title: "Saba"--application of knowledge and state-of-the-art technologies in the field of psychiatry for development of new diagnostics prevention and therapeutic tools for schizophrenia.
abstract: The aim of project is to build a European network, which will integrate the research capabilities of a group of research institutes and university departments to provide an infrastructure for the highest quality research in psychiatric disorders, particularly in schizophrenia and schizoaffective disturbances. This network will integrate original computer expert advisory system called "Saba" with modern brain imaging techniques and neurophysiological methods, which allows for the delineation of specific subtypes and particular episodes of mental disorders and their neural bases will be studied by state-of-the art (high tech) imaging techniques. This approach will lead to new investigatory, diagnostic and therapeutic techniques. Together the members of this network will comprise an unmatched critical mass of human and other resources aimed at fundamental and applied research into a group of disorders, which impose a huge burden on social and material capital. The relationships and mutual responsibilities between neuroscience and the society it serves will be addressed specifically. Top brain research is performed at several locations in Europe. In particular, in the area of linking classical psychiatric and psychological assessment methods and the newest brain imaging techniques in mental disorders, major progress can only be made when various research groups join their efforts. Large-scale studies using different databases are critically required, which demands standardization of the description of mental disorders and of the applied techniques and methods of analysis. Imaging techniques, including functional MRI (fMRI), Evoked Potentials (EPs), brain mapping, and the computer gathered information will be shared, standardized and further developed within the network. Developing new information technology tools for simulation, visualization and data-mining will be required to enable effective search for links between mental disorders and brain characteristics (function, structure) in very large scale data-sets acquired and stored in various research facilities.
authors.affiliation: Department of Psychiatry and Psychotherapy, Medical University of Silesia, Katowice.
authors.forename: Krzysztof
authors.initials: K
authors.lastname: Kielan
authors.forename: Katarzyna
authors.initials: K
authors.lastname: Kucharska-Pietura
authors.forename: Anna
authors.initials: A
authors.lastname: Warchala
authors.forename: Marek
authors.initials: M
authors.lastname: Konopka
authors.forename: Piotr
authors.initials: P
authors.lastname: Pieniazek
authors.forename: Marcin
authors.initials: M
authors.lastname: Hartel
mesh_terms: D001921:Brain / Q000503:physiopathology*; D005060:Europe; D005072:Evoked Potentials, Auditory; D005074:Evoked Potentials, Visual; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007391:International Cooperation; D008279:Magnetic Resonance Imaging; D008605:Mental Health Services / Q000458:organization & administration; D009483:Neuropsychological Tests / Q000592:standards; D009488:Neurosciences / Q000379:methods; D011044:Poland; D015397:Program Evaluation; D012559:Schizophrenia / Q000175:diagnosis* / Q000503:physiopathology / Q000517:prevention & control*; D012565:Schizophrenic Psychology; D012955:Societies, Medical / Q000592:standards