Evidence map›Paper›PMID 40726825›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Kwok-Shing Chan, Yixin Ma, Hansol Lee, José P Marques, Jonas L Olesen, Santiago Coelho, Dmitry S Novikov, Sune N Jespersen, Susie Y Huang, Hong-Hsi Lee

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. ArXiv · 2025
    Article
  11. Article
  12. Article
4 · The record

Corrections and comments

  • Update of
    2024
5 · Who and what money

Authors and funding

10 authors.

Kwok-Shing ChanAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States.
Yixin MaAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States.
Hansol LeeAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States.
José P MarquesDonders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
Jonas L OlesenCenter of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Santiago CoelhoCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY 10016, USA.
Dmitry S NovikovCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY 10016, USA.
Sune N JespersenCenter of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Susie Y HuangAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States.
Hong-Hsi LeeAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States.

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
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
Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Mesoscopic Biomarkers of Neurodegeneration with Diffusion MRIR01NS088040 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FIEREMANS, ELS, NOVIKOV, DMITRY S · 2014 to 2023
$5.2M
Toward a Validated in Vivo Imaging Marker of Axonal Damage Predictive of Progressive Disability in Multiple SclerosisR01NS118187 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI HUANG, SUSIE YI · 2021 to 2025
$2.8M
Random Matrix Theory-Based Noise Removal in MRIR01EB027075 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FIEREMANS, ELS, NOVIKOV, DMITRY S · 2019 to 2022
$2.7M
Revealing tissue microstructure in the brain gray matter in Alzheimer's disease using in vivo high-gradient diffusion MRIDP5OD031854 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HONG HSI · 2021 to 2025
$2.1M
Next-generation 3 Tesla Human MRI SystemS10OD032184 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI HUANG, SUSIE YI · 2023 to 2023
$2.0M
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
Computeserver Structural &Functional Image AnalysisS10RR019307 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2004 to 2004
$496k
Developing a validated biomarker of cortical neurodegeneration in Alzheimer's disease using high-gradient diffusion MRIR21AG085795 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HUANG, SUSIE YI · 2024 to 2025
$459k
NCRR NIH HHS S10 RR019307NCRR NIH HHS S10 RR023401NIA NIH HHS R21 AG085795NIBIB NIH HHS P41 EB015896NIBIB NIH HHS P41 EB017183NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB027075NIBIB NIH HHS U01 EB026996NIH HHS DP5 OD031854NIH HHS S10 OD032184NINDS NIH HHS R01 NS088040NINDS NIH HHS R01 NS118187
6 · The paper itself

Abstract

Evaluating tissue microstructure and membrane integrity in the living human brain through diffusion-water exchange imaging is challenging due to requirements for a high signal-to-noise ratio and short diffusion times dictated by relatively fast exchange processes. The goal of this work was to demonstrate the feasibility of

Indexed as

Diffusionexchangegray mattermembrane integritymicrostructure

Identifiers

PMID40726825
PMCPMC12302768

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.