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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
Show Affiliations
Authors Affiliations
  1. 1. Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
  2. 2. Laureate Institute for Brain Research, Tulsa, OK, United States
  3. 3. Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia
  5. 5. Department of Psychiatry and Behavioral Health, Stony Brook University Renaissance School of Medicine, Stony Brook, NY, United States
  6. 6. Department of Psychiatry, Columbia University Vagelos School of Medicine and New York State Psychiatric Institute, New York, NY, United States
  7. 7. Clinical Neuroimaging Laboratory, Center for Neuroimaging, Cognition & amp
  8. 8. Genomics, College of Medicine, Nursing & amp
  9. 9. Health Sciences, University of Galway, Galway, Ireland
  10. 10. Department of Psychiatry and Human Behavior, University of California at Irvine, Irvine, CA, United States
  11. 11. Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, United States
  12. 12. Institute for Mental Health Policy and Research at CAMH, Toronto, ON, Canada
  13. 13. Department of Psychiatry, Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
  14. 14. Department of Biomedical Engineering, Columbia University Fu Foundation, School of Engineering and Applied Science, New York, NY, United States
  15. 15. Department of Radiology, Columbia University College of Physicians and Surgeons, New York, NY, United States
  16. 16. Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
  17. 17. U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, United States
  18. 18. Nuffield Department of Population Health, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
  19. 19. McLean Hospital, Belmont, MA, United States
  20. 20. Department of Psychiatry, Harvard Medical School, Boston, MA, United States
  21. 21. Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
  22. 22. Department of Psychology, Stanford University, Stanford, CA, United States
  23. 23. Imaging Genetics Center, Mark & amp
  24. 24. Mary Stevens Neuroimaging & amp
  25. 25. Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States

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.