Differentiation of Amyloid Plaques Between Alzheimer's Disease and Non-Alzheimer's Disease Individuals Based on Gray-Level Co-occurrence Matrix Texture Analysis
| Autor: | Ivan Zaletel, Richard S. Nowakowski, Milos Bajcetic, Katarina Milutinović |
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| Rok vydání: | 2022 |
| Předmět: |
0301 basic medicine
Pathology medicine.medical_specialty Aging Traumatic brain injury Hippocampus Plaque Amyloid Disease Texture (geology) 03 medical and health sciences 0302 clinical medicine Alzheimer Disease Medicine Dementia Humans Instrumentation Neocortex Amyloid beta-Peptides business.industry Brain medicine.disease Gray level Co-occurrence matrix 030104 developmental biology medicine.anatomical_structure business 030217 neurology & neurosurgery |
| Zdroj: | Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada. 27(5) |
| ISSN: | 1435-8115 |
| Popis: | Amyloid plaques, one of the main hallmarks of Alzheimer's disease (AD), are classified into diffuse (associated with cognitive impairment) and dense-core types (a common finding in brains of people without Alzheimer's disease (non-AD) and without impaired cognitive function) based on their morphology. We tried to determine the usability of gray-level co-occurrence matrix (GLCM) texture parameters of homogeneity and heterogeneity for the differentiation of amyloid plaque images obtained from AD and non-AD individuals. Images of amyloid-β (Aβ) immunostained brain tissue samples were obtained from the Aging, Dementia and Traumatic Brain Injury Project. A total of 1,039 plaques were isolated from different brain regions of 69 AD and non-AD individuals and used for further GLCM analysis. Images of Aβ stained plaques show higher values of heterogeneity parameters and lower values of homogeneity parameters in AD patients, and vice versa in non-AD patients. Additionally, GLCM analysis shows differences in Aβ plaque texture between different brain regions in non-AD patients and correlates with variables that characterize patient's dementia status. The present study shows that GLCM texture analysis is an efficient method to discriminate between different types of amyloid plaques based on their morphology and thus can prove as a valuable tool in the neuropathological investigation of dementia. |
| Databáze: | OpenAIRE |
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