In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
33 authors.
Julia MoserMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0002-6219-415X Thomas J MadisonMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0003-3030-6580 Rae McCollumMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID 0009-0002-3730-9995 Jacob T LundquistMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0001-9573-1954 Begim FayzullobekovaMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
Lidia HaderaMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
Han H N PhamMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
Lucille A MooreMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0002-7665-2713 Audrey HoughtonMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0001-9426-7969 Greg ConanMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
Martin A StynerDepartment of Psychiatry and Computer Science, University of North Carolina at Chapel Hill.ORCID 0000-0002-8747-5118 Sally M StoyellMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID 0009-0000-0397-8504 Sanju KoiralaMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0001-8844-4586 Steven M NelsonMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
Kimberly B WeldonMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0003-4349-9916 Robert J M HermosilloMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0003-2959-8483 Luca VizioliCenter for Magnetic resonance Research, University of Minnesota.
Gaurav H PatelDepartment of Psychiatry, Columbia University Irving Medical Center and New York State Psychiatric Institute.
Juan SanchezDepartment of Psychiatry, Columbia University Irving Medical Center and New York State Psychiatric Institute.
Kenneth WenglerDepartment of Psychiatry, Columbia University Irving Medical Center and New York State Psychiatric Institute.ORCID 0000-0002-8153-5183 Theodore D SatterthwaitePenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania.ORCID 0000-0001-7072-9399 Jed T ElisonMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0002-6246-1000 Eric FeczkoMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
Damien A FairMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0001-8602-393X Funding
Longitudinal Mapping of Network Development Underlying Executive Dysfunction in AdolescenceR01MH113550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Danielle Smith Bassett, Theodore Satterthwaite · 2018 to 2026
$6.9MPersonalized Functional Network Modeling to Characterize and Predict Psychopathology in YouthR01EB022573 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yong Fan, Theodore Satterthwaite · 2016 to 2026
$6.0MPrecision mapping of individualized executive networks in youthR37MH125829 · NIMH · UNIVERSITY OF MINNESOTA · PI Damien A Fair, Theodore Satterthwaite · 2021 to 2026
$4.7MUNC/UMN Baby Connectome ProjectU01MH110274 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELISON, JED THOMAS, GILMORE, JOHN HORACE · 2016 to 2019
$4.5MInfant Brain and Behavioral Signatures of Later Emerging Risk for PsychopathologyR01MH104324 · NIMH · UNIVERSITY OF MINNESOTA · PI ELISON, JED THOMAS · 2014 to 2018
$2.6MNIPreps: integrating neuroimaging preprocessing workflows across modalities, populations, and speciesRF1MH121867 · NIMH · STANFORD UNIVERSITY · PI POLDRACK, RUSSELL A, ROKEM, ARIEL SHALOM · 2021 to 2022
$1.6MNIBIB NIH HHS R01 EB022573NIMH NIH HHS R01 MH104324NIMH NIH HHS R01 MH113550NIMH NIH HHS R37 MH125829NIMH NIH HHS RF1 MH121867NIMH NIH HHS U01 MH110274
6 · The paper itselfAbstract
The adoption of a standardized preprocessing workflow is vital for fostering community, sharing, and reproducibility. fMRIPrep has been a critical advancement towards this end, however, it is limited in its capacity to be applied to data across the lifespan, starting from infancy. Here, we introduce fMRIPrep Lifespan, an extension of fMRIPrep that extends the standardized processing from childhood to senescence to include neonatal, infant, and toddler structural and functional MRI data preprocessing. This effort involves a NiPreps integration of 1) a workflow akin to fMRIPrep optimized for MRI data in the first years of life (previously NiBabies) and 2) upstream enhancements to the entire NiPreps suite, including multi-echo data processing, modularization of workflow components, and convergence of processing with other popular workflows (ABCD-BIDS, Human Connectome Project Pipelines). Using data from the Baby Connectome Project (participants 1-43 months of age), we demonstrate that fMRIPrep Lifespan produces high-quality outputs across a wide age range. Moving forward, the scalable, modular infrastructure of fMRIPrep Lifespan will ensure adaptability to data from birth to old age while maintaining robust and reproducible frameworks for functional MRI research across the lifespan.
Identifiers
PMID40462975
PMCPMC12132292
What OpenQuestion holds
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LicenceCC BY
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