I3dconverter license key2/25/2023 ![]() ![]() Managing vast amounts of data requires powerful (often leading-edge) and expensive computing systems, which are unaffordable in education and not necessary in atlas-assisted clinical applications. Numerous and diverse brain atlases developed by various centers cause problems with standardization. The wide use of brain atlases in the research focuses mainly on how to integrate and openly share huge amounts of heterogeneous, experimental data in a common reference atlas space and to link these data across scales. These atlases are applicable across research, education and/or clinics, and each of these fields has its own specific purposes, requirements, problems, and challenges. It establishes a backbone for designing and developing new, multi-purpose and user-extendable brain atlas platforms, serving as a potential standard across labs, hospitals, and medical schools.Īn enormous explosion of human brain atlas projects with diverse objectives and spans is witnessed recently (Amunts et al., 2014 Hess et al., 2018 Nowinski, 2021a). This novel architecture supports brain knowledge gathering, presentation, use, sharing, and discovery and is broadly applicable and useful in student- and educator-oriented neuroeducation for knowledge presentation and communication, research for knowledge acquisition, aggregation and discovery, and clinical applications in decision making support for prevention, diagnosis, treatment, monitoring, and prediction. Each unit is described in terms of its function, component modules and sub-modules, data handling, and implementation aspects. It contains four functional units, core cerebral models, knowledge database, research and clinical data input and conversion, and toolkit (supporting processing, content extension, atlas individualization, navigation, exploration, and display), all united by a user interface. The proposed architecture determines major components of the atlas, their mutual relationships, and functional roles. ![]() The human brain atlas is defined as a vehicle to gather, present, use, share, and discover knowledge about the human brain with highly organized content, tools enabling a wide range of its applications, massive and heterogeneous knowledge database, and means for content and knowledge growing by its users. Subsequently, an architecture of a multi-purpose, user-extendable reference human brain atlas is proposed and its implementation discussed. Here I introduce a new definition of a reference human brain atlas that serves education, research and clinical applications, and is extendable by its user. Human brain atlas development is predominantly research-oriented and the use of atlases in clinical practice is limited. ![]()
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