Evidence map›Paper›PMID 42427881›Full record

ArticleResearch square2026

Submillimeter postmortem and in vivo diffusion and susceptibility magnetic resonance imaging to characterize cortical micro- and meso-structures.

Yuto Uchida, Hyeong-Geol Shin, Laura Gomez-Isaza, Juan C Troncoso, Adnan Bibic, Julianna Gerold, Dongsuk Sung, Yohan Jun, Fuyixue Wang, Zijing Dong and 5 more

Abstract readPreprint
In one paragraph

Article in Research square, 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

15 authors.

Yuto UchidaDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Hyeong-Geol ShinDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Laura Gomez-IsazaDepartment of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Juan C TroncosoDepartment of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Adnan BibicDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Julianna GeroldAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA.
Dongsuk SungAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA.
Yohan JunAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA.
Fuyixue WangAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA.
Zijing DongAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA.
Susie HuangAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA.
Berkin BilgicAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA.
Peter van ZijlDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Xu LiDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Kenichi OishiDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Funding

Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang, BRUCE R ROSEN · 2020 to 2026
$10.9M
TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Andreia Vasconcellos Faria · 2021 to 2026
$9.9M
Connectome 2.0: A BRAIN Technology Integration and Dissemination Resource for Ultra-High Gradient Magnetic Resonance Imaging of Human Brain Circuits Across ScalesU24NS137077 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2024 to 2026
$4.0M
Advancing fMRI Acquisition through Dissemination of EPTI- An Efficient Distortion-Free Multi-Contrast Imaging TechnologyU24NS129893 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Fuyixue Wang · 2023 to 2026
$2.6M
Developing next-generation imaging technologies for in-vivo mesoscale diffusion MRI and microstructure imagingR01EB036507 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Fuyixue Wang · 2025 to 2026
$1.3M
NIBIB NIH HHS P41 EB030006NIBIB NIH HHS P41 EB031771NIBIB NIH HHS R01 EB036507NINDS NIH HHS U24 NS129893NINDS NIH HHS U24 NS137077
6 · The paper itself

Abstract

The human cerebral cortex consists of anatomically and functionally distinct regions defined by heterogeneous cytoarchitectonic, myelin-related microstructural organization. Quantitative magnetic resonance imaging (MRI) provides a noninvasive framework to resolve subtle regional differences across the cortical mantle. Among different MRI contrasts, diffusion and susceptibility MRI of the brain provide complementary sensitivity to micro-, meso-, and macro-structural organization. However, it remains unclear which fine-scale cortical patterns, typically observed within postmortem scans, are preserved in vivo at matched submillimeter resolution, given limited acquisition time and physiological noise. In this study, we performed a comparative, atlas-based quantification of high-resolution human brain MRI images acquired postmortem and in vivo at approximately 0.5 mm isotropic resolution, focusing on diffusion fractional anisotropy (FA) and tissue magnetic susceptibility (χ) derived from quantitative susceptibility mapping (QSM). For postmortem imaging, diffusion MRI was performed on the left hemisphere from a 71 y/o male using a 3T Connectome 2.0 system, while multi-orientation susceptibility MRI was performed at 7T. In vivo datasets were acquired with diffusion MRI using the signal-to-noise ratio-efficient, distortion-free Romer-EPTI acquisition from a healthy volunteer, 27 y/o female, on the same 3T Connectome, and susceptibility MRI on a 7T system at matched submillimeter resolutions. Using OpenMAP-T1 with the JHU-MNI (Eve) Level 4 parcellation, we performed atlas-based analyses on FA and χ, with additional cortical surface mapping to characterize micro- and meso-structural heterogeneities within the cortical mantle. We then assessed the correspondence between postmortem and in vivo measured metrics. Atlas-based cortical surface mapping revealed consistent anatomical variations in both quantitative MRI metrics, with consistently elevated FA and χ values in the precentral and posterior cortical regions relative to surrounding association cortices, while divergent patterns in the cingulate cortex (higher FA with lower χ values) were also observed. Region-wise comparisons between postmortem and in vivo metrics in the left hemispheric cortical regions demonstrated moderate correspondence for FA and χ values (Pearson's r = 0.52 [p = 0.02] and 0.53 [p = 0.01], respectively), despite existing biological and technical variations. Together, these findings provide some initial insight into how quantitative diffusion and susceptibility MRI contrast patterns may translate from high-fidelity postmortem imaging to in vivo acquisitions. Combined submillimeter postmortem and in vivo diffusion and susceptibility MRI in the present study can provide a comprehensive anatomical reference for cortical microstructure mapping and support future translations between postmortem and in vivo neuroimaging studies.

Indexed as

atlas-based analysisdiffusionfractional anisotropyhuman brainin vivomagnetic resonance imagingneuroimagingpostmortemquantitative susceptibility mapping

Identifiers

PMID42427881
PMCPMC13345526

What Socratic 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 Socratic graph.