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Dysfunction and Dysconnection in Cortical–Striatal Networks during Sustained Attention: Genetic Risk for Schizophrenia or Bipolar Disorder and its Impact on Brain Network Function

Overview of attention for article published in Frontiers in Psychiatry, May 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
12 news outlets
blogs
2 blogs
twitter
18 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
110 Mendeley
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Title
Dysfunction and Dysconnection in Cortical–Striatal Networks during Sustained Attention: Genetic Risk for Schizophrenia or Bipolar Disorder and its Impact on Brain Network Function
Published in
Frontiers in Psychiatry, May 2014
DOI 10.3389/fpsyt.2014.00050
Pubmed ID
Authors

Vaibhav A. Diwadkar, Neil Bakshi, Gita Gupta, Patrick Pruitt, Richard White, Simon B. Eickhoff

Abstract

Abnormalities in the brain's attention network may represent early identifiable neurobiological impairments in individuals at increased risk for schizophrenia or bipolar disorder. Here, we provide evidence of dysfunctional regional and network function in adolescents at higher genetic risk for schizophrenia or bipolar disorder [henceforth higher risk (HGR)]. During fMRI, participants engaged in a sustained attention task with variable demands. The task alternated between attention (120 s), visual control (passive viewing; 120 s), and rest (20 s) epochs. Low and high demand attention conditions were created using the rapid presentation of two- or three-digit numbers. Subjects were required to detect repeated presentation of numbers. We demonstrate that the recruitment of cortical and striatal regions are disordered in HGR: relative to typical controls (TC), HGR showed lower recruitment of the dorsal prefrontal cortex, but higher recruitment of the superior parietal cortex. This imbalance was more dramatic in the basal ganglia. There, a group by task demand interaction was observed, such that increased attention demand led to increased engagement in TC, but disengagement in HGR. These activation studies were complemented by network analyses using dynamic causal modeling. Competing model architectures were assessed across a network of cortical-striatal regions, distinguished at a second level using random-effects Bayesian model selection. In the winning architecture, HGR were characterized by significant reductions in coupling across both frontal-striatal and frontal-parietal pathways. The effective connectivity analyses indicate emergent network dysconnection, consistent with findings in patients with schizophrenia. Emergent patterns of regional dysfunction and dysconnection in cortical-striatal pathways may provide functional biological signatures in the adolescent risk-state for psychiatric illness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Switzerland 1 <1%
Unknown 107 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 21%
Student > Master 17 15%
Researcher 12 11%
Professor > Associate Professor 8 7%
Student > Postgraduate 5 5%
Other 19 17%
Unknown 26 24%
Readers by discipline Count As %
Psychology 33 30%
Neuroscience 20 18%
Medicine and Dentistry 10 9%
Agricultural and Biological Sciences 8 7%
Computer Science 2 2%
Other 4 4%
Unknown 33 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 108. 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 31 August 2020.
All research outputs
#381,958
of 25,182,110 outputs
Outputs from Frontiers in Psychiatry
#239
of 12,390 outputs
Outputs of similar age
#3,199
of 233,560 outputs
Outputs of similar age from Frontiers in Psychiatry
#4
of 40 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,390 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 done particularly well, scoring higher than 98% 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 233,560 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.