Brain Data Explorer and Information Miner

The fundamental goal of computational neuroscience is to discover anatomical features that reflect the functional organization of the brain. This research employs different imaging modalities, including MR (Magnetic Resonance), PET (Positron Emission Tomography), EEG (Electroencephalogram), and DTI (Diffusion Tensor Imaging), to explore the human brain. Our current investigations of the physical connections between neuronal structures have been proved useful for the understanding of brain mechanisms and their plasticity. Accurate analytical and modeling tools that can reveal anatomical connectivity pattern and facilitate the interpretation of high-level knowledge regarding brain functions and disorders are under investigation. Our current research is to develop a new computational framework for the quantitative assessment of the physical connection strength between neuronal structures using advanced image processing, data fusion and data analysis techniques. The normal developmental pattern of brain connectivity will be derived from control subjects of various ages. This normative data will subsequently allow the statistical assessment of abnormal connectivity patterns in neurological disorders.