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Predicting individual brain maturity using dynamic functional connectivity

Overview of attention for article published in Frontiers in Human Neuroscience, July 2015
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Title
Predicting individual brain maturity using dynamic functional connectivity
Published in
Frontiers in Human Neuroscience, July 2015
DOI 10.3389/fnhum.2015.00418
Pubmed ID
Authors

Jian Qin, Shan-Guang Chen, Dewen Hu, Ling-Li Zeng, Yi-Ming Fan, Xiao-Ping Chen, Hui Shen

Abstract

Neuroimaging-based functional connectivity (FC) analyses have revealed significant developmental trends in specific intrinsic connectivity networks linked to cognitive and behavioral maturation. However, knowledge of how brain functional maturation is associated with FC dynamics at rest is limited. Here, we examined age-related differences in the temporal variability of FC dynamics with data publicly released by the Nathan Kline Institute (NKI; n = 183, ages 7-30) and showed that dynamic inter-region interactions can be used to accurately predict individual brain maturity across development. Furthermore, we identified a significant age-dependent trend underlying dynamic inter-network FC, including increasing variability of the connections between the visual network, default mode network (DMN) and cerebellum as well as within the cerebellum and DMN and decreasing variability within the cerebellum and between the cerebellum and DMN as well as the cingulo-opercular network. Overall, the results suggested significant developmental changes in dynamic inter-network interaction, which may shed new light on the functional organization of typical developmental brains.

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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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 <1%
Singapore 1 <1%
Unknown 122 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 22%
Student > Master 24 19%
Researcher 17 14%
Student > Bachelor 11 9%
Student > Doctoral Student 5 4%
Other 20 16%
Unknown 20 16%
Readers by discipline Count As %
Neuroscience 30 24%
Psychology 14 11%
Engineering 14 11%
Computer Science 10 8%
Agricultural and Biological Sciences 6 5%
Other 18 15%
Unknown 32 26%
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 18 July 2015.
All research outputs
#15,332,207
of 23,577,761 outputs
Outputs from Frontiers in Human Neuroscience
#4,987
of 7,319 outputs
Outputs of similar age
#146,747
of 263,955 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#108
of 160 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 27th percentile – i.e., 27% 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 263,955 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.