A method of classifying brain atrophy patterns in Alzheimer's disease patients using MRIs can also detect cognitive decline in Parkinson's disease, according to a new study by researchers from the Perelman School of Medicine at the University of Pennsylvania. Researchers also found that higher baseline Alzheimer's patterns of atrophy predicted long-term cognitive decline in cognitively normal Parkinson's patients.
The study is published online in Brain.
"On the basis of a simple neuroimaging study, we can now predict which patients with Parkinson's disease will experience long-term cognitive decline or develop dementia in the future," said the study's lead author, Daniel Weintraub, MD, associate professor of Geriatric Psychiatry with Penn's Perelman School of Medicine and the Philadelphia Veterans Affairs Medical Center. "Diagnostic tests like this can help us determine which patients would benefit from future clinical trials of medications aiming to stave off or prevent dementia progression in Parkinson's disease."
This research raises the possibility that both Alzheimer's disease and Parkinson's disease pathology contribute to cognitive decline in Parkinson's disease. Researchers are still uncertain whether the neurodegeneration seen in these patients is caused by primary Parkinson's disease pathology, Alzheimer's pathology, a combination of the two, or is a form of compensation.
As biomarkers for Alzheimer's and Parkinson's disease continue to emerge, the researchers suggest at least an overlap in regions undergoing neurodegeneration with cognitive decline, and point to the Spatial Pattern of Abnormalities for Recognition of Alzheimer's disease (SPARE-AD) classification system to detect brain atrophy in Parkinson's disease, to detect patients at imminent risk of cognitive decline before clinically identifiable symptoms emerge.
Around 80 percent of Parkinson's patients become demented over the course of the illness. Some patients experience cognitive impairment relatively soon after the disease strikes, while others won't experience dementia until the very end of their disease. Duration and severity of the disease and advanced age are risk factors for dementia, while nearly 20 percent of patients never have dementia. Over half of Parkinson's patients with dementia have significant signs of Alzheimer's disease-related plaques and neurofribrillary tangles on autopsy, and similar brain regions, such as the hippocampus and medial temporal lobe, have been reported to be affected in both diseases.
The Penn research team applied a pattern classification individual-based score, the SPARE-AD score, to a cross-sectional cohort of 84 Parkinson's patients including patients with dementia, mild cognitive impairment and no dementia. In the cross-sectional analyses, the SPARE-AD score correlated to cognitive impairment across all groups. From this group, 59 Parkinson's patients without dementia were followed for an additional two years. Researchers determined that a higher baseline SPARE-AD score predicted worsening cognitive performance over time, even in those patients with normal cognition at baseline.
In addition to Dr. Weintraub, the research team included Nicole Dietz, John Duda, David Wolk, Jimit Doshi, Sharon Xie, Christos Davatzikos, Christopher Clark, and Andrew Siderowf, representing the Penn Udall Center for Parkinson's Research and the Perelman School of Medicine's departments of Psychiatry, Neurology, Radiology, Biostatistics and Epidemiology. Dr. Weintraub and Dr. Duda are also with Philadelphia Veterans Affairs Medical Center.
The study was funded by grants from the National Institutes of Health's National Institute of Neurological Disorders and Strokes and National Institute of Aging, as well as a grant awarded by Department of Health of the Commonwealth of Pennsylvania from the Tobacco Master Settlement Agreement.
- D. Weintraub, N. Dietz, J. E. Duda, D. A. Wolk, J. Doshi, S. X. Xie, C. Davatzikos, C. M. Clark, A. Siderowf. Alzheimer's disease pattern of brain atrophy predicts cognitive decline in Parkinson's disease. Brain, 2011; DOI: 10.1093/brain/awr277
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