Multimodality Neuroimaging and Future Directions
Multimodality Neuroimaging and Future Directions
Advances in imaging technologies provide today an abundance of qualitatively diverse brain data sets with the purpose to guide the placement of subdural electrodes as a pre-requisite for epilepsy surgery. Current efforts focus on the development of integrative computational frameworks that allow quantitative assessment of relationships in anatomical and functional domains between complementing modalities. It is believed that such an approach is not simply additive but possesses an amplifying effect, as the information entailed in one modality is used to both enhance and re-interpret information derived from complementing modalities. By taking advantage of these advanced data integration schemes, quantitative results are subsequently combined into data structures that provide a consistent framework for the application of advanced data mining techniques. Such multimodality database structures hold promise of providing new insights into the formation, identification and maturation of epileptic foci and might eventually lead to new approaches in epilepsy surgery that are likely to improve clinical management of patients suffering from intractable epilepsy.
Keywords: multimodality data integration, brain parcelation, native space image analysis, probabilistic tractography, presurgical evaluation in epilepsy, structural connectivity, multi-modality database, PET/MR scanner
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