In one paragraphArticle in bioRxiv : the preprint server for biology, 2026. 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
22 authors.
Michelle WangMcConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Canada.ORCID 0000-0002-3432-6899 Nikhil BhagwatMcConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Canada.ORCID 0000-0001-6073-7141 Francesco CremonesiEpione Research Team, Inria Center of Université Côte d'Azur, Sophia Antipolis, France.ORCID 0000-0003-1027-485X Mathieu DugréMcConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Canada.ORCID 0000-0003-2828-6031 Julia-Katharina PfarrMcConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Canada.ORCID 0000-0003-1450-6005 Emile d'AngremontDepartment of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0002-5468-8811 Alyssa DaiMcConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Canada.ORCID 0000-0003-0174-6800 Arman JahanpourMcConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Canada.ORCID 0009-0008-5034-7535 Sebastian UrchsMcConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Canada.ORCID 0000-0001-5504-8579 Sergen CansizSED Group, Inria Center of Université Côte d'Azur, Sophia Antipolis, France.
Lucie ChambonEpione Research Team, Inria Center of Université Côte d'Azur, Sophia Antipolis, France.ORCID 0009-0007-7850-7695 Ali Tolga DinçerSED Group, Inria Center of Université Côte d'Azur, Sophia Antipolis, France.
Jhonatan TorresSED Group, Inria Center of Université Côte d'Azur, Sophia Antipolis, France.
Gabriel Pinilla-MonsalveCentre de Recherche, Institut Universitaire de Gériatrie de Montréal, Montréal, Canada.ORCID 0000-0003-1149-8193 Yuan SongCentre de Recherche, Institut Universitaire de Gériatrie de Montréal, Montréal, Canada.
Chris VriendDepartment of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0003-3111-1304 Ysbrand D van der WerfDepartment of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0003-2370-9584 Jean-Baptiste PolineMcConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Canada.ORCID 0000-0002-9794-749X Funding
Resource DiscoveryP41EB019936 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI David Nelson Kennedy · 2016 to 2026
$15.2MLarge-scale meta-analysis of functional MRI dataR01MH096906 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI Alejandro De La Vega · 2012 to 2026
$7.9MExposing the Deep Content of the Publication: Knowledge Extraction for Neuroimaging in Child PsychiatryR01MH083320 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI FRAZIER, JEAN A, KENNEDY, DAVID NELSON · 2009 to 2020
$6.3MThe Neuroimaging Data Model: FAIR descriptors of Brain Initiative Imaging ExperimentsRF1MH120021 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI KEATOR, DAVID BRYANT · 2019 to 2019
$944kNIBIB NIH HHS P41 EB019936NIMH NIH HHS R01 MH083320NIMH NIH HHS R01 MH096906NIMH NIH HHS RF1 MH120021
6 · The paper itselfAbstract
Despite growing understanding of the benefits of having Findable, Accessible, Interoperable, and Reusable (FAIR) data, many datasets still cannot be shared. Federated analysis methods can enable multisite studies that do not require the sharing of participant-level information. However, there are many practical hurdles that prevent the large-scale adoption of federated methods. We discuss challenges related to cross-site data preparation for federated learning, present solutions offered by recent neuroinformatics projects, and showcase an example of tool integration applied to neurodegenerative disease data.
Identifiers
PMID42146517
PMCPMC13174541
What OpenQuestion holds
Textmetadata
LicenceCC BY
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