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Exercise-Related Changes of Networks in Aging and Mild Cognitive Impairment Brain

Overview of attention for article published in Frontiers in Aging Neuroscience, March 2016
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Title
Exercise-Related Changes of Networks in Aging and Mild Cognitive Impairment Brain
Published in
Frontiers in Aging Neuroscience, March 2016
DOI 10.3389/fnagi.2016.00047
Pubmed ID
Authors

Pei Huang, Rong Fang, Bin-Yin Li, Sheng-Di Chen

Abstract

Aging and mild cognitive impairment (MCI) are accompanied by decline of cognitive functions. Meanwhile, the most common form of dementia is Alzheimer's disease (AD), which is characterized by loss of memory and other intellectual abilities serious to make difficulties for patients in their daily life. MCI is a transition period between normal aging and dementia, which has been used for early detection of emerging dementia. It converts to dementia with an annual rate of 5-15% as compared to normal aging with 1% rate. Small decreases in the conversion rate of MCI to AD might significantly reduce the prevalence of dementia. Thus, it is important to intervene at the preclinical stage. Since there are still no effective drugs to treat AD, non-drug intervention is crucial for the prevention and treatment of cognitive decline in aging and MCI populations. Previous studies have found some cognitive brain networks disrupted in aging and MCI population, and physical exercise (PE) could effectively remediate the function of these brain networks. Understanding the exercise-related mechanisms is crucial to design efficient and effective PE programs for treatment/intervention of cognitive decline. In this review, we provide an overview of the neuroimaging studies on physical training in normal aging and MCI to identify the potential mechanisms underlying current physical training procedures. Studies of functional magnetic resonance imaging, electroencephalography, magnetoencephalography and positron emission tomography on brain networks were all included. Based on our review, the default mode network, fronto-parietal network and fronto-executive network are probably the three most valuable targets for efficiency evaluation of interventions.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Colombia 1 <1%
Romania 1 <1%
Unknown 218 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 16%
Student > Master 32 14%
Student > Bachelor 28 13%
Researcher 18 8%
Professor > Associate Professor 10 5%
Other 36 16%
Unknown 62 28%
Readers by discipline Count As %
Psychology 33 15%
Neuroscience 31 14%
Medicine and Dentistry 22 10%
Nursing and Health Professions 9 4%
Sports and Recreations 9 4%
Other 40 18%
Unknown 77 35%
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 05 December 2016.
All research outputs
#14,252,924
of 22,854,458 outputs
Outputs from Frontiers in Aging Neuroscience
#3,229
of 4,801 outputs
Outputs of similar age
#157,540
of 298,965 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#50
of 75 outputs
Altmetric has tracked 22,854,458 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 4,801 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 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 298,965 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 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.