Evidence map›Paper›PMID 41756864›Full record

ArticlebioRxiv : the preprint server for biology2026

Multi-dimensional diffusion MRI at ultra-high gradient strength for mapping axonal architecture and microstructure in the primate brain.

Ting Gong, Chiara Maffei, Dongsuk Sung, Elissa Bell, Jingjing Wu, Jasmine Shao, Emma W Rosenblum, Xiangrui Zeng, Gabriel Ramos-Llorden, Alina Müller and 8 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

18 authors.

Ting GongAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Chiara MaffeiAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Dongsuk SungAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Elissa BellAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Jingjing WuAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Jasmine ShaoAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Emma W RosenblumAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Xiangrui ZengAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Gabriel Ramos-LlordenAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Alina MüllerMittelhessen University of Applied Sciences, Giessen, Germany.
Mirsad MahmutovicMittelhessen University of Applied Sciences, Giessen, Germany.
Boris KeilMittelhessen University of Applied Sciences, Giessen, Germany.
Kabilar GunalanMassachusetts Institute of Technology, Cambridge, MA, United States.
Satrajit GhoshMassachusetts Institute of Technology, Cambridge, MA, United States.
Jean C AugustinackAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Susie Y HuangAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Suzanne N HaberDepartment of Pharmacology and Physiology, University of Rochester, Rochester, NY, United States.
Anastasia YendikiAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.

Funding

BRAIN CONNECTS: The center for Large-scale Imaging of Neural Circuits (LINC)UM1NS132358 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Suzanne N Haber, Elizabeth M. C. Hillman · 2023 to 2026
$17.5M
Bridging Diffusion MRI and Chemical Tracing for Validation and Inference of Fiber ArchitecturesR01NS119911 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI YENDIKI, ANASTASIA · 2021 to 2024
$2.6M
Mapping Human Neurocircuitry Across Scales with Diffusion MRI and Optical ImagingR01NS127353 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Anastasia Yendiki · 2024 to 2026
$1.9M
Fingerprinting Spatiotemporal Patterns of Brain Maturation with Combined Diffusion-Relaxometry Microstructure ImagingK99EB037396 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Ting Gong · 2025 to 2026
$269k
NIBIB NIH HHS K99 EB037396NINDS NIH HHS R01 NS119911NINDS NIH HHS R01 NS127353NINDS NIH HHS UM1 NS132358
6 · The paper itself

Abstract

We present the most comprehensive sampling of the macaque and human brain with diffusion MRI to date. As part of the BRAIN CONNECTS center for Large-scale Imaging of Neural Circuits, we leverage ultra-high-gradient MRI systems, including the first-of-its-kind Connectome 2.0, for post-mortem acquisitions. Each sample is imaged for ~250 hours at multiple spatial resolutions down to 0.25 mm isotropic for whole macaque brains and 0.4 mm isotropic for human hemispheres. Our optimized protocols allow us to sample both species across ~50 diffusion shells varying in b-value, diffusion time, and echo time, reaching ultra-high b-values up to 64000

Identifiers

PMID41756864
PMCPMC12934635

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.