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Reporting Checklists in Neuroimaging: Promoting Transparency, Replicability, and Reproducibility Publisher Pubmed



Ekhtiari H1, 2 ; Zarebidoky M3 ; Sangchooli A4 ; Valyan A3 ; Abidargham A5, 6 ; Cannon DM7 ; Carter CS10 ; Garavan H11 ; George TP12, 13 ; Ghobadiazbari P3 ; Juchem C14, 15 ; Krystal JH16, 17 ; Nichols TE18 ; Ongur D19, 20 Show All Authors
Authors
  1. Ekhtiari H1, 2
  2. Zarebidoky M3
  3. Sangchooli A4
  4. Valyan A3
  5. Abidargham A5, 6
  6. Cannon DM7
  7. Carter CS10
  8. Garavan H11
  9. George TP12, 13
  10. Ghobadiazbari P3
  11. Juchem C14, 15
  12. Krystal JH16, 17
  13. Nichols TE18
  14. Ongur D19, 20
  15. Pernet CR21
  16. Poldrack RA22
  17. Thompson PM23
  18. Paulus MP2

Source: Neuropsychopharmacology Published:2024


Abstract

Neuroimaging plays a crucial role in understanding brain structure and function, but the lack of transparency, reproducibility, and reliability of findings is a significant obstacle for the field. To address these challenges, there are ongoing efforts to develop reporting checklists for neuroimaging studies to improve the reporting of fundamental aspects of study design and execution. In this review, we first define what we mean by a neuroimaging reporting checklist and then discuss how a reporting checklist can be developed and implemented. We consider the core values that should inform checklist design, including transparency, repeatability, data sharing, diversity, and supporting innovations. We then share experiences with currently available neuroimaging checklists. We review the motivation for creating checklists and whether checklists achieve their intended objectives, before proposing a development cycle for neuroimaging reporting checklists and describing each implementation step. We emphasize the importance of reporting checklists in enhancing the quality of data repositories and consortia, how they can support education and best practices, and how emerging computational methods, like artificial intelligence, can help checklist development and adherence. We also highlight the role that funding agencies and global collaborations can play in supporting the adoption of neuroimaging reporting checklists. We hope this review will encourage better adherence to available checklists and promote the development of new ones, and ultimately increase the quality, transparency, and reproducibility of neuroimaging research. © The Author(s), under exclusive licence to American College of Neuropsychopharmacology 2024.
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