Evidence map›Paper›PMID 41126483›Full record

ReviewJournal of neuroimaging : official journal of the American Society of Neuroimaging

Bridging Neuroimaging and Neuropathology: A Comprehensive Workflow for Targeted Sampling of White Matter Lesions.

Nadim Farhat, Jinghang Li, Jacob Berardinelli, Mark Stauffer, Andrea Sajewski, Salem Alkhateeb, Noah Schweitzer, Hecheng Jin, Sossena Wood, Milos D Ikonomovic and 7 more

Abstract readReview
In one paragraph

Review in Journal of neuroimaging : official journal of the American Society of Neuroimaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Bridging Neuroimaging and Neuropathology: A Comprehensive Workflow for Targeted Sampling of White Matter Lesions.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Nadim FarhatDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-6443-9165
Jinghang LiDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-5340-8291
Jacob BerardinelliDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0009-0007-3428-4821
Mark StaufferDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Andrea SajewskiDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-5978-268X
Salem AlkhateebDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Noah SchweitzerDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-2959-7851
Hecheng JinDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-9855-2481
Sossena WoodDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-3079-1096
Milos D IkonomovicDepartment of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Jr-Jiun LiouDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-8800-9557
Howard J AizensteinDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-4897-6582
Joseph M MettenburgDepartment of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-3049-6268
Tales SantiniDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-4533-9190
Minjie WuDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-8978-3851
Julia K KoflerDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-4298-7328
Tamer S IbrahimDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-6738-5855

Funding

Project 3: Biomarkers for DS Clinical TrialsU19AG068054 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTIAN, BRADLEY T · 2020 to 2025
$103.7M
Vascular Moderators of the Impact of Alzheimer's Pathology in the Young-OldP01AG025204 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN, Ann D. Cohen · 2005 to 2026
$56.5M
CARDIOVASCULAR BEHAVIORAL MEDICINE RESEARCH TRAININGT32HL007560 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Peter J Gianaros, REBECCA C THURSTON · 1985 to 2026
$11.3M
Imaging Advancements in Small Vessel and CSF Flow Pathophysiology of Pre-clinical Alzheimer's DiseaseR01AG063525 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, COHEN, ANN D. · 2019 to 2023
$3.7M
High Performance Imaging for Assessment of Small Vessel Disease in Older Adults with DepressionR01MH111265 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, IBRAHIM, TAMER S · 2016 to 2020
$3.6M
Bioengineering in Psychiatry Training ProgramT32MH119168 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, IBRAHIM, TAMER S · 2019 to 2023
$1.1M
BrightFocus Foundation A2025009FDivision of Advanced Cyberinfrastructure OAC-2117681NHLBI NIH HHS T32 HL007560NIA NIH HHS P01 AG025204NIA NIH HHS R01 AG063525NIA NIH HHS U19 AG068054NIMH NIH HHS R01 MH111265NIMH NIH HHS T32 MH119168
6 · The paper itself

Abstract

background and purposeWhite matter lesions are common imaging biomarkers associated with aging and neurodegenerative diseases, yet their underlying pathology remains unclear due to limitations in imaging-based characterization. We aim to develop and validate a comprehensive workflow enabling precise MRI-guided histological sampling of white matter lesions to bridge neuroimaging and neuropathology.

methodsWe established a workflow integrating agar-sucrose brain embedding, ultrahigh field 7 Tesla (7T) MRI acquisition, reusable three-dimensional (3D) printed cutting guides, and semiautomated MRI-blockface alignment. Left hemispheric postmortem brains were stabilized in the embedding medium and scanned using optimized MRI protocols. Coronal sectioning was guided by standardized 3D-printed cutting guides, and knife traces were digitally matched to MRI planes. White matter lesions were segmented on MRI and aligned for histopathological sampling.

resultsThe workflow enabled reproducible brain sectioning, minimized imaging artifacts, and achieved precise spatial alignment between MRI and histology. For demonstration, detailed results from two representative brains were presented in this article. Consistent, high-resolution MRI data facilitated accurate lesion detection and sampling. The use of standardized cutting guides and alignment protocols reduced variability and improved efficiency.

conclusionsOur cost-effective, scalable workflow reliably linked neuroimaging findings with histological analysis, enhancing the understanding of white matter lesion pathology. This framework held significant potential for advancing translational research in aging and neurodegenerative diseases.

Indexed as

BrainMagnetic Resonance ImagingNeuroimagingNeuropathologyWhite MatterHumansReproducibility of ResultsWorkflowMRI‐guided histologyneuroimaging workflowpostmortem brain imagingthree‐dimensional (3D) printingultrahigh field MRIwhite matter lesions

Identifiers

PMID41126483
PMCPMC12547080

What OpenQuestion 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 OpenQuestion graph.