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
1 · What the graph read from itWhat 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
15 authors.
Tengfei LiDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0001-6142-3865 Yue YangDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0002-0470-7244 Seo-Ho ChoBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, North Carolina, Chapel Hill, United States.ORCID 0000-0002-2307-7014 Brittany R HowellFralin Biomedical Research Institute at VTC, Roanoke, VA, United States; Department of Human Development and Family Science, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States.ORCID 0000-0002-5643-2326 Zhengwang WuDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0003-4436-9005 Weiyan YinBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, North Carolina, Chapel Hill, United States.ORCID 0000-0002-1235-4522 Jed T ElisonInstitute of Child Development, University of Minnesota, Minneapolis, Minnesota, United States.ORCID 0000-0002-6246-1000 Khoi Minh HuynhBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, North Carolina, Chapel Hill, United States.ORCID 0000-0001-9538-2408 Sahar AhmadDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0001-7243-9977 Pew-Thian YapDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0003-1489-2102 Gang LiDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0001-9585-1382 Li WangDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0003-2165-0080 Hongtu ZhuBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, North Carolina, Chapel Hill, United States.ORCID 0000-0002-6781-2690 Weili LinDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0002-2900-8204 UNC/UMN Baby Connectome Project Consortium
Funding
5/6 HBCD Prenatal Experiences and Longitudinal Development (PRELUDE) ConsortiumU01DA055344 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Weili Lin · 2021 to 2026
$13.9MLongitudinal Mapping of Human Brain Development in the First Years of LifeR01EB008374 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YAP, PEW-THIAN · 2009 to 2024
$5.1MUNC/UMN Baby Connectome ProjectU01MH110274 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELISON, JED THOMAS, GILMORE, JOHN HORACE · 2016 to 2019
$4.5MConstruction and Application of Comprehensive Knowledge Graphs for Alzheimer's DiseaseR01AG085581 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yun Li, Hongtu Zhu · 2024 to 2026
$3.7MMapping the Causal Genetic-Imaging-Clinical Pathway for Alzheimer's DiseaseRF1AG082938 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Bingxin Zhao, Hongtu Zhu · 2023 to 2026
$3.6MInfant Brain and Behavioral Signatures of Later Emerging Risk for PsychopathologyR01MH104324 · NIMH · UNIVERSITY OF MINNESOTA · PI ELISON, JED THOMAS · 2014 to 2018
$2.6MComputational Diffusion MRI for Studying Early Human Brain DevelopmentR01MH125479 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YAP, PEW-THIAN · 2021 to 2025
$2.1MA comprehensive imaging genetics framework for osteoarthritis researchR01AR082684 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NIETHAMMER, MARC, ZHU, HONGTU · 2024 to 2025
$1.4MShared neural basis and genetic architecture of psychiatric disordersR01MH136055 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Bingxin Zhao · 2025 to 2026
$1.3MMultifaceted Characterization of Early Human Brain DevelopmentR01MH133836 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YAP, PEW-THIAN · 2024 to 2025
$1.2MInfant Cognitive Growth Prediction via Centile-based Brain Development and Meta MatchingR21HD120911 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, TENGFEI · 2025 to 2025
$414kTracking brain structural trajectories for early detection and prognosis of Alzheimer's DiseaseK01AG095286 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Tengfei Li · 2025 to 2026
$282kNIAMS NIH HHS R01 AR082684NIA NIH HHS K01 AG095286NIA NIH HHS R01 AG085581NIA NIH HHS RF1 AG082938NIBIB NIH HHS R01 EB008374NICHD NIH HHS R21 HD120911NIDA NIH HHS U01 DA055344NIMH NIH HHS R01 MH104324NIMH NIH HHS R01 MH125479NIMH NIH HHS R01 MH133836NIMH NIH HHS R01 MH136055NIMH NIH HHS U01 MH110274
6 · The paper itselfAbstract
The gut microbiome undergoes rapid maturation after birth and has been associated with cognition and mental health, yet its relation to early brain development remains poorly defined. We analyzed 223 typically developing children aged 0-3 years with multimodal MRI and paired fecal shotgun metagenomics. Microbiome-wide association analyses identified associations with cortical morphology, white-matter microstructure, and functional connectivity. Ridge-regularized canonical correlation analysis identified two principal covariance patterns: a structural-metabolic mode and a functional-taxonomic mode. Sparse canonical partial least squares recovered the principal CCA score and phenotype patterns within the same sample. Longitudinal canonical-score slopes were not significantly correlated; in autoregressive cross-lag models, however, neuroimaging CCA1 scores predicted microbiome CCA1 scores 1-6 months later. These results indicate cross-domain covariance and temporal ordering within the measured windows but do not establish causality.
Identifiers
PMID42818341
PMCPMC13622226
What OpenQuestion holds
Textmetadata
Read underepoch 390