Evidence map›Paper›PMID 41280083›Full record

ArticlebioRxiv : the preprint server for biology2025

Bridging Histology and Tractography: First Visualization of the Short-Range Prefrontal Connections in the Human Brain.

Matthew Amandola, Michael E Kim, François Rheault, Bennett Landman, Kurt Schilling

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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

5 authors.

Matthew AmandolaVanderbilt University Institute of Imaging Science, Nashville, TN, USA.ORCID 0009-0005-3445-6326
Michael E KimDepartment of Computer Science, Vanderbilt University, Nashville, TN.ORCID 0009-0006-3562-2688
François RheaultDepartment of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID 0000-0002-0097-8004
Bennett LandmanDepartment of Computer Science, Vanderbilt University, Nashville, TN.ORCID 0000-0001-5733-2127
Kurt SchillingVanderbilt University Institute of Imaging Science, Nashville, TN, USA.ORCID 0000-0003-3686-7645

Funding

Postdoctoral Training in Biomedical MRI and MRST32EB001628 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI John C Gore · 2003 to 2026
$7.0M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
Microstructure and connectivity modeling from the cortex to the spinal cord in Multiple SclerosisK01EB032898 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHILLING, KURT G · 2022 to 2025
$630k
NIBIB NIH HHS K01 EB032898NIBIB NIH HHS R01 EB017230NIBIB NIH HHS T32 EB001628
6 · The paper itself

Abstract

Decades of histological research in non-human primates have revealed a dense web of short-range connections underpinning prefrontal cortex (PFC) function. However, translating this anatomical ground-truth to the living human brain has been a major challenge, leaving our understanding of the PFC's intrinsic wiring incomplete. These short-range fibers are difficult to resolve with non-invasive methods like diffusion tractography, which are often hampered by false positives. Here, we provide the first systematic in-vivo visualization of these pathways in the human brain. By guiding high-resolution probabilistic tractography with established histological findings, we mapped the short-range connections within and between five major PFC subdivisions in 1,003 individuals (547 F, 456 M). Our anatomically-guided approach successfully reconstructed these intricate connections with high precision (>80%) and accuracy (>70%) relative to histological findings. The resulting tracts not only captured broad organizational principles but also replicated fine-grained patterns previously only seen in invasive studies. Furthermore, these connections showed high test-retest reliability within individuals alongside significant variability between them, highlighting a stable yet unique anatomical fingerprint. Ultimately, this study shows how linking histology to tractography provides a powerful framework to advance our understanding of the human connectome and opens avenues to investigate local circuitry that underpins cognition and disease.

Identifiers

PMID41280083
PMCPMC12633442

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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.