Evidence map›Paper›PMID 41509330›Full record

ArticlebioRxiv : the preprint server for biology2025

Anatomical White Matter Tracts Span the Cortical Hierarchy to Support Cognitive Diversity.

Joëlle Bagautdinova, Golia Shafiei, Audrey C Luo, Margaret K Pecsok, Taylor Salo, Aaron F Alexander-Bloch, Dani S Bassett, Margaret E Gardner, Raquel E Gur, Ruben C Gur and 11 more

Abstract readPreprint
In one paragraph

Article 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
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

5 · Who and what money

Authors and funding

21 authors.

Joëlle BagautdinovaPenn Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-7201-467X
Golia ShafieiPenn Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-2036-5571
Audrey C LuoPenn Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-6798-1876
Margaret K PecsokDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-6806-5423
Taylor SaloPenn Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-9813-3167
Aaron F Alexander-BlochDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Dani S BassettDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
Margaret E GardnerDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-4498-0827
Raquel E GurDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Ruben C GurDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Allyson P MackeyDepartment of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA.
Bratislav MisicMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada.
Tyler M MooreDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
David R RoalfDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Russell T ShinoharaPenn Statistics in Imaging and Visualization Endeavor, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Valerie J SydnorDepartment of Psychiatry, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA.
Tien T TongPenn Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Fang-Cheng YehDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
Russell A PoldrackDepartment of Psychology, Stanford University, Stanford, CA, United States.
Matthew CieslakPenn Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Theodore D SatterthwaitePenn Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-7072-9399

Funding

Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089983 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 2009 to 2011
$14.3M
NMDA Receptor Hypofunction in the Amygdala of Schizophrenia PatientsP50MH096891 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI HAKONARSON, HAKON · 2012 to 2016
$10.6M
CLINICAL RESEARCH TRAINING IN CHILD PSYCHIATRYT32MH018951 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TINA R GOLDSTEIN · 1990 to 2026
$9.7M
Statistical Methods for Multilevel Multivariate Functional StudiesR01NS060910 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Ciprian M Crainiceanu · 2009 to 2026
$8.3M
Longitudinal Mapping of Network Development Underlying Executive Dysfunction in AdolescenceR01MH113550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Danielle Smith Bassett, Theodore Satterthwaite · 2018 to 2026
$6.9M
Training for Transformative Discovery in PsychiatryT32MH016804 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SWEET, ROBERT A · 1985 to 2025
$6.2M
Personalized Functional Network Modeling to Characterize and Predict Psychopathology in YouthR01EB022573 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yong Fan, Theodore Satterthwaite · 2016 to 2026
$6.0M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
Precision mapping of individualized executive networks in youthR37MH125829 · NIMH · UNIVERSITY OF MINNESOTA · PI Damien A Fair, Theodore Satterthwaite · 2021 to 2026
$4.7M
The Genetics of Personalized Functional MRI NetworksR01MH132934 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI Aaron Felix Alexander-Bloch · 2023 to 2026
$4.2M
Harmonization of Multi-Site Neuroimaging Data from Complex Study DesignsR01MH123550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2025
$4.0M
Ultra-high field GluCEST MRI and MRS in youth at risk for psychosisR01MH120174 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ROALF, DAVID R · 2020 to 2024
$3.8M
NIBIB NIH HHS R01 EB022573NIMH NIH HHS F30 MH136690NIMH NIH HHS F31 MH136685NIMH NIH HHS P50 MH096891NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH117014NIMH NIH HHS R01 MH120174NIMH NIH HHS R01 MH120482NIMH NIH HHS R01 MH123550NIMH NIH HHS R01 MH123563NIMH NIH HHS R01 MH132934NIMH NIH HHS R01 MH133843NIMH NIH HHS R37 MH125829NIMH NIH HHS RC2 MH089983NIMH NIH HHS RF1 MH116920NIMH NIH HHS T32 MH016804NIMH NIH HHS T32 MH018951NINDS NIH HHS R01 NS060910NINDS NIH HHS U24 NS130411
6 · The paper itself

Abstract

Long-range white matter (WM) tracts support cognition by enabling communication between distant cortical regions, which are organized along a hierarchy defined by the sensorimotor-to-association (S-A) axis. However, it remains unknown how WM tracts are positioned within the cortical hierarchy to support cognition. Here, we show that WM tracts are differentially positioned in the cortical hierarchy to support specific cognitive functions, and that tracts spanning the hierarchy connect regions with greater cognitive diversity. Moreover, tracts situated within the same hierarchical level connect biologically similar regions, while those crossing the hierarchy bridge distinct biological milieux to support diverse cognitive functions. The placement of tracts in the cortical hierarchy also reflects developmental variation in tract microstructure and individual differences in cognition. Together, these findings provide a framework that moves beyond conventional categories of association or projection tracts and links WM tract anatomy to cortical organization, cognitive function, cortical neurobiology, and neurodevelopment. We anticipate that this cortex-anchored framework for describing WM tracts may aid the interpretation of individual differences in WM structure related to development and behavior.

Identifiers

PMID41509330
PMCPMC12776108

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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.