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Selective alteration of human value decisions with medial frontal tDCS is predicted by changes in attractor dynamics

Overview of attention for article published in Scientific Reports, May 2016
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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 (88th percentile)

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1 news outlet
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18 X users
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1 Facebook page

Citations

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34 Dimensions

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90 Mendeley
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Title
Selective alteration of human value decisions with medial frontal tDCS is predicted by changes in attractor dynamics
Published in
Scientific Reports, May 2016
DOI 10.1038/srep25160
Pubmed ID
Authors

D. Hämmerer, J. Bonaiuto, M. Klein-Flügge, M. Bikson, S. Bestmann

Abstract

During value-based decision making, ventromedial prefrontal cortex (vmPFC) is thought to support choices by tracking the expected gain from different outcomes via a competition-based process. Using a computational neurostimulation approach we asked how perturbing this region might alter this competition and resulting value decisions. We simulated a perturbation of neural dynamics in a biophysically informed model of decision-making through in silico depolarization at the level of neuronal ensembles. Simulated depolarization increased baseline firing rates of pyramidal neurons, which altered their susceptibility to background noise, and thereby increased choice stochasticity. These behavioural predictions were compared to choice behaviour in healthy participants performing similar value decisions during transcranial direct current stimulation (tDCS), a non-invasive brain stimulation technique. We placed the soma depolarizing electrode over medial frontal PFC. In line with model predictions, this intervention resulted in more random choices. By contrast, no such effect was observed when placing the depolarizing electrode over lateral PFC. Using a causal manipulation of ventromedial and lateral prefrontal function, these results provide support for competition-based choice dynamics in human vmPFC, and introduce computational neurostimulation as a mechanistic assay for neurostimulation studies of cognition.

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

Geographical breakdown

Country Count As %
Germany 1 1%
Switzerland 1 1%
Brazil 1 1%
Unknown 87 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 23%
Researcher 18 20%
Student > Master 11 12%
Student > Bachelor 8 9%
Student > Doctoral Student 6 7%
Other 6 7%
Unknown 20 22%
Readers by discipline Count As %
Psychology 21 23%
Neuroscience 21 23%
Agricultural and Biological Sciences 7 8%
Biochemistry, Genetics and Molecular Biology 3 3%
Computer Science 2 2%
Other 11 12%
Unknown 25 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 July 2017.
All research outputs
#1,685,838
of 25,018,122 outputs
Outputs from Scientific Reports
#15,766
of 137,265 outputs
Outputs of similar age
#27,375
of 304,655 outputs
Outputs of similar age from Scientific Reports
#382
of 3,202 outputs
Altmetric has tracked 25,018,122 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 137,265 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done well, scoring higher than 88% 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 304,655 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 3,202 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.