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Age related changes in striatal resting state functional connectivity in autism

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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Title
Age related changes in striatal resting state functional connectivity in autism
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00814
Pubmed ID
Authors

Aarthi Padmanabhan, Andrew Lynn, William Foran, Beatriz Luna, Kirsten O'Hearn

Abstract

Characterizing the nature of developmental change is critical to understanding the mechanisms that are impaired in complex neurodevelopment disorders such as autism spectrum disorder (ASD) and, pragmatically, may allow us to pinpoint periods of plasticity when interventions are particularly useful. Although aberrant brain development has long been theorized as a characteristic feature of ASD, the neural substrates have been difficult to characterize, in part due to a lack of developmental data and to performance confounds. To address these issues, we examined the development of intrinsic functional connectivity, with resting state fMRI from late childhood to early adulthood (8-36 years), using a seed based functional connectivity method with the striatal regions. Overall, we found that both groups show decreases in cortico-striatal circuits over age. However, when controlling for age, ASD participants showed increased connectivity with parietal cortex and decreased connectivity with prefrontal cortex relative to typically developed (TD) participants. In addition, ASD participants showed aberrant age-related connectivity with anterior aspects of cerebellum, and posterior temporal regions (e.g., fusiform gyrus, inferior and superior temporal gyri). In sum, we found prominent differences in the development of striatal connectivity in ASD, most notably, atypical development of connectivity in striatal networks that may underlie cognitive and social reward processing. Our findings highlight the need to identify the biological mechanisms of perturbations in brain reorganization over development, which may also help clarify discrepant findings in the literature.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Canada 1 <1%
Unknown 147 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 25%
Student > Master 26 17%
Researcher 22 15%
Student > Bachelor 10 7%
Student > Doctoral Student 9 6%
Other 21 14%
Unknown 26 17%
Readers by discipline Count As %
Psychology 43 28%
Neuroscience 36 24%
Medicine and Dentistry 13 9%
Agricultural and Biological Sciences 10 7%
Engineering 4 3%
Other 10 7%
Unknown 35 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 November 2013.
All research outputs
#20,210,424
of 22,731,677 outputs
Outputs from Frontiers in Human Neuroscience
#6,528
of 7,136 outputs
Outputs of similar age
#248,807
of 280,774 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#817
of 862 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 862 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.