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Using real-time fMRI to influence effective connectivity in the developing emotion regulation network

Overview of attention for article published in NeuroImage, October 2015
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
9 news outlets
blogs
4 blogs
twitter
14 X users
facebook
3 Facebook pages

Readers on

mendeley
310 Mendeley
citeulike
1 CiteULike
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Article details
Title
Using real-time fMRI to influence effective connectivity in the developing emotion regulation network
Published in
NeuroImage, October 2015
DOI 10.1016/j.neuroimage.2015.09.070
Pubmed ID
Authors
Abstract

For most people, adolescence is synonymous with emotional turmoil and it has been shown that early difficulties with emotion regulation can lead to persistent problems for some people. This suggests that intervention during development might reduce long-term negative consequences for those individuals. Recent research has highlighted the suitability of real-time fMRI-based neurofeedback (NF) in training emotion regulation (ER) networks in adults. However, its usefulness in directly influencing plasticity in the maturing ER networks remains unclear. Here, we used NF to teach a group of 17 7-16 year-olds to up-regulate the bilateral insula, a key ER region. We found that all participants learned to increase activation during the up-regulation trials in comparison to the down-regulation trials. Importantly, a subsequent Granger causality analysis of Granger information flow within the wider ER network found that during up-regulation trials, bottom-up driven Granger information flow increased from the amygdala to the bilateral insula and from the left insula to the mid-cingulate cortex, supplementary motor area and the inferior parietal lobe. This was reversed during the down-regulation trials, where we observed an increase in top-down driven Granger information flow to the bilateral insula from mid-cingulate cortex, pre-central gyrus and inferior parietal lobule. This suggests that: 1) NF training had a differential effect on up-regulation vs down-regulation network connections, and that 2) our training was not only superficially concentrated on surface effects but also relevant with regards to the underlying neurocognitive bases. Together these findings highlight the feasibility of using NF in children and adolescents and its possible use for shaping key social cognitive networks during development.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 310 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Germany 2 <1%
Portugal 1 <1%
Japan 1 <1%
Italy 1 <1%
Hungary 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Denmark 1 <1%
China 1 <1%
Other 3 <1%
Unknown 297 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 64 21%
Researcher 47 15%
Student > Master 46 15%
Student > Bachelor 26 8%
Student > Doctoral Student 18 6%
Other 44 14%
Unknown 65 21%
Readers by discipline
Readers by discipline Count As %
Psychology 94 30%
Neuroscience 61 20%
Medicine and Dentistry 19 6%
Agricultural and Biological Sciences 9 3%
Engineering 9 3%
Other 26 8%
Unknown 92 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 89. 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 23 May 2017.
All research outputs
#576,277
of 32,505,732 outputs
Outputs from NeuroImage
#227
of 13,331 outputs
Outputs of similar age
#6,678
of 312,376 outputs
Outputs of similar age from NeuroImage
#10
of 223 outputs
Altmetric has tracked 32,505,732 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 13,331 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 312,376 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 97% of its contemporaries.
We're also able to compare this research output to 223 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 95% of its contemporaries.