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Publications
- Rautio, Nina et al., “Prognosis of schizophrenia spectrum disorder may not be predetermined during early development – the Northern Finland Birth Cohort 1966”, Schizophrenia Research, Volume 173, Issue 1 , 62 – 68.
- Seppälä et al., “What do we know about treatment-resistant schizophrenia? A systematic review”, Psychiatria Fennica 2016;47:95-127.
- Huerta-Ramos E. et al., “Measuring Users’ Receptivity Toward an Integral Intervention Model Based on mHealth Solutions for Patients With Treatment-Resistant Schizophrenia (m-RESIST): A Qualitative Study”, JMIR Mhealth Uhealth 2016;4(3):e112.
- Molins, C. et al., “Response to antipsychotic drugs in treatment-resistant schizophrenia: Conclusions based on systematic review”, Schizophrenia Research, Volume 178, Issue 1, 64 – 67.
- Rautio, Nina et al., “Do adverse perinatal events predict mortality in schizophrenia during midlife?”, Schizophrenia Research, Volume 179 , 23 – 29.
- Immonen J, Jääskeläinen E, Korpela H and Miettunen J., “Age at onset and the outcomes of schizophrenia: A systematic review and meta-analysis”, Early Intervention in Psychiatry, 2017;11:453–460.
- Käkelä, Juha et al., “Association between family history of psychiatric disorders and long-term outcome in schizophrenia – The Northern Finland Birth Cohort 1966 study”, Psychiatry Research, Volume 249, 16 – 22.
- Elena Huerta-Ramos, et al., “m-RESIST, una solución m-Health integral para personas con Esquizofrenia Resistente: estudio cualitativo de necesidades y aceptabilidad de usuarios en el área de Barcelona”, Actas Esp Psiquiatr 2017;45(6):277-89.
- Jääskeläinen E. et al., “Treatment choices of treatment resistant schizophrenia”, Duodecim. To be published.
- Seppala, J. et al., “Somatic comorbidity and its outcomes in schizophrenia during lifespan”, European Psychiatry, Volume 33, S35 - S36.
- Rubinstein, K., “Treatment-resistant schizophrenia during life span: Epidemiology, outcomes and innovative M-Health treatments within M-RESIST Project”, European Psychiatry, Volume 33, S35.
- Seppälä, A. et al., “What do we know about treatment-resistant schizophrenia? – A systematic review”, European Psychiatry, Volume 33, S729.
- Seppala, J. et al., “Definition, epidemiology, clinical course and outcomes in treatment-resistant schizophrenia”, European Psychiatry, Volume 41, S67.
- Bulgheroni, M., “Emerging sensor-based m-health interventions in the assessment of psychotic symptoms”, European Psychiatry, Volume 41, S67.
- Rubinstein, K., “Identifying service and care needs from the users’ perspective in treatment-resistant schizophrenia”, European Psychiatry, Volume 41, S68.
- Corripio, I., “m-RESIST project as an example of m-health approach in schizophrenia: Content, aims and realization”, European Psychiatry, Volume 41, S68.
- Seppala, J. et al., “Treatment-resistant and difficult-to treat schizophrenia as a challenge for clinical practices. Data from Finnish samples: Northern Finland Birth Cohort 1966 and Perfect”, Eur Arch Psychiatry Clin Neurosci (2017) 267(Suppl 1): 1. https://doi.org/10.1007/s00406-017-0824-8.
- Seppälä, A. et al., “Predictors of response in treatment-resistant schizophrenia: a meta-analysis”, Eur Arch Psychiatry Clin Neurosci (2017) 267(Suppl 1): 1. https://doi.org/10.1007/s00406-017-0824-8.
- Farkas, K., “Predictors of functioning improvement in difficult-to-treat schizophrenia”, Eur Arch Psychiatry Clin Neurosci (2017) 267(Suppl 1): 1. https://doi.org/10.1007/s00406-017-0824-8.
- Corripio, I., “mRESIST, an innovative m-health tool addressed to improve humanistic burden in difficult-to-treat schizophrenia”, Eur Arch Psychiatry Clin Neurosci (2017) 267(Suppl 1): 1. https://doi.org/10.1007/s00406-017-0824-8.
- V. Simonetti, W. Baccinelli, M. Bulgheroni and E. d'Amico, "Free context smartphone based application for motor activity levels recognition," 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), Bologna, 2016, pp. 1-4.
- Spagnoli, F. , Graaf, S. v. , Ballon, P. (2017). “Changing Behaviour in the Digital Era: A Concrete Use Case from the Domain of Health”, World Academy of Science, Engineering and Technology, International Science Index, Psychological and Behavioral Sciences, 11(12), 1324.