Sustainable living. learning. researching

Medical University of Graz

Vision

More than a single project. We refrain from using the term 'project', as BEE-PRI will cover a series of projects. This is a unique opportunity to establish a strong research cluster and enhance our international competitiveness.

BEE-PRI will enable us to detect early indicators of maldevelopment and thus to anticipate future development.

BEE-PRI will determine potential specificities of particular developmental disabilities (e.g., autism spectrum disorder) and neurodegenerative disorders (e.g., multiple sclerosis) and contribute to their earlier identification to enable earlier therapeutic intervention and provide better assistance.

BEE-PRI is a large-scale scheme utilising multivariate methods to detect potential early markers of maldevelopment in a comprehensive interdisciplinary context (i.e. the combination of various fields of basic science and allied clinical disciplines: a synergy between cognitive sciences, education, linguistics, neurology, paediatrics, physiology, psychiatry, psychology, signal processing and machine learning, and speech-language pathology).

BEE-PRI will go beyond classic singular-technique approaches in combining existing methods to identify parameters pinpointing specific disorders (e.g., fMRI, EEG, ERP, eye-tracking, audio-video analysis, etc.), and adding novel methods (e.g., observing the observer through eye-tracking; implementation of automated detection of biomarkers; pattern recognition and machine learning).

BEE-PRI will set the stage for future large-scale studies (aim of this consortium) to detect specific neurofunctional/neurostructural biomarkers for certain conditions.

One could summarise BEE-PRI as a contribution to early detection/identification for (1) earlier therapeutic intervention; (2) better assistance to patients and their families; and avoidance of diagnostic odysseys; (3) an enhancement of counselling; (4) facilitation of future interdisciplinary approaches; and (5) the implementation of novel technologies for future studies.

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