Evidence map›Paper›PMID 39392220›Full record

ArticleHuman brain mapping2024

Assessment of the Depiction of Superficial White Matter Using Ultra-High-Resolution Diffusion MRI.

Fan Zhang, Yuqian Chen, Lipeng Ning, Jarrett Rushmore, Qiang Liu, Mubai Du, Shiva Hassanzadeh-Behbahani, Jon Haitz Legarreta, Edward Yeterian, Nikos Makris and 2 more

Abstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Spatiotemporal white-matter development across early childhood.Cerebral cortex (New York, N.Y. : 1991) · 2026
    Article
  2. Article
  3. Article
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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

12 authors.

Fan ZhangSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0002-5032-6039
Yuqian ChenDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Lipeng NingDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-4992-459X
Jarrett RushmoreDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Qiang LiuDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Mubai DuSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Shiva Hassanzadeh-BehbahaniDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Jon Haitz LegarretaDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Edward YeterianDepartment of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts, USA.
Nikos MakrisDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Yogesh RathiDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-9946-2314
Lauren J O'DonnellSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0003-0197-7801

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON, WESTIN, CARL-FREDRIK · 2012 to 2022
$20.9M
Neural substrates of diffusion imaging in cognitively aging rhesus monkeysR01AG042512 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI KUBICKI, MAREK, MAKRIS, NIKOLAOS · 2013 to 2023
$6.5M
Next generation in-vivo diffusion imaging at submillimeter resolutionR01MH116173 · NIMH · STANFORD UNIVERSITY · PI Yogesh Rathi, Kawin Setsompop · 2018 to 2026
$6.2M
Mapping the superficial white matter connectome of the human brain using ultra high resolution multi-contrast diffusion MRIR01MH125860 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI MAKRIS, NIKOLAOS, O'DONNELL, LAUREN JEAN · 2021 to 2025
$4.1M
High Resolution, Comprehensive Atlases of the Human Brain MorphologyR01MH112748 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI BOUIX, SYLVAIN, KUBICKI, MAREK · 2018 to 2022
$4.1M
Harmonizing multi-site diffusion MRI acquisitions for neuroscientific analysis across ages and brain disordersR01MH119222 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI O'DONNELL, LAUREN JEAN, RATHI, YOGESH · 2019 to 2023
$4.0M
Quantitative Glioblastoma Margin and Infiltration Mapping with Advanced Diffusion-Relaxation MRIR01NS125781 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI ALEXANDRA J GOLBY, Carl-Fredrik Westin · 2022 to 2026
$3.6M
Unraveling the Superficial White Matter of the Primate Brain: Tracer-Based Histology and dMRI Tractography ValidationR01NS125307 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI NIKOLAOS MAKRIS, RICHARD Jarrett RUSHMORE · 2022 to 2026
$3.4M
Mapping of the intrinsic and extrinsic cerebellar connectome at ultra high resolution with expert neuroanatomical curationR01MH132610 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI MAKRIS, NIKOLAOS, O'DONNELL, LAUREN JEAN · 2023 to 2025
$2.6M
Patient-specific, Effective, and Rational Functional Connectivity Targeting for DBS in OCDR01MH111917 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI DOUGHERTY, DARIN D, MAKRIS, NIKOLAOS · 2017 to 2019
$2.1M
Mentoring and neuroimaging research on new targets for DBS in OCDK24MH116366 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI MAKRIS, NIKOLAOS · 2018 to 2022
$817k
National Key Research and Development Program of China 2023YFE0118600National Natural Science Foundation of China 62371107NIA NIH HHS K00 AG089313NIA NIH HHS R01 AG042512NIBIB NIH HHS P41 EB015902NIDA NIH HHS R21 DA042271NIH HHS K24MH116366NIH HHS P41EB015902NIH HHS R01AG042512NIH HHS R01MH111917NIH HHS R01MH112748NIH HHS R01MH116173NIH HHS R01MH119222NIH HHS R01MH125860NIH HHS R01MH132610NIH HHS R01NS125307NIH HHS R01NS125781NIH HHS R21DA042271NIH HHS R21NS136960NIMH NIH HHS K24 MH116366NIMH NIH HHS R01 MH111917NIMH NIH HHS R01 MH112748NIMH NIH HHS R01 MH116173NIMH NIH HHS R01 MH119222NIMH NIH HHS R01 MH125860NIMH NIH HHS R01 MH132610NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS125307NINDS NIH HHS R01 NS125781NINDS NIH HHS R21 NS136960
6 · The paper itself

Abstract

The superficial white matter (SWM) consists of numerous short-range association fibers connecting adjacent and nearby gyri and plays an important role in brain function, development, aging, and various neurological disorders. Diffusion MRI (dMRI) tractography is an advanced imaging technique that enables in vivo mapping of the SWM. However, detailed imaging of the small, highly-curved fibers of the SWM is a challenge for current clinical and research dMRI acquisitions. This work investigates the efficacy of mapping the SWM using in vivo ultra-high-resolution dMRI data. We compare the SWM mapping performance from two dMRI acquisitions: a high-resolution 0.76-mm isotropic acquisition using the generalized slice-dithered enhanced resolution (gSlider) protocol and a lower resolution 1.25-mm isotropic acquisition obtained from the Human Connectome Project Young Adult (HCP-YA) database. Our results demonstrate significant differences in the cortico-cortical anatomical connectivity that is depicted by these two acquisitions. We perform a detailed assessment of the anatomical plausibility of these results with respect to the nonhuman primate (macaque) tract-tracing literature. We find that the high-resolution gSlider dataset is more successful at depicting a large number of true positive anatomical connections in the SWM. An additional cortical coverage analysis demonstrates significantly higher cortical coverage in the gSlider dataset for SWM streamlines under 40 mm in length. Overall, we conclude that the spatial resolution of the dMRI data is one important factor that can significantly affect the mapping of SWM. Considering the relatively long acquisition time, the application of dMRI tractography for SWM mapping in future work should consider the balance of data acquisition efforts and the efficacy of SWM depiction.

Indexed as

White MatterAdultAnimalsBrainConnectomeDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleYoung Adult

Identifiers

PMID39392220
PMCPMC11467805

What Socratic holds

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Registered trials

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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 Socratic graph.