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Cognitive Decline and Reorganization of Functional Connectivity in Healthy Aging: The Pivotal Role of the Salience Network in the Prediction of Age and Cognitive Performances

Overview of attention for article published in Frontiers in Aging Neuroscience, August 2016
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Title
Cognitive Decline and Reorganization of Functional Connectivity in Healthy Aging: The Pivotal Role of the Salience Network in the Prediction of Age and Cognitive Performances
Published in
Frontiers in Aging Neuroscience, August 2016
DOI 10.3389/fnagi.2016.00204
Pubmed ID
Authors

Valentina La Corte, Marco Sperduti, Caroline Malherbe, François Vialatte, Stéphanie Lion, Thierry Gallarda, Catherine Oppenheim, Pascale Piolino

Abstract

Normal aging is related to a decline in specific cognitive processes, in particular in executive functions and memory. In recent years a growing number of studies have focused on changes in brain functional connectivity related to cognitive aging. A common finding is the decreased connectivity within multiple resting state networks, including the default mode network (DMN) and the salience network. In this study, we measured resting state activity using fMRI and explored whether cognitive decline is related to altered functional connectivity. To this end we used a machine learning approach to classify young and old participants from functional connectivity data. The originality of the approach consists in the prediction of the performance and age of the subjects based on functional connectivity by using a machine learning approach. Our findings showed that the connectivity profile between specific networks predicts both the age of the subjects and their cognitive abilities. In particular, we report that the connectivity profiles between the salience and visual networks, and the salience and the anterior part of the DMN, were the features that best predicted the age. Moreover, independently of the age of the subject, connectivity between the salience network and various specific networks (i.e., visual, frontal) predicted episodic memory skills either based on a standard assessment or on an autobiographical memory task, and short-term memory binding. Finally, the connectivity between the salience and the frontal networks predicted inhibition and updating performance, but this link was no longer significant after removing the effect of age. Our findings confirm the crucial role of episodic memory and executive functions in cognitive aging and suggest a pivotal role of the salience network in neural reorganization in aging.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 125 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%
Singapore 1 <1%
Unknown 122 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 24%
Researcher 20 16%
Student > Ph. D. Student 20 16%
Student > Bachelor 10 8%
Other 6 5%
Other 15 12%
Unknown 24 19%
Readers by discipline Count As %
Psychology 31 25%
Neuroscience 25 20%
Engineering 9 7%
Medicine and Dentistry 8 6%
Social Sciences 4 3%
Other 11 9%
Unknown 37 30%
Attention Score in Context

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 30 August 2016.
All research outputs
#14,207,060
of 22,884,315 outputs
Outputs from Frontiers in Aging Neuroscience
#3,198
of 4,819 outputs
Outputs of similar age
#193,640
of 337,699 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#37
of 60 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,819 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 32nd percentile – i.e., 32% 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 337,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.