Evidence map›Paper›PMID 40437594›Full record

ArticleActa neuropathologica communications2025

Operationalizing postmortem pathology-MRI association studies in Alzheimer's disease and related disorders with MRI-guided histology sampling.

Chinmayee Athalye, Alejandra Bahena, Pulkit Khandelwal, Sheina Emrani, Winifred Trotman, Lisa M Levorse, Zahra Khodakarami, Daniel T Ohm, Eric Teunissen-Bermeo, Noah Capp and 13 more

Abstract read
In one paragraph

Article in Acta neuropathologica communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Digital neuropathology of neurodegenerative disorders: Foundations, research advances, and future directions.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
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

23 authors.

Chinmayee AthalyeDepartment of Bioengineering, University of Pennsylvania, Philadelphia, USA. cathalye@seas.upenn.edu.
Alejandra BahenaDepartment of Neurology, University of Pennsylvania, Philadelphia, USA.
Pulkit KhandelwalDepartment of Bioengineering, University of Pennsylvania, Philadelphia, USA.
Sheina EmraniDepartment of Neurology, University of Pennsylvania, Philadelphia, USA.
Winifred TrotmanDepartment of Neurology, University of Pennsylvania, Philadelphia, USA.
Lisa M LevorseDepartment of Radiology, University of Pennsylvania, Philadelphia, USA.
Zahra KhodakaramiDepartment of Bioengineering, University of Pennsylvania, Philadelphia, USA.
Daniel T OhmDepartment of Neurology, University of Pennsylvania, Philadelphia, USA.
Eric Teunissen-BermeoDepartment of Neurology, University of Pennsylvania, Philadelphia, USA.
Noah CappDepartment of Neurology, University of Pennsylvania, Philadelphia, USA.
Shokufeh SadaghianiDepartment of Neurology, University of Pennsylvania, Philadelphia, USA.
Sanaz ArezoumandanDepartment of Neurology, University of Pennsylvania, Philadelphia, USA.
Sydney A LimDepartment of Radiology, University of Pennsylvania, Philadelphia, USA.
Karthik PrabhakaranDepartment of Neurology, University of Pennsylvania, Philadelphia, USA.
Ranjit IttyerahDepartment of Radiology, University of Pennsylvania, Philadelphia, USA.
John L RobinsonDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, USA.
Theresa SchuckDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, USA.
Edward B LeeDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, USA.
M Dylan TisdallDepartment of Radiology, University of Pennsylvania, Philadelphia, USA.
Sandhitsu R DasDepartment of Neurology, University of Pennsylvania, Philadelphia, USA.
David A WolkDepartment of Neurology, University of Pennsylvania, Philadelphia, USA.
David J IrwinDepartment of Neurology, University of Pennsylvania, Philadelphia, USA.
Paul A YushkevichDepartment of Radiology, University of Pennsylvania, Philadelphia, USA.

Funding

Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Corey T McMillan · 2021 to 2026
$24.8M
Understanding Environmental Contributions to Heterogeneity in bvFTD.P01AG066597 · NIA · UNIVERSITY OF PENNSYLVANIA · PI David John Irwin, Corey T McMillan · 2020 to 2026
$18.8M
Project IV: In Vivo Dissection of Genetic Modifiers on Different Stages of SynucleinopathyP01AG084497 · NIA · UNIVERSITY OF PENNSYLVANIA · PI ALICE S CHEN-PLOTKIN · 2024 to 2026
$15.2M
Improving the sensitivity and specificity of MRI-based biomarkers in Alzheimer's diseaseRF1AG069474 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WOLK, DAVID A, YUSHKEVICH, PAUL A. · 2021 to 2021
$2.1M
Ex Vivo Imaging of the Aging Brain to Discover Morphology/Pathology AssociationsRF1AG056014 · NIA · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2023 to 2023
$2.1M
NIA NIH HHS P01 AG066597NIA NIH HHS P01 AG084497NIA NIH HHS P30 AG072979NIA NIH HHS RF1 AG056014NIA NIH HHS RF1 AG069474NIH HHS P30-AG072979NIH HHS RF1-AG056014
6 · The paper itself

Abstract

Postmortem neuropathological examination, while the gold standard for diagnosing neurodegenerative diseases, often relies on limited regional sampling that may miss critical areas affected by Alzheimer's disease and related disorders. Ultra-high resolution postmortem MRI can help identify regions that fall outside the diagnostic sampling criteria for additional histopathologic evaluation. However, there are no standardized guidelines for integrating histology and MRI in a traditional brain bank. We developed a comprehensive protocol for whole hemisphere postmortem 7T MRI-guided histopathological sampling with whole-slide digital imaging and histopathological analysis, providing a reliable pipeline for high-volume brain banking in heterogeneous brain tissue. Our method uses patient-specific 3D printed molds built from postmortem MRI, allowing standardized tissue processing with a permanent spatial reference frame. To facilitate pathology-MRI association studies, we created a semi-automated MRI to histology registration pipeline and developed a quantitative pathology scoring system using weakly supervised deep learning. We validated this protocol on a cohort of 29 brains with diagnosis on the AD spectrum that revealed correlations between cortical thickness and phosphorylated tau accumulation. This pipeline has broad applicability across neuropathological research and brain banking, facilitating large-scale studies that integrate histology with neuroimaging. The innovations presented here provide a scalable and reproducible approach to studying postmortem brain pathology, with implications for advancing diagnostic and therapeutic strategies for Alzheimer's disease and related disorders.

Indexed as

Alzheimer DiseaseBrainMagnetic Resonance ImagingAgedAged, 80 and overAutopsyFemaleHumansMaleAlzheimer’s diseaseHistologyMRI-histology registrationPostmortem imagingQuantitative pathology

Identifiers

PMID40437594
PMCPMC12121285

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.