| Title |
Amyloid involvement in subcortical regions predicts cognitive decline
|
|---|---|
| Published in |
European Journal of Nuclear Medicine and Molecular Imaging, July 2018
|
| DOI | 10.1007/s00259-018-4081-5 |
| Pubmed ID | |
| Authors |
Soo Hyun Cho, Jeong-Hyeon Shin, Hyemin Jang, Seongbeom Park, Hee Jin Kim, Si Eun Kim, Seung Joo Kim, Yeshin Kim, Jin San Lee, Duk L. Na, Samuel N. Lockhart, Gil D. Rabinovici, Joon-Kyung Seong, Sang Won Seo, For the Alzheimer’s Disease Neuroimaging Initiative |
| Abstract |
We estimated whether amyloid involvement in subcortical regions may predict cognitive impairment, and established an amyloid staging scheme based on degree of subcortical amyloid involvement. Data from 240 cognitively normal older individuals, 393 participants with mild cognitive impairment, and 126 participants with Alzheimer disease were acquired at Alzheimer's Disease Neuroimaging Initiative sites. To assess subcortical involvement, we analyzed amyloid deposition in amygdala, putamen, and caudate nucleus. We staged participants into a 3-stage model based on cortical and subcortical amyloid involvement: 382 with no cortical or subcortical involvement as stage 0, 165 with cortical but no subcortical involvement as stage 1, and 203 with both cortical and subcortical involvement as stage 2. Amyloid accumulation was first observed in cortical regions and spread down to the putamen, caudate nucleus, and amygdala. In longitudinal analysis, changes in MMSE, ADAS-cog 13, FDG PET SUVR, and hippocampal volumes were steepest in stage 2 followed by stage 1 then stage 0 (p value <0.001). Stage 2 showed steeper changes in MMSE score (β [SE] = -0.02 [0.004], p < 0.001), ADAS-cog 13 (0.05 [0.01], p < 0.001), FDG PET SUVR (-0.0008 [0.0003], p = 0.004), and hippocampal volumes (-4.46 [0.65], p < 0.001) compared to stage 1. We demonstrated a downward spreading pattern of amyloid, suggesting that amyloid accumulates first in neocortex followed by subcortical structures. Furthermore, our new finding suggested that an amyloid staging scheme based on subcortical involvement might reveal how differential regional accumulation of amyloid affects cognitive decline through functional and structural changes of the brain. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Netherlands | 1 | 14% |
| Brazil | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 22% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Doctoral Student | 4 | 9% |
| Student > Master | 3 | 7% |
| Other | 2 | 4% |
| Other | 9 | 20% |
| Unknown | 12 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 24% |
| Neuroscience | 8 | 17% |
| Psychology | 4 | 9% |
| Engineering | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 15 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 11 March 2019.
All research outputs
#2,716,752
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#215
of 3,083 outputs
Outputs of similar age
#55,204
of 329,001 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#3
of 40 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,001 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.