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Plaques in Brain May Be Localized in Alzheimer’s Disease

Better Biomarker for Alzheimer’s DiseaseResearchers have long suspected that the buildup of plaques made of clumps of a protein called amyloid-beta leads to cognitive decline and Alzheimer’s disease.

Now, a new study suggests it may not be the amount of plaque buildup, but the location in the brain where the clumps of abnormal proteins in the brain are being developed.

Researchers believe tracing the sites of plaque buildup can be used to predict the overall risk of Alzheimer’s disease.

Investigators from Penn Medicine’s Department of Radiology discovered amyloid plaque that starts to accumulate relatively early in the temporal lobe, compared to other areas and in particular to the frontal lobe, was associated with cognitively declining participants.

The study is published in the journal Neurobiology of Aging.

“Knowing that certain brain abnormality patterns are associated with cognitive performance could have pivotal importance for the early detection and management of Alzheimer’s,” said senior author Christos Davatzikos, Ph.D.

Discerning the probability of Alzheimer’s disease, a condition which currently affects 5.4 million Americans, is a high priority for health care professionals and health policy experts as early intervention has been found to effective in slowing the insidious disease. The situation is urgent: The population above 65 is expected to increase by approximately 74 percent by 2020.

Current assessment methods for memory decline and Alzheimer’s includes a variety of tools, such as physical and fluid tests and neuroimaging of total amyloid plaque in the brain.

Past studies have linked higher amounts of the plaque in dementia-free people with greater risk for developing the disorder. However, it’s more recently been shown that nearly one-third of people with plaque on their brains never showed signs of cognitive decline, raising questions about its specific role in the disease.

Now, Davatzikos and his Penn colleagues, in collaboration with a team led by Susan M. Resnick, Ph.D., at the National Institute on Aging (NIA), used brain scans from the Baltimore Longitudinal Study of Aging’s Imaging Study and discovered a stronger association between memory decline and spatial patterns of amyloid plaque progression than the total amyloid burden.

“It appears to be more about the spatial pattern of this plaque progression, and not so much about the total amount found in brains. We saw a difference in the spatial distribution of plaques among cognitive declining and stable patients whose cognitive function had been measured over a 12-year period. They had similar amounts of amyloid plaque, just in different spots,” Davatzikos said.

“This is important because it potentially answers questions about the variability seen in clinical research among patients presenting plaque. It accumulates in different spatial patterns for different patients, and it’s that pattern growth that may determine whether your memory declines.”

The team, including first author Rachel A. Yotter, Ph.D., a postdoctoral researcher in the Section for Biomedical Image Analysis, retrospectively analyzed the PET PiB scans of 64 patients from the NIA’s Baltimore Longitudinal Study of Aging whose average age was 76 years old.

For the study, researchers created a unique picture of patients’ brains by combining and analyzing PET images measuring the density and volume of amyloid plaque and their spatial distribution within the brain. The radiotracer PiB allowed investigators to see amyloid temporal changes in deposition.

Those images were then compared to California Verbal Learning Test (CLVT) scores, among other tests, from the participants to determine the longitudinal cognitive decline. The group was then broken up into two subgroups: the most stable and the most declining individuals (26 participants).

Despite lack of significant difference in the total amount of amyloid in the brain, the spatial patterns between the two groups (stable and declining) were different, with the former showing relatively early accumulation in the frontal lobes and the latter in the temporal lobes.

A particular area of the brain may be affected early or later depending on the amyloid trajectory, according to the authors, which in turn would affect cognitive impairment. Areas affected early with the plaque include the lateral temporal and parietal regions, with sparing of the occipital lobe and motor cortices until later in disease progression.

“This finding has broad implications for our understanding of the relationship between cognitive decline and resistance and amyloid plaque location, as well as the use of amyloid imaging as a biomarker in research and the clinic,” said Davatzikos.

“The next step is to investigate more individuals with mild cognitive impairment, and to further investigate the follow-up scans of these individuals via the BLSA study, which might shed further light on its relevance for early detection of Alzheimer’s.”

Source: University of Pennsylvania School of Medicine

Word collage of Alzheimer’s Disease photo by shutterstock.

Plaques in Brain May Be Localized in Alzheimer’s Disease

Rick Nauert PhD

Rick Nauert, PhDDr. Rick Nauert has over 25 years experience in clinical, administrative and academic healthcare. He is currently an associate professor for Rocky Mountain University of Health Professionals doctoral program in health promotion and wellness. Dr. Nauert began his career as a clinical physical therapist and served as a regional manager for a publicly traded multidisciplinary rehabilitation agency for 12 years. He has masters degrees in health-fitness management and healthcare administration and a doctoral degree from The University of Texas at Austin focused on health care informatics, health administration, health education and health policy. His research efforts included the area of telehealth with a specialty in disease management.

APA Reference
Nauert PhD, R. (2018). Plaques in Brain May Be Localized in Alzheimer’s Disease. Psych Central. Retrieved on December 3, 2020, from
Scientifically Reviewed
Last updated: 8 Aug 2018 (Originally: 16 Jul 2013)
Last reviewed: By a member of our scientific advisory board on 8 Aug 2018
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