| Title |
A new data analysis approach for measuring longitudinal changes of metabolism in cognitively normal elderly adults
|
|---|---|
| Published in |
Clinical Interventions in Aging, December 2017
|
| DOI | 10.2147/cia.s150859 |
| Pubmed ID | |
| Authors |
Sepideh Shokouhi, William R Riddle, Hakmook Kang |
| Abstract |
Previously, we discussed several critical barriers in including [18F] fluorodeoxyglucose positron emission tomography ([18F]FDG-PET) imaging of preclinical Alzheimer's disease (AD) subjects. These factors included the reference region selection and intensity normalization of PET images and the within- and across-subject variability of affected brain regions. In this study, we utilized a novel FDG-PET analysis, the regional FDG time correlation coefficient, rFTC, that can address and resolve these barriers and provide a more sensitive way of monitoring longitudinal changes in metabolism of cognitively normal elderly adults. The rFTC analysis captures the within-subject similarities between baseline and follow-up regional radiotracer distributions. The rFTC trajectories of 27 cognitively normal subjects were calculated to identify 1) trajectories of rFTC decline in individual cognitively normal subjects; 2) how these trajectories correlate with the subjects' cognitive test scores, baseline cerebrospinal fluid (CSF) levels of amyloid beta (Aβ), and apolipoprotein E4 (APOE-E4) status; and 3) whether similar trajectories are observed in regional/composite standardized uptake value ratio (SUVR) values. While some of the subjects maintained a stable rFTC trajectory, other subjects had declining and fluctuating rFTC values. We found that the rFTC decline was significantly higher in APOE-E4 carriers compared to noncarriers (p=0.04). We also found a marginally significant association between rFTC decline and cognitive decline measured by Alzheimer's Disease Assessment Scale - cognitive subscale (ADAS_cog) decline (0.05). In comparison to the rFTC trajectories, the composite region of interest (ROI) SUVR trajectories did not change in any of the subjects. No individual/composite ROI SUVR changes contributed significantly to explaining changes in ADAS_cog, conversion to mild cognitive impairment (MCI), or any general changes in clinical symptoms. The rFTC decline may serve as a new biomarker of early metabolic changes before the MCI stage. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 16% |
| Student > Bachelor | 4 | 13% |
| Student > Master | 4 | 13% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 8 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 16% |
| Physics and Astronomy | 3 | 10% |
| Neuroscience | 3 | 10% |
| Unspecified | 2 | 6% |
| Decision Sciences | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 10 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 December 2017.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Clinical Interventions in Aging
#1,255
of 1,968 outputs
Outputs of similar age
#279,317
of 444,941 outputs
Outputs of similar age from Clinical Interventions in Aging
#34
of 51 outputs
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