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Neural circuitry underlying sustained attention in healthy adolescents and in ADHD symptomatology

Overview of attention for article published in NeuroImage, December 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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1 news outlet
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18 X users
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1 Google+ user

Citations

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44 Dimensions

Readers on

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163 Mendeley
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Title
Neural circuitry underlying sustained attention in healthy adolescents and in ADHD symptomatology
Published in
NeuroImage, December 2017
DOI 10.1016/j.neuroimage.2017.12.030
Pubmed ID
Authors

Laura O'Halloran, Zhipeng Cao, Kathy Ruddy, Lee Jollans, Matthew D. Albaugh, Andrea Aleni, Alexandra S. Potter, Nigel Vahey, Tobias Banaschewski, Sarah Hohmann, Arun L.W. Bokde, Uli Bromberg, Christian Büchel, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Vincent Frouin, Penny Gowland, Andreas Heinz, Bernd Ittermann, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Michael N. Smolka, Henrik Walter, Gunter Schumann, Hugh Garavan, Clare Kelly, Robert Whelan

Abstract

Moment-to-moment reaction time variability on tasks of attention, often quantified by intra-individual response variability (IRV), provides a good indication of the degree to which an individual is vulnerable to lapses in sustained attention. Increased IRV is a hallmark of several disorders of attention, including Attention-Deficit/Hyperactivity Disorder (ADHD). Here, task-based fMRI was used to provide the first examination of how average brain activation and functional connectivity patterns in adolescents are related to individual differences in sustained attention as measured by IRV. We computed IRV in a large sample of adolescents (n = 758) across 'Go' trials of a Stop Signal Task (SST). A data-driven, multi-step analysis approach was used to identify networks associated with low IRV (i.e., good sustained attention) and high IRV (i.e., poorer sustained attention). Low IRV was associated with greater functional segregation (i.e., stronger negative connectivity) amongst an array of brain networks, particularly between cerebellum and motor, cerebellum and prefrontal, and occipital and motor networks. In contrast, high IRV was associated with stronger positive connectivity within the motor network bilaterally and between motor and parietal, prefrontal, and limbic networks. Consistent with these observations, a separate sample of adolescents exhibiting elevated ADHD symptoms had increased fMRI activation and stronger positive connectivity within the same motor network denoting poorer sustained attention, compared to a matched asymptomatic control sample. With respect to the functional connectivity signature of low IRV, there were no statistically significant differences in networks denoting good sustained attention between the ADHD symptom group and asymptomatic control group. We propose that sustained attentional processes are facilitated by an array of neural networks working together, and provide an empirical account of how the functional role of the cerebellum extends to cognition in adolescents. This work highlights the involvement of motor cortex in the integrity of sustained attention, and suggests that atypically strong connectivity within motor networks characterizes poor attentional capacity in both typically developing and ADHD symptomatic adolescents.

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

Geographical breakdown

Country Count As %
Unknown 163 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 17%
Researcher 22 13%
Student > Master 21 13%
Student > Doctoral Student 12 7%
Student > Bachelor 12 7%
Other 27 17%
Unknown 41 25%
Readers by discipline Count As %
Psychology 56 34%
Neuroscience 22 13%
Medicine and Dentistry 7 4%
Computer Science 4 2%
Unspecified 4 2%
Other 16 10%
Unknown 54 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 26 May 2021.
All research outputs
#1,770,498
of 25,382,440 outputs
Outputs from NeuroImage
#1,281
of 12,206 outputs
Outputs of similar age
#39,487
of 447,689 outputs
Outputs of similar age from NeuroImage
#36
of 220 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,206 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 89% 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 447,689 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 91% of its contemporaries.
We're also able to compare this research output to 220 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.