Evidence map›Paper›PMID 39103610›Full record

ArticleNature human behaviour2024

Moving beyond processing- and analysis-related variation in resting-state functional brain imaging.

Xinhui Li, Nathalia Bianchini Esper, Lei Ai, Steve Giavasis, Hecheng Jin, Eric Feczko, Ting Xu, Jon Clucas, Alexandre Franco, Anibal Sólon Heinsfeld and 10 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Brainana: an end-to-end preprocessing framework for macaque neuroimaging.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Normative Modeling of Static and Dynamic Functional Connectivity.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Xinhui Li *Child Mind Institute, New York, NY, USA.ORCID http://orcid.org/0000-0001-5604-9493
Nathalia Bianchini Esper *Child Mind Institute, New York, NY, USA.ORCID http://orcid.org/0000-0003-3218-9226
Lei AiChild Mind Institute, New York, NY, USA.
Steve GiavasisChild Mind Institute, New York, NY, USA.
Hecheng JinChild Mind Institute, New York, NY, USA.
Eric FeczkoMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0003-1337-5517
Ting XuChild Mind Institute, New York, NY, USA.ORCID http://orcid.org/0000-0002-0065-3832
Jon ClucasChild Mind Institute, New York, NY, USA.ORCID http://orcid.org/0000-0001-7590-5806
Alexandre FrancoChild Mind Institute, New York, NY, USA.ORCID http://orcid.org/0000-0002-1552-1090
Anibal Sólon HeinsfeldDepartment of Diagnostic Medicine, The University of Texas at Austin, Austin, TX, USA.
Azeez AdebimpePenn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-9049-0135
Joshua T VogelsteinDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Chao-Gan YanCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Oscar EstebanDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-8435-6191
Russell A PoldrackDepartment of Psychology, Stanford University, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-6755-0259
Cameron CraddockDepartment of Diagnostic Medicine, The University of Texas at Austin, Austin, TX, USA.
Damien FairMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0001-8602-393X
Theodore SatterthwaitePenn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-7072-9399
Gregory Kiar *Child Mind Institute, New York, NY, USA.ORCID http://orcid.org/0000-0001-8915-496X
Michael P Milham *Child Mind Institute, New York, NY, USA. michael.milham@childmind.org.ORCID http://orcid.org/0000-0003-3532-1210

Funding

Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
NIPreps: integrating neuroimaging preprocessing workflows across modalities, populations, and speciesRF1MH121867 · NIMH · STANFORD UNIVERSITY · PI POLDRACK, RUSSELL A, ROKEM, ARIEL SHALOM · 2021 to 2022
$1.6M
Improving the robustness of neuroimaging through exploitation of variability in processing pipelinesRF1MH130859 · NIMH · CHILD MIND INSTITUTE, INC. · PI KIAR, GREGORY, MILHAM, MICHAEL PETER · 2022 to 2022
$1.5M
National Natural Science Foundation of China (National Science Foundation of China) 81630031National Natural Science Foundation of China (National Science Foundation of China) 81671774National Natural Science Foundation of China (National Science Foundation of China) 82122035NIMH NIH HHS RF1 MH130859U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH120482U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R24 MH11480602U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) RF1MH121867U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) RF1MH130859
6 · The paper itself

Abstract

When fields lack consensus standard methods and accessible ground truths, reproducibility can be more of an ideal than a reality. Such has been the case for functional neuroimaging, where there exists a sprawling space of tools and processing pipelines. We provide a critical evaluation of the impact of differences across five independently developed minimal preprocessing pipelines for functional magnetic resonance imaging. We show that, even when handling identical data, interpipeline agreement was only moderate, critically shedding light on a factor that limits cross-study reproducibility. We show that low interpipeline agreement can go unrecognized until the reliability of the underlying data is high, which is increasingly the case as the field progresses. Crucially we show that, when interpipeline agreement is compromised, so too is the consistency of insights from brain-wide association studies. We highlight the importance of comparing analytic configurations, because both widely discussed and commonly overlooked decisions can lead to marked variation.

Indexed as

BrainImage Processing, Computer-AssistedMagnetic Resonance ImagingAdultBrain MappingFemaleFunctional NeuroimagingHumansMaleReproducibility of ResultsRest

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.