Neuroscience 2001 Abstract
| Presentation Number: | 463.1 |
|---|---|
| Abstract Title: | AUTOMATED METHOD USING ITERATIVE PRINCIPAL COMPONENT ANALYSIS FOR DETECTING BRAIN ATROPHY RATES FROM SEQUENTIAL MRI IN PERSONS WITH ALZHEIMER'S DISEASE. |
| Authors: |
Chen, K.*1,3
; Reiman, E. M.3
; Alexander, G. E.1
; Crum, W. R.2
; Fox, N. C.2
; Rossor, M. N.2
1Ariz State Univ, Tempe, AZ 2National Hosp Neurology and Neurosurgery, London, United Kingdom 3Samaritan PET Ctr, Good Samaritan Med Ctr, Phoenix, AZ |
| Primary Theme and Topics |
Neurological and Psychiatric Conditions - Neurodegenerative Disorders -- Alzheimers Disease: Other |
| Session: |
463. Neurodegenerative disorders: Alzheimer's disease--pathology and imaging Slide |
| Presentation Time: | Tuesday, November 13, 2001 8:00 AM-8:15 AM |
| Location: | Room 30C |
| Keywords: | ALZHEIMER DISEASE, PRINCIPAL COMPONENT ANALYSIS, COGNITION, MAGNETIC RESONANCE IMAGING |
We developed a fully automated method using iterative principal component analysis (PCA) to compute whole brain atrophy rates from sequential magnetic resonance images (MRI) of an individual subject. Baseline and follow-up MRI voxel intensities are treated as paired variables and brain locations with significant intensity differences between the two scans are identified using their distance from the PCA major axis. We compared the PCA method to the established but partly manual digital subtraction (DS) method in characterizing whole brain atrophy rates in patients with Alzheimer's dementia (AD) and normal controls. Baseline and follow-up MRI from 8 AD patients (54±8 years of age, Mini-Mental State Exame (MMSE) scores of 20±7.15) and 8 normal controls (54±8 years of age, MMSE scores of 29.5 ±0.8) were co-registered using SPM99 and analyzed, blind to group, using both the PCA and DS methods. The AD patients had significantly higher whole brain atrophy rates (percent change/year) than the normal controls using both the PCA method (0.93±0.22 vs 0.20±0.12, p=5.44e-7) and the DS method (2.24±0.87 vs 0.08±.26 p=5.09e-6). Atrophy rates detected by the PCA and DS methods were closely correlated (r=0.91, p=2.82e-6). In the AD patients, lower baseline MMSE scores were associated with higher atrophy rates using both methods (PCA: p=0.04; DS: p=0.002). The PCA method can be used to automatically characterize whole brain atrophy rates from sequential MRI in AD patients.
Supported by NIH MH57899-01A1, HCR ManorCare, Ariz Alzheimer Res Ctr
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2001 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2001. Online.
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