Evidence map›Paper›PMID 41675933›Full record

ArticleAperture neuro2025

BrainEffeX: A Web App for Exploring fMRI Effect Sizes.

Hallee Shearer, Matt Rosenblatt, Jean Ye, Rongtao Jiang, Link Tejavibulya, Maya Foster, Qinghao Liang, Javid Dadashkarimi, Margaret L Westwater, Catherine Cahill and 13 more

Abstract read
In one paragraph

Article in Aperture neuro, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. The Hidden Landscape of Missed Effects in Human Functional Neuroimaging.bioRxiv : the preprint server for biology · 2026
    Article
  3. 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

23 authors.

Hallee ShearerDepartment of Psychology, Northeastern University.
Matt RosenblattDepartment of Biomedical Engineering, Yale University.
Jean YeInterdepartmental Neuroscience Program, Yale University.
Rongtao JiangDepartment of Radiology & Biomedical Imaging, Yale University.
Link TejavibulyaInterdepartmental Neuroscience Program, Yale University.
Maya FosterDepartment of Biomedical Engineering, Yale University.
Qinghao LiangDepartment of Biomedical Engineering, Yale University.
Javid DadashkarimiMartinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Margaret L WestwaterDepartment of Radiology & Biomedical Imaging, Yale University.
Catherine CahillDepartment of Bioengineering, Northeastern University.
Iris ChengDepartment of Radiology & Biomedical Imaging, Yale University.
Alexandra FischbachDepartment of Psychology, Northeastern University.
Ashley HumphriesDepartment of Psychology, University of Nebraska-Lincoln.
Aneesh Kumar BaskaranKhoury College of Computer Science, Northeastern University.
Max J RolisonChild Study Center, Yale School of Medicine.
Hannah PetersonDepartment of Radiology & Biomedical Imaging, Yale University.
Brendan D AdkinsonInterdepartmental Neuroscience Program, Yale University.
Saloni MehtaDepartment of Radiology & Biomedical Imaging, Yale University.
Chris CampInterdepartmental Neuroscience Program, Yale University.
Thomas E NicholsBig Data Institute, Li Ka Shing Centre for Health Information and Discovery,Nuffield Department of Population Health, University of Oxford.
Joshua CurtissDepartment of Applied Psychology, Northeastern University.
Dustin ScheinostDepartment of Radiology & Biomedical Imaging, Yale University.
Stephanie NobleDepartment of Psychology, Northeastern University.

Funding

Empirical Power Analysis Tool for fMRIR00MH130894 · NIMH · NORTHEASTERN UNIVERSITY · PI NOBLE, STEPHANIE MARIE · 2023 to 2025
$678k
Empirical Power Analysis Tool for fMRIK99MH130894 · NIMH · YALE UNIVERSITY · PI NOBLE, STEPHANIE MARIE · 2022 to 2022
$123k
NIMH NIH HHS K99 MH130894NIMH NIH HHS R00 MH130894
6 · The paper itself

Abstract

Effect size estimation is crucial for power analyses and experimental design, but poses unique challenges in fMRI research due to the complexity of the data and analysis techniques. Here, we introduce an interactive web application for exploring fMRI effect maps (neuroprismlab.shinyapps.io/BrainEffeX). We utilized large fMRI datasets to obtain precise voxel-wise and multivariate effect size estimates from "typical" fMRI study designs: brain-behavior correlation, task vs. rest, and between-group analyses of functional connectivity and task-based activation maps. The app is intentionally designed as a growing resource, and we welcome contributions of large (n > 500) datasets.

Identifiers

PMID41675933
PMCPMC12889895

What OpenQuestion holds

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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.