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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gender-specific impact of personal health parameters on individual brain aging in cognitively unimpaired elderly subjects
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, May 2014
|
| DOI | 10.3389/fnagi.2014.00094 |
| Pubmed ID | |
| Authors |
Katja Franke, Michael Ristow, Christian Gaser, The Alzheimer's Disease Neuroimaging Initiative |
| Abstract |
Aging alters brain structure and function. Personal health markers and modifiable lifestyle factors are related to individual brain aging as well as to the risk of developing Alzheimer's disease (AD). This study used a novel magnetic resonance imaging (MRI)-based biomarker to assess the effects of 17 health markers on individual brain aging in cognitively unimpaired elderly subjects. By employing kernel regression methods, the expression of normal brain-aging patterns forms the basis to estimate the brain age of a given new subject. If the estimated age is higher than the chronological age, a positive brain age gap estimation (BrainAGE) score indicates accelerated atrophy and is considered a risk factor for developing AD. Within this cross-sectional, multi-center study 228 cognitively unimpaired elderly subjects (118 males) completed an MRI at 1.5Tesla, physiological and blood parameter assessments. The multivariate regression model combining all measured parameters was capable of explaining 39% of BrainAGE variance in males (p < 0.001) and 32% in females (p < 0.01). Furthermore, markers of the metabolic syndrome as well as markers of liver and kidney functions were profoundly related to BrainAGE scores in males (p < 0.05). In females, markers of liver and kidney functions as well as supply of vitamin B12 were significantly related to BrainAGE (p < 0.05). In conclusion, in cognitively unimpaired elderly subjects several clinical markers of poor health were associated with subtle structural changes in the brain that reflect accelerated aging, whereas protective effects on brain aging were observed for markers of good health. Additionally, the relations between individual brain aging and miscellaneous health markers show gender-specific patterns. The BrainAGE approach may thus serve as a clinically relevant biomarker for the detection of subtly abnormal patterns of brain aging probably preceding cognitive decline and development of AD. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Ireland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 114 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 15% |
| Student > Ph. D. Student | 17 | 15% |
| Researcher | 15 | 13% |
| Student > Bachelor | 10 | 9% |
| Student > Doctoral Student | 9 | 8% |
| Other | 21 | 18% |
| Unknown | 27 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 18% |
| Neuroscience | 14 | 12% |
| Psychology | 9 | 8% |
| Agricultural and Biological Sciences | 8 | 7% |
| Computer Science | 6 | 5% |
| Other | 21 | 18% |
| Unknown | 38 | 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 07 August 2018.
All research outputs
#17,722,094
of 22,757,090 outputs
Outputs from Frontiers in Aging Neuroscience
#3,780
of 4,747 outputs
Outputs of similar age
#155,120
of 226,327 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#42
of 56 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,747 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 226,327 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.