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Maturing Thalamocortical Functional Connectivity Across Development

Overview of attention for article published in Frontiers in Systems Neuroscience, January 2010
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Title
Maturing Thalamocortical Functional Connectivity Across Development
Published in
Frontiers in Systems Neuroscience, January 2010
DOI 10.3389/fnsys.2010.00010
Pubmed ID
Authors

Damien A. Fair, Deepti Bathula, Kathryn L. Mills, Taciana G. Costa Dias, Michael S. Blythe, Dongyang Zhang, Abraham Z. Snyder, Marcus E. Raichle, Alexander A. Stevens, Joel T. Nigg, Bonnie J. Nagel

Abstract

Recent years have witnessed a surge of investigations examining functional brain organization using resting-state functional connectivity MRI (rs-fcMRI). To date, this method has been used to examine systems organization in typical and atypical developing populations. While the majority of these investigations have focused on cortical-cortical interactions, cortical-subcortical interactions also mature into adulthood. Innovative work by Zhang et al. (2008) in adults have identified methods that utilize rs-fcMRI and known thalamo-cortical topographic segregation to identify functional boundaries in the thalamus that are remarkably similar to known thalamic nuclear grouping. However, despite thalamic nuclei being well formed early in development, the developmental trajectory of functional thalamo-cortical relations remains unexplored. Thalamic maps generated by rs-fcMRI are based on functional relationships, and should modify with the dynamic thalamo-cortical changes that occur throughout maturation. To examine this possibility, we employed a strategy as previously described by Zhang et al. to a sample of healthy children, adolescents, and adults. We found strengthening functional connectivity of the cortex with dorsal/anterior subdivisions of the thalamus, with greater connectivity observed in adults versus children. Temporal lobe connectivity with ventral/midline/posterior subdivisions of the thalamus weakened with age. Changes in sensory and motor thalamo-cortical interactions were also identified but were limited. These findings are consistent with known anatomical and physiological cortical-subcortical changes over development. The methods and developmental context provided here will be important for understanding how cortical-subcortical interactions relate to models of typically developing behavior and developmental neuropsychiatric disorders.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 4%
United Kingdom 4 2%
Italy 2 <1%
Canada 2 <1%
Malta 1 <1%
Netherlands 1 <1%
Unknown 222 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 65 27%
Student > Ph. D. Student 57 24%
Student > Master 24 10%
Professor > Associate Professor 19 8%
Professor 15 6%
Other 36 15%
Unknown 26 11%
Readers by discipline Count As %
Psychology 50 21%
Agricultural and Biological Sciences 45 19%
Neuroscience 42 17%
Medicine and Dentistry 30 12%
Engineering 17 7%
Other 20 8%
Unknown 38 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 June 2018.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Frontiers in Systems Neuroscience
#665
of 1,416 outputs
Outputs of similar age
#53,654
of 177,915 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#8
of 23 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,416 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has gotten more attention than average, scoring higher than 50% 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 177,915 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.