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Resting-State Functional Connectivity in the Infant Brain: Methods, Pitfalls, and Potentiality

Overview of attention for article published in Frontiers in Pediatrics, August 2017
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Title
Resting-State Functional Connectivity in the Infant Brain: Methods, Pitfalls, and Potentiality
Published in
Frontiers in Pediatrics, August 2017
DOI 10.3389/fped.2017.00159
Pubmed ID
Authors

Chandler R. L. Mongerson, Russell W. Jennings, David Borsook, Lino Becerra, Dusica Bajic

Abstract

Early brain development is characterized by rapid growth and perpetual reconfiguration, driven by a dynamic milieu of heterogeneous processes. Postnatal brain plasticity is associated with increased vulnerability to environmental stimuli. However, little is known regarding the ontogeny and temporal manifestations of inter- and intra-regional functional connectivity that comprise functional brain networks. Resting-state functional magnetic resonance imaging (rs-fMRI) has emerged as a promising non-invasive neuroinvestigative tool, measuring spontaneous fluctuations in blood oxygen level dependent (BOLD) signal at rest that reflect baseline neuronal activity. Over the past decade, its application has expanded to infant populations providing unprecedented insight into functional organization of the developing brain, as well as early biomarkers of abnormal states. However, many methodological issues of rs-fMRI analysis need to be resolved prior to standardization of the technique to infant populations. As a primary goal, this methodological manuscript will (1) present a robust methodological protocol to extract and assess resting-state networks in early infancy using independent component analysis (ICA), such that investigators without previous knowledge in the field can implement the analysis and reliably obtain viable results consistent with previous literature; (2) review the current methodological challenges and ethical considerations associated with emerging field of infant rs-fMRI analysis; and (3) discuss the significance of rs-fMRI application in infants for future investigations of neurodevelopment in the context of early life stressors and pathological processes. The overarching goal is to catalyze efforts toward development of robust, infant-specific acquisition, and preprocessing pipelines, as well as promote greater transparency by researchers regarding methods used.

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

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 24%
Student > Ph. D. Student 20 20%
Student > Doctoral Student 11 11%
Student > Master 6 6%
Other 6 6%
Other 14 14%
Unknown 18 18%
Readers by discipline Count As %
Neuroscience 26 26%
Psychology 13 13%
Agricultural and Biological Sciences 6 6%
Medicine and Dentistry 5 5%
Engineering 4 4%
Other 12 12%
Unknown 33 33%
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 01 September 2017.
All research outputs
#16,022,550
of 24,378,020 outputs
Outputs from Frontiers in Pediatrics
#2,615
of 7,095 outputs
Outputs of similar age
#193,594
of 321,339 outputs
Outputs of similar age from Frontiers in Pediatrics
#33
of 57 outputs
Altmetric has tracked 24,378,020 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 7,095 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 57% 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 321,339 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 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.