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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Linking Inter-Individual Variability in Functional Brain Connectivity to Cognitive Ability in Elderly Individuals
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, November 2017
|
| DOI | 10.3389/fnagi.2017.00385 |
| Pubmed ID | |
| Authors |
Rui Li, Shufei Yin, Xinyi Zhu, Weicong Ren, Jing Yu, Pengyun Wang, Zhiwei Zheng, Ya-Nan Niu, Xin Huang, Juan Li |
| Abstract |
Increasing evidence suggests that functional brain connectivity is an important determinant of cognitive aging. However, the fundamental concept of inter-individual variations in functional connectivity in older individuals is not yet completely understood. It is essential to evaluate the extent to which inter-individual variability in connectivity impacts cognitive performance at an older age. In the current study, we aimed to characterize individual variability of functional connectivity in the elderly and to examine its significance to individual cognition. We mapped inter-individual variability of functional connectivity by analyzing whole-brain functional connectivity magnetic resonance imaging data obtained from a large sample of cognitively normal older adults. Our results demonstrated a gradual increase in variability in primary regions of the visual, sensorimotor, and auditory networks to specific subcortical structures, particularly the hippocampal formation, and the prefrontal and parietal cortices, which largely constitute the default mode and fronto-parietal networks, to the cerebellum. Further, the inter-individual variability of the functional connectivity correlated significantly with the degree of cognitive relevance. Regions with greater connectivity variability demonstrated more connections that correlated with cognitive performance. These results also underscored the crucial function of the long-range and inter-network connections in individual cognition. Thus, individual connectivity-cognition variability mapping findings may provide important information for future research on cognitive aging and neurocognitive diseases. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| United Kingdom | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 19% |
| Researcher | 13 | 19% |
| Student > Master | 9 | 13% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 18 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 14 | 21% |
| Psychology | 12 | 18% |
| Engineering | 3 | 4% |
| Physics and Astronomy | 3 | 4% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 29 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 December 2017.
All research outputs
#14,369,287
of 23,009,818 outputs
Outputs from Frontiers in Aging Neuroscience
#3,253
of 4,843 outputs
Outputs of similar age
#235,977
of 437,742 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#67
of 99 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,843 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 30th percentile – i.e., 30% 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 437,742 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.