↓ Skip to main content

Global Efficiency of Structural Networks Mediates Cognitive Control in Mild Cognitive Impairment

Overview of attention for article published in Frontiers in Aging Neuroscience, December 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
twitter
11 X users
facebook
1 Facebook page

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
108 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Global Efficiency of Structural Networks Mediates Cognitive Control in Mild Cognitive Impairment
Published in
Frontiers in Aging Neuroscience, December 2016
DOI 10.3389/fnagi.2016.00292
Pubmed ID
Authors

Rok Berlot, Claudia Metzler-Baddeley, M. Arfan Ikram, Derek K. Jones, Michael J. O’Sullivan

Abstract

Background: Cognitive control has been linked to both the microstructure of individual tracts and the structure of whole-brain networks, but their relative contributions in health and disease remain unclear. Objective: To determine the contribution of both localized white matter tract damage and disruption of global network architecture to cognitive control, in older age and Mild Cognitive Impairment (MCI). Materials and Methods: Twenty-five patients with MCI and 20 age, sex, and intelligence-matched healthy volunteers were investigated with 3 Tesla structural magnetic resonance imaging (MRI). Cognitive control and episodic memory were evaluated with established tests. Structural network graphs were constructed from diffusion MRI-based whole-brain tractography. Their global measures were calculated using graph theory. Regression models utilized both global network metrics and microstructure of specific connections, known to be critical for each domain, to predict cognitive scores. Results: Global efficiency and the mean clustering coefficient of networks were reduced in MCI. Cognitive control was associated with global network topology. Episodic memory, in contrast, correlated with individual temporal tracts only. Relationships between cognitive control and network topology were attenuated by addition of single tract measures to regression models, consistent with a partial mediation effect. The mediation effect was stronger in MCI than healthy volunteers, explaining 23-36% of the effect of cingulum microstructure on cognitive control performance. Network clustering was a significant mediator in the relationship between tract microstructure and cognitive control in both groups. Conclusion: The status of critical connections and large-scale network topology are both important for maintenance of cognitive control in MCI. Mediation via large-scale networks is more important in patients with MCI than healthy volunteers. This effect is domain-specific, and true for cognitive control but not for episodic memory. Interventions to improve cognitive control will need to address both dysfunction of local circuitry and global network architecture to be maximally effective.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 107 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 18%
Student > Master 18 17%
Researcher 15 14%
Student > Bachelor 10 9%
Student > Doctoral Student 9 8%
Other 11 10%
Unknown 26 24%
Readers by discipline Count As %
Psychology 22 20%
Neuroscience 20 19%
Medicine and Dentistry 10 9%
Engineering 4 4%
Agricultural and Biological Sciences 3 3%
Other 13 12%
Unknown 36 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 30 December 2016.
All research outputs
#2,224,257
of 24,920,664 outputs
Outputs from Frontiers in Aging Neuroscience
#684
of 5,373 outputs
Outputs of similar age
#43,826
of 432,472 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#15
of 88 outputs
Altmetric has tracked 24,920,664 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,373 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 87% 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 432,472 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 89% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.