Nadim Farhat, Jinghang Li, Jacob Berardinelli, Mark Stauffer, Andrea Sajewski, Salem Alkhateeb, Noah Schweitzer, Hecheng Jin, Sossena Wood, Milos D. Ikonomovic, Jr-Jiun Liou, Howard J. Aizenstein, Joseph M. Mettenburg, Tales Santini, Minjie Wu, Julia K. Kofler, Tamer S. Ibrahim
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We aim to develop and validate a comprehensive workflow enabling precise MRI-guided histological sampling of white matter lesions to bridge neuroimaging and neuropathology.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We 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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The 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.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Our 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.</p>\n </section>\n </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"35 5","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jon.70094","citationCount":"0","resultStr":"{\"title\":\"Bridging Neuroimaging and Neuropathology: A Comprehensive Workflow for Targeted Sampling of White Matter Lesions\",\"authors\":\"Nadim Farhat, Jinghang Li, Jacob Berardinelli, Mark Stauffer, Andrea Sajewski, Salem Alkhateeb, Noah Schweitzer, Hecheng Jin, Sossena Wood, Milos D. Ikonomovic, Jr-Jiun Liou, Howard J. Aizenstein, Joseph M. Mettenburg, Tales Santini, Minjie Wu, Julia K. Kofler, Tamer S. Ibrahim\",\"doi\":\"10.1111/jon.70094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background and Purpose</h3>\\n \\n <p>White 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Our cost-effective, scalable workflow reliably linked neuroimaging findings with histological analysis, enhancing the understanding of white matter lesion pathology. 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Bridging Neuroimaging and Neuropathology: A Comprehensive Workflow for Targeted Sampling of White Matter Lesions
Background and Purpose
White 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.
Methods
We 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.
Results
The 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.
Conclusions
Our 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.
期刊介绍：
Start reading the Journal of Neuroimaging to learn the latest neurological imaging techniques. The peer-reviewed research is written in a practical clinical context, giving you the information you need on:
MRI
CT
Carotid Ultrasound and TCD
SPECT
PET
Endovascular Surgical Neuroradiology
Functional MRI
Xenon CT
and other new and upcoming neuroscientific modalities.The Journal of Neuroimaging addresses the full spectrum of human nervous system disease, including stroke, neoplasia, degenerating and demyelinating disease, epilepsy, tumors, lesions, infectious disease, cerebral vascular arterial diseases, toxic-metabolic disease, psychoses, dementias, heredo-familial disease, and trauma.Offering original research, review articles, case reports, neuroimaging CPCs, and evaluations of instruments and technology relevant to the nervous system, the Journal of Neuroimaging focuses on useful clinical developments and applications, tested techniques and interpretations, patient care, diagnostics, and therapeutics. Start reading today!
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