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Category: Procedure

Description: https://osf.io/42bsu This chapter critically examines the standardization of preprocessing in neuroimaging, exploring the field's evolution, the necessity of methodological consistency, and the future directions shaped by artificial intelligence (AI). It begins with an overview of the technical advancements and the emergence of software tools with standardized neuroimaging processes. It also emphasizes the importance of the Brain Imaging Data Structure (BIDS) and data sharing for reproducibility. The chapter then discusses the essential preprocessing operations and the impact of methodological choices on research reliability, advocating for standardization to mitigate variability. The multifaceted approach to standardization is explored, including workflow architecture, quality control, and community involvement in open-source projects. Challenges such as method selection, resource optimization, and the integration of AI are addressed, highlighting the role of openly available data and the potential of AI-assisted code writing in enhancing productivity. In conclusion, the chapter underscores NiPreps' contribution to providing reliable and reproducible preprocessing solutions, inviting community engagement to advance neuroimaging research. The chapter envisions a collaborative and robust scientific culture in neuroimaging by promoting standardized practices.