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Constructing and exploring neuroimaging projects: a survey from clinical practice to scientific research

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Abstract

Over the past decades, numerous large-scale neuroimaging projects that involved the collection and release of multimodal data have been conducted globally. Distinguished initiatives such as the Human Connectome Project, UK Biobank, and Alzheimer’s Disease Neuroimaging Initiative, among others, stand as remarkable international collaborations that have significantly advanced our understanding of the brain. With the advancement of big data technology, changes in healthcare models, and continuous development in biomedical research, various types of large-scale projects are being established and promoted worldwide. For project leaders, there is a need to refer to common principles in project construction and management. Users must also adhere strictly to rules and guidelines, ensuring data safety and privacy protection. Organizations must maintain data integrity, protect individual privacy, and foster stakeholders’ trust. Regular updates to legislation and policies are necessary to keep pace with evolving technologies and emerging data-related challenges.

Critical relevance statement

By reviewing global large-scale neuroimaging projects, we have summarized the standards and norms for establishing and utilizing their data, and provided suggestions and opinions on some ethical issues, aiming to promote higher-quality neuroimaging data development.

Key Points

  • Global neuroimaging projects are increasingly advancing but still face challenges.
  • Constructing and utilizing neuroimaging projects should follow set rules and guidelines.
  • Effective data management and governance should be developed to support neuroimaging projects.

Graphical Abstract

Title
Constructing and exploring neuroimaging projects: a survey from clinical practice to scientific research
Authors
Ziyan Chen
Abraham Ayodeji Adegboro
Lan Gu
Xuejun Li
Publication date
01-12-2024
Publisher
Springer Vienna
Published in
Insights into Imaging / Issue 1/2024
Electronic ISSN: 1869-4101
DOI
https://doi.org/10.1186/s13244-024-01848-9
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