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Abstract
The aging brain is characterized by the simultaneous presence of multiple pathologies, and the prevalence of cerebral multi-morbidity increases with age. To understand the impact of each subtype of pathology and the combined effects of cerebral multi-morbidity on clinical signs and symptoms, large clinico-pathological correlative studies have been performed. However, such studies are often based on semi-quantitative assessment of neuropathological hallmark lesions. Here, we discuss some of the new methods for high-throughput quantitative neuropathological assessment. These methods combine increased quantitative rigor with the added technical capacity of computers and networked analyses. There are abundant new opportunities - with specific techniques that include slide scanners, automated microscopes, and tissue microarrays - and also potential pitfalls. We conclude that quantitative and digital neuropathologic approaches will be key resources to further elucidate cerebral multi-morbidity in the aged brain and also hold the potential for changing routine neuropathologic diagnoses.
Document Type
Article
Publication Date
11-28-2014
Digital Object Identifier (DOI)
http://dx.doi.org/10.1186/s13195-014-0085-y
Repository Citation
Attems, Johannes; Neltner, Janna H.; and Nelson, Peter T., "Quantitative Neuropathological Assessment to Investigate Cerebral Multi-Morbidity" (2014). Pathology and Laboratory Medicine Faculty Publications. 11.
https://uknowledge.uky.edu/pathology_facpub/11
Notes/Citation Information
Published in Alzheimer's Research & Therapy, v. 6, article 85, p. 1-8.
© Attems et al.; licensee BioMed Central Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.