Biomarkers
- Pulkit Khandelwal 1, Michael Tran Duong 1, Lisa M Levorse 1, Sydney A Lim 1, Amanda E Denning 1, Nathaniel Gauthier 1, Ved Shenoy 1, Winifred Trotman 1, Ranjit Ittyerah 1, Alejandra Bahena 1, Theresa Schuck 2, Marianna Gabrielyan 1, Karthik Prabhakaran 1, Daniel T Ohm 1,3, Gabor Mizsei 1, John L Robinson 1, Laura E M Wisse 4, John A Detre 1, Eddie B Lee 5, David J Irwin 1,3, Corey T McMillan 1,6, M Dylan Tisdall 1, Sandhitsu R Das 1,7, David A Wolk 1,8,9, Paul A Yushkevich 1
- 1University of Pennsylvania, Philadelphia, PA, USA.
- 2Department of Pathology and Laboratory Medicine, Institute on Aging and Center for Neurodegenerative Disease Research, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
- 3Digital Neuropathology Laboratory, University of Pennsylvania, Philadelphia, PA, USA.
- 4Lund University, Lund, Sweden.
- 5Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- 6Penn FTD Center, University of Pennsylvania, Philadelphia, PA, USA.
- 7Penn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, PA, USA.
- 8Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA.
- 9Penn Alzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.
- 0University of Pennsylvania, Philadelphia, PA, USA.
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View abstract on PubMed
Summary
This summary is machine-generated.We developed purple-mri, a novel package for analyzing postmortem brain MRI, revealing stronger associations between brain thickness and Alzheimer's disease pathology than antemortem scans. This tool facilitates large-scale postmortem studies and biomarker development.
Area Of Science
- Neuroimaging
- Neuropathology
- Medical Image Analysis
Background
- Postmortem MRI offers ultra-high resolution for detailed brain structure analysis, surpassing in vivo MRI capabilities.
- A novel package, purple-mri, is introduced for tissue segmentation, anatomical parcellation, and spatial normalization of postmortem MRI data.
- A framework for point-wise surface-based group studies is provided, linking morphometry and histopathology in a common coordinate system for postmortem MRI.
Purpose Of The Study
- To present the purple-mri package for comprehensive postmortem MRI analysis.
- To enable accurate parcellation and registration of postmortem cerebral hemispheres.
- To demonstrate the utility of purple-mri in correlating brain morphometry with neuropathological markers.
Main Methods
- A joint voxel- and surface-based pipeline combining deep learning and classical techniques was developed for postmortem brain hemisphere analysis.
- Deformable image registration was performed between antemortem and postmortem MRI using GM/WM segmentations.
- Point-wise analysis correlated cortical thickness with tau and neuronal loss distribution in 49 matched specimens and an additional 26 postmortem scans.
Main Results
- The purple-mri method accurately parcellates postmortem brain hemispheres, including regions with low contrast or atrophy.
- The registration pipeline established a one-to-one correspondence between antemortem and postmortem MRI modalities.
- Postmortem MRI revealed significantly stronger associations between cortical thickness and tau/neuronal loss across large brain regions compared to antemortem MRI.
Conclusions
- The purple-mri package enables large-scale postmortem image analysis.
- Stronger associations observed in postmortem MRI suggest its potential for developing more precise in vivo biomarkers.
- Mapping postmortem findings to antemortem MRI in a common coordinate system can inform future diagnostic and therapeutic strategies for neurodegenerative diseases.
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