Research Output per year
The use of quantitative methods has become increasingly important in the study of neuropathology and especially in neurodegenerative disease. Disorders such as Alzheimer's disease (AD) and the frontotemporal dementias (FTD) are characterized by the formation of discrete, microscopic, pathological lesions which play an important role in pathological diagnosis. This chapter reviews the advantages and limitations of the different methods of quantifying pathological lesions in histological sections including estimates of density, frequency, coverage, and the use of semi-quantitative scores. The sampling strategies by which these quantitative measures can be obtained from histological sections, including plot or quadrat sampling, transect sampling, and point-quarter sampling, are described. In addition, data analysis methods commonly used to analysis quantitative data in neuropathology, including analysis of variance (ANOVA), polynomial curve fitting, multiple regression, classification trees, and principal components analysis (PCA), are discussed. These methods are illustrated with reference to quantitative studies of a variety of neurodegenerative disorders.
|Title of host publication||Neuropathology|
|Subtitle of host publication||new research|
|Editors||Estevo Almeirao, Thiago Nonrado|
|Number of pages||20|
|ISBN (Print)||978-1-62257-583-1, 1-62257-583-0|
|Publication status||Published - Oct 2012|
|Name||Neuroscience Research Progress; Neurology - Laboratory and Clinical Research Developments|
|Publisher||Nova Science Publishers|
- Alzheimer's disease (AD)
- frontotemporal dementia (FTD)
- neurodegenerative disorders
- quantitative measurements
- sampling methods
The neuropathology of the occipital cortex and its significance in the visual problems of patients with variant Creutzfeldt-Jakob Disease (vCJD)Armstrong, R., Oct 2012, Neuropathology: new research. Almeirao, E. & Honrado, T. (eds.). Nova science, p. 147-168 22 p. (Neuroscience Research Progress; Neurology - Laboratory and Clinical Research Developments).
Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)
Armstrong, R. A. (2012). Quantitative neuropathology: data collection and statistical analysis. In E. Almeirao, & T. Nonrado (Eds.), Neuropathology: new research (pp. 93-112). (Neuroscience Research Progress; Neurology - Laboratory and Clinical Research Developments). Nova science.