Evidence map›Paper›PMID 38902353›Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2024

Quality over quantity: powering neuroimaging samples in psychiatry.

Carolina Makowski, Thomas E Nichols, Anders M Dale

Erratum issuedAbstract readReview
In one paragraph

Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Increasing visibility of the neurobiology of eating disorders in youth - a commentary on Hagan et al. (2025).Journal of child psychology and psychiatry, and allied disciplines · 2026
    Article
  9. Independent brain cortical signatures of risk for adolescent cannabis use and consequences of such use are moderated by sex.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Comparing and scaling fMRI features for brain-behavior prediction.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  16. Review
  17. An Honest Reckoning With the Amygdala and Mental Illness.The American journal of psychiatry · 2024
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Carolina MakowskiDepartment of Radiology, University of California San Diego, San Diego, CA, USA. cmakowski@ucsd.edu.ORCID 0000-0002-8816-4549
Thomas E NicholsNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0002-4516-5103
Anders M DaleDepartments of Radiology and Neurosciences, University of California San Diego, San Diego, CA, USA.

Funding

Towards an etiological model of adolescent eating disorders through neuroimaging, genetics, and behaviorR00MH132886 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Carolina Makowski · 2025 to 2026
$496k
Towards an etiological model of adolescent eating disorders through neuroimaging, genetics, and behaviorK99MH132886 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MAKOWSKI, CAROLINA · 2023 to 2024
$162k
NIMH NIH HHS K99 MH132886NIMH NIH HHS R00 MH132886U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) K99MH132886
6 · The paper itself

Abstract

Neuroimaging has been widely adopted in psychiatric research, with hopes that these non-invasive methods will provide important clues to the underpinnings and prediction of various mental health symptoms and outcomes. However, the translational impact of neuroimaging has not yet reached its promise, despite the plethora of computational methods, tools, and datasets at our disposal. Some have lamented that too many psychiatric neuroimaging studies have been underpowered with respect to sample size. In this review, we encourage this discourse to shift from a focus on sheer increases in sample size to more thoughtful choices surrounding experimental study designs. We propose considerations at multiple decision points throughout the study design, data modeling and analysis process that may help researchers working in psychiatric neuroimaging boost power for their research questions of interest without necessarily increasing sample size. We also provide suggestions for leveraging multiple datasets to inform each other and strengthen our confidence in the generalization of findings to both population-level and clinical samples. Through a greater emphasis on improving the quality of brain-based and clinical measures rather than merely quantity, meaningful and potentially translational clinical associations with neuroimaging measures can be achieved with more modest sample sizes in psychiatry.

Indexed as

Mental DisordersNeuroimagingPsychiatryBrainHumansResearch DesignSample Size

Identifiers

PMID38902353
PMCPMC11525971

What Socratic 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 Socratic graph.