Early stages of SMI Research Centre

Head of the department
MUDr. Filip Španiel, Ph.D.
Tereza Holečková (coordinator)
telephone:(+420) 283 088 464


The Centre's activities are built on three pillars:

(A) Basic and applied research based on big data within the unique multimodal prospective database of first episodes of psychotic illness (ESO) that the Centre is building. In addition to clinically oriented neurobiological research, we are using ESO data to develop an information system for comprehensive personalized care in psychosis that integrates clinical data with neuroimaging (MRI), biochemical, immunological, proteomic, neurocognitive, and genetic data. This digital platform and large normative database is used to predict the course of psychotic illnesses at their earliest stage and forms the blueprint for an expert, data-driven decision-making system for clinicians (CAD) in the field of psychiatry. The development of the CAD system is the main output of this branch of the Centre's activities. Another goal is the subtyping of individual neurobiological entities within the arbitrary nosological concept of schizophrenia, again based on prospective, multimodal ESO data. The intention is to lay the foundations for stratified treatment of psychotic illnesses.

These activities are followed by the second pillar (B), focusing on the development of digital platforms for relapse prevention of the most serious mental illnesses. We are also developing and implementing in an international context (i) an mHealth program for relapse prevention in schizophrenia (ITAREPS), (ii) an applied research program with actigraphic data collection in bipolar affective disorder (AKTIBIPO system), (iii) another area is the development of the PEBDI digital system (dynamic pupillometer with wireless data centralization) as a platform for early relapse detection in schizophrenia and mood disorders.

Both activities (A) and (B) combine into (C) the development of clinical applications within a comprehensive care programme for the early stages of the most serious mental illnesses, in particular schizophrenia and bipolar affective disorder.


1. Building multimodal databases for the first episode of schizophrenia, OCD, bipolar affective disorders (MRI, EEG, neuropsychology, genetics, metabolism, long-term monitoring based on telemedicine applications)

2. Advanced analysis of multimodal data in psychiatry. On this basis, prediction of course, therapeutic response and medium-term outbreak of the disease

3. Neuroimaging Research Using MRI and MRI / 256-Channel MR Compatible EEG

4. Development and clinical testing of telemedicine applications for long-term monitoring and relapse prediction in psychiatry


Partial aims

1. Introduce methodologies providing source clinical and neurobiological data (ie gene typing, magnetic resonance, telemonitoring of psychopathology by mobile technologies).

2. Create an architecture and test your own information system, including its modules.

3. Provide an effective platform for neuropsychiatric research by creating an integrative database of comprehensive information on a wide range of neurobiological and clinical variables in patients.


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