Evidence map›Paper›PMID 42866636›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2026

Reduced NEXI protocol for the quantification of human gray matter microstructure on the Connectome 2.0 scanner.

Quentin Uhl, Tommaso Pavan, Julianna Gerold, Kwok-Shing Chan, Yohan Jun, Shohei Fujita, Aneri Bhatt, Yixin Ma, Qiaochu Wang, Hong-Hsi Lee and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 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

13 authors.

Quentin UhlDepartment of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-9160-4605
Tommaso PavanDepartment of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-3436-6882
Julianna GeroldDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States.ORCID https://orcid.org/0009-0000-5460-6591
Kwok-Shing ChanDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States.ORCID https://orcid.org/0000-0001-8427-169X
Yohan JunDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States.ORCID https://orcid.org/0000-0003-4787-4760
Shohei FujitaDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States.ORCID https://orcid.org/0000-0003-4276-6226
Aneri BhattDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States.ORCID https://orcid.org/0009-0003-3502-9399
Yixin MaDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States.ORCID https://orcid.org/0000-0002-2080-9013
Qiaochu WangDepartment of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0009-0007-0234-6864
Hong-Hsi LeeDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States.ORCID https://orcid.org/0000-0002-3663-6559
Susie Y HuangDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States.ORCID https://orcid.org/0000-0003-2950-7254
Berkin BilgicDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States.ORCID https://orcid.org/0000-0002-9080-7865
Ileana JelescuDepartment of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-3664-0195

Funding

CONNECTOME 2.0: DEVELOPING THE NEXT GENERATION HUMAN MRI SCANNER FOR BRIDGING STUDIES OF THE MICRO-, MESO- AND MACRO-CONNECTOMEU01EB026996 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BASSER, PETER J., HUANG, SUSIE YI · 2018 to 2022
$14.2M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9M
MRI technology for restoring brain image quality for pediatric patients with metallic orthodontic hardwareR01EB028797 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Berkin Bilgic, Jason P Stockmann · 2020 to 2026
$3.0M
Harmonizing data acquisition, reconstruction, and analysis for reproducible, cross-vendor, open source MRIR01EB032378 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI BILGIC, BERKIN, RATHI, YOGESH · 2022 to 2025
$2.7M
Low-dose contrast enhanced fast pediatric brain MRIR01EB034757 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI Berkin Bilgic, Borjan Gagoski · 2024 to 2026
$1.8M
Hybrid TMS/MRI system for regionally tailored causal mapping of human cortical circuits and connectivityUG3EB034875 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BILGIC, BERKIN, HUANG, SUSIE YI · 2023 to 2024
$837k
Rapid, Motion-Robust, and Low-Gadolinium MRI for Pediatric Brain TumorsR21EB036105 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI JAIMES COBOS, CAMILO, JUN, YOHAN · 2024 to 2024
$668k
Submillimeter resolution diffusion MRI of the medial temporal lobe in the earliest stages of Alzheimer's diseaseR21AG082377 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI BILGIC, BERKIN, HUANG, SUSIE YI · 2024 to 2025
$459k
NIA NIH HHS R21 AG082377NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB028797NIBIB NIH HHS R01 EB032378NIBIB NIH HHS R01 EB034757NIBIB NIH HHS R21 EB036105NIBIB NIH HHS U01 EB026996NIBIB NIH HHS UG3 EB034875
6 · The paper itself

Abstract

Biophysical diffusion MRI models such as Neurite Exchange Imaging (NEXI) are essential for probing gray matter microstructure, estimating compartment diffusivities (

Indexed as

BrainConnectomeDiffusion Magnetic Resonance ImagingGray MatterAdultFemaleHumansImage Processing, Computer-AssistedMaleNeuritesReproducibility of ResultsYoung Adultclinical translationdiffusion MRIexplainable AIgray matter microstructureNEXIprotocol optimization

Identifiers

PMID42866636
PMCPMC13657203

What OpenQuestion holds

Textmetadata
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.