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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Expertise-related functional brain network efficiency in healthy older adults
|
|---|---|
| Published in |
BMC Neuroscience, January 2017
|
| DOI | 10.1186/s12868-016-0324-1 |
| Pubmed ID | |
| Authors |
Julia C. Binder, Ladina Bezzola, Aurea I. S. Haueter, Carina Klein, Jürg Kühnis, Hansruedi Baetschmann, Lutz Jäncke |
| Abstract |
In view of age-related brain changes, identifying factors that are associated with healthy aging are of great interest. In the present study, we compared the functional brain network characteristics of three groups of healthy older participants aged 61-75 years who had a different cognitive and motor training history (multi-domain group: participants who had participated in a multi-domain training; visuomotor group: participants who had participated in a visuomotor training; control group: participants with no specific training history). The study's basic idea was to examine whether these different training histories are associated with differences in behavioral performance as well as with task-related functional brain network characteristics. Based on a high-density electroencephalographic measurement one year after training, we calculated graph-theoretical measures representing the efficiency of functional brain networks. Behaviorally, the multi-domain group performed significantly better than the visuomotor and the control groups on a multi-domain task including an inhibition domain, a visuomotor domain, and a spatial navigation domain. In terms of the functional brain network features, the multi-domain group showed significantly higher functional connectivity in a network encompassing visual, motor, executive, and memory-associated brain areas in the theta frequency band compared to the visuomotor group. These brain areas corresponded to the multi-domain task demands. Furthermore, mean connectivity of this network correlated positively with performance across both the multi-domain and the visuomotor group. In addition, the multi-domain group showed significantly enhanced processing efficiency reflected by a higher mean weighted node degree (strength) of the network as compared to the visuomotor group. Taken together, our study shows expertise-dependent differences in task-related functional brain networks. These network differences were evident even a year after the acquisition of the different expertise levels. Hence, the current findings can foster understanding of how expertise is positively associated with brain functioning during aging. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 1% |
| Unknown | 81 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 15% |
| Student > Ph. D. Student | 11 | 13% |
| Student > Doctoral Student | 10 | 12% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 6 | 7% |
| Other | 12 | 15% |
| Unknown | 23 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 18 | 22% |
| Psychology | 14 | 17% |
| Medicine and Dentistry | 4 | 5% |
| Nursing and Health Professions | 3 | 4% |
| Sports and Recreations | 3 | 4% |
| Other | 11 | 13% |
| Unknown | 29 | 35% |
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 19 February 2017.
All research outputs
#14,304,007
of 22,925,760 outputs
Outputs from BMC Neuroscience
#608
of 1,248 outputs
Outputs of similar age
#229,790
of 421,214 outputs
Outputs of similar age from BMC Neuroscience
#11
of 36 outputs
Altmetric has tracked 22,925,760 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 1,248 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 47th percentile – i.e., 47% 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 421,214 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 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.