-209. doi: 10.1001/jamapsychiatry.2020.3604. PMID: 33263726; PMCID: PMC7711566.
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