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Attention Score in Context
| Title |
Early Age-Related Functional Connectivity Decline in High-Order Cognitive Networks
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, January 2017
|
| DOI | 10.3389/fnagi.2016.00330 |
| Pubmed ID | |
| Authors |
Tali Siman-Tov, Noam Bosak, Elliot Sprecher, Rotem Paz, Ayelet Eran, Judith Aharon-Peretz, Itamar Kahn |
| Abstract |
As the world ages, it becomes urgent to unravel the mechanisms underlying brain aging and find ways of intervening with them. While for decades cognitive aging has been related to localized brain changes, growing attention is now being paid to alterations in distributed brain networks. Functional connectivity magnetic resonance imaging (fcMRI) has become a particularly useful tool to explore large-scale brain networks; yet, the temporal course of connectivity lifetime changes has not been established. Here, an extensive cross-sectional sample (21-85 years old, N = 887) from a public fcMRI database was used to characterize adult lifespan connectivity dynamics within and between seven brain networks: the default mode, salience, dorsal attention, fronto-parietal control, auditory, visual and motor networks. The entire cohort was divided into young (21-40 years, mean ± SD: 25.5 ± 4.8, n = 543); middle-aged (41-60 years, 50.6 ± 5.4, n = 238); and old (61 years and above, 69.0 ± 6.3, n = 106) subgroups. Correlation matrices as well as a mixed model analysis of covariance indicated that within high-order cognitive networks a considerable connectivity decline is already evident by middle adulthood. In contrast, a motor network shows increased connectivity in middle adulthood and a subsequent decline. Additionally, alterations in inter-network interactions are noticeable primarily in the transition between young and middle adulthood. These results provide evidence that aging-related neural changes start early in adult life. |
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 Kingdom | 1 | 50% |
| Unknown | 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 134 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 26% |
| Researcher | 16 | 12% |
| Student > Master | 14 | 10% |
| Student > Doctoral Student | 10 | 7% |
| Student > Bachelor | 6 | 4% |
| Other | 21 | 16% |
| Unknown | 32 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 41 | 31% |
| Psychology | 24 | 18% |
| Medicine and Dentistry | 6 | 4% |
| Agricultural and Biological Sciences | 5 | 4% |
| Unspecified | 4 | 3% |
| Other | 14 | 10% |
| Unknown | 40 | 30% |
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 January 2017.
All research outputs
#19,108,680
of 24,330,613 outputs
Outputs from Frontiers in Aging Neuroscience
#4,207
of 5,199 outputs
Outputs of similar age
#304,474
of 429,611 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#79
of 94 outputs
Altmetric has tracked 24,330,613 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,199 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one is in the 14th percentile – i.e., 14% 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 429,611 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.