Related Experiment Video
Updated: Jan 23, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Neuroimaging correlates with neuropathologic schemes in neurodegenerative disease
Val J Lowe1, Emily S Lundt2, Sabrina M Albertson2
1Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Introduction:
Neuroimaging biomarkers are important for early diagnosis of Alzheimer's disease, and comparing multimodality neuroimaging to autopsy data is essential.
Methods:
We compared the pathologic findings from a prospective autopsy cohort (n = 100) to Pittsburgh compound B PET (PiB-PET), 18F-fluorodeoxyglucose PET (FDG-PET), and MRI. Correlations between neuroimaging biomarkers and neuropathologic schemes were assessed.
Results:
PiB-PET showed strong correlations with Thal amyloid phase and Consortium to Establish a Registry for Alzheimer's Disease score and categorized 44% of Thal phase 1 participants as positive. FDG-PET and MRI correlated modestly with Braak tangle stage in Alzheimer's type pathology. A subset of participants with "none" or "sparse" neuritic plaque scores had elevated PiB-PET signal due to diffuse amyloid plaque. Participants with findings characterized as "suspected non-Alzheimer's pathophysiology" represented 15% of the group.
Discussion:
PiB-PET is associated with Alzheimer's disease, neuritic plaques, and diffuse plaques. FDG-PET and MRI have modest correlation with neuropathologic schemes. Participants with findings characterized as suspected non-Alzheimer's pathophysiology most commonly had primary age-related tauopathy.
Related Concept Videos
The Z-Scheme of Electron Transport in Photosynthesis
Correlations
Correlation and Causation
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Correlation and Regression
Coefficient of Correlation
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...

