Evidence map›Paper›PMID 41993545›Full record

ArticlebioRxiv : the preprint server for biology2026

Connectome-based spatial statistics enabling large-scale population analyses of human connectome across cohorts.

Tengfei Li, Xifeng Wang, Martin Cole, Zehui Sun, Zhiwen Jiang, Xinjie Qian, Shan Gao, Tianyou Luo, Maxime Descoteaux, Jason L Stein and 5 more

Abstract readPreprint
In one paragraph

Article 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 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Tengfei LiDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0001-6142-3865
Xifeng WangDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.
Martin ColeDepartment of Psychiatry, University of Rochester, Rochester, New York, United Stated.
Zehui SunDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.
Zhiwen JiangDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.
Xinjie QianDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.
Shan GaoDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.
Tianyou LuoDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.
Maxime DescoteauxDepartment of Computer Science, University of Sherbrooke, Sherbrooke, Quebec, Canada.
Jason L SteinDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0003-4829-0513
Xiao WangDepartment of Statistics, Purdue University, West Lafayette, Indiana, United States.
Thomas E NicholsNuffield Department of Population Health of the University of Oxford, Oxford, England.ORCID 0000-0002-4516-5103
Heping ZhangDepartment of Biostatistics, Statistics, and Child Study Center, Yale University, New Haven, Connecticut, United States.ORCID 0000-0002-0688-4076
Zhengwu ZhangDepartment of Statistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.
Hongtu ZhuDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089983 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 2009 to 2011
$14.3M
2/2 Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089924 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2009 to 2011
$10.7M
Creating a Pediatric Imaging-Genomics Data ResourceRC2DA029475 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHANG, LINDA, DALE, ANDERS M · 2009 to 2011
$9.1M
Unified and fair multimodal representation learning for autoimmune diseasesOT2OD038045 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Saira Z Sheikh · 2024 to 2026
$6.0M
Construction 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
$3.7M
Mapping 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
$3.6M
Mapping Individual Cognitive Differences to Neural Variance and School ReadinessR01HD061414 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JERNIGAN, TERRY L. · 2010 to 2014
$3.3M
AD GxE: In vivo and in vitro modeling of gene x environment interactionsU01AG088667 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Jason Louis Stein · 2024 to 2026
$2.2M
Shared neural basis and genetic architecture of psychiatric disordersR01MH136055 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Bingxin Zhao · 2025 to 2026
$1.3M
NIA NIH HHS K01 AG095286NIA NIH HHS R01 AG085581NIA NIH HHS RF1 AG082938NIA NIH HHS RF1 AG098697NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG052564NIA NIH HHS U01 AG088667NICHD NIH HHS R01 HD061414NICHD NIH HHS R21 HD120911NIDA NIH HHS RC2 DA029475NIH HHS OT2 OD038045NIMH NIH HHS R01 MH136055NIMH NIH HHS RC2 MH089924NIMH NIH HHS RC2 MH089983NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

Large-scale population analyses of structural connectome organization remain challenging because of cross-subject alignment, pathway interpretability and computational burden. No widely adopted standard exists for systematic evaluation across processing methods. We developed connectome-based spatial statistics (CBSS), a scalable framework for anatomically aligned and functionally informed quantification of white-matter microstructure that yields atlas-defined pathways organized into

Identifiers

PMID41993545
PMCPMC13081836

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.