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Dorsal Raphe Nucleus Down-Regulates Medial Prefrontal Cortex during Experience of Flow

Overview of attention for article published in Frontiers in Behavioral Neuroscience, September 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 3,153)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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46 news outlets
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3 blogs
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14 X users
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1 Facebook page

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70 Mendeley
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Title
Dorsal Raphe Nucleus Down-Regulates Medial Prefrontal Cortex during Experience of Flow
Published in
Frontiers in Behavioral Neuroscience, September 2016
DOI 10.3389/fnbeh.2016.00169
Pubmed ID
Authors

Martin Ulrich, Johannes Keller, Georg Grön

Abstract

Previous neuroimaging studies have suggested that the experience of flow aligns with a relative increase in activation of the dorsal raphe nucleus (DRN), and relative activation decreases of the medial prefrontal cortex (MPFC) and of the amygdala (AMY). In the present study, Dynamic Causal Modeling (DCM) was used to explore effective connectivity between those brain regions. To test our hypothesis that the DRN causally down-regulates activity of the MPFC and/or of the AMY, 23 healthy male students solved mental arithmetic tasks of varying difficulty during functional magnetic resonance imaging. A "flow" condition, with task demands automatically balanced with participants' skill level, was compared with conditions of "boredom" and "overload". DCM models were constructed modeling full reciprocal endogenous connections between the DRN, the MPFC, the AMY, and the calcarine. The calcarine was included to allow sensory input to enter the system. Experimental conditions were modeled as exerting modulatory effects on various possible connections between the DRN, the MPFC, and the AMY, but not on self-inhibitory connections, yielding a total of 64 alternative DCM models. Model space was partitioned into eight families based on commonalities in the arrangement of the modulatory effects. Random effects Bayesian Model Selection (BMS) was applied to identify a possible winning family (and model). Although BMS revealed a clear winning family, an outstanding winning model could not be identified. Therefore, Bayesian Model Averaging was performed over models within the winning family to obtain representative DCM parameters for subsequent analyses to test our hypothesis. In line with our expectations, Bayesian averaged parameters revealed stronger down-regulatory influence of the DRN on the MPFC when participants experienced flow relative to control conditions. In addition, these condition-dependent modulatory effects significantly predicted participants' experienced degree of flow. The AMY was down-regulated irrespective of condition. The present results suggest a causal role for the DRN in modulating the MPFC, contributing to the experience of flow.

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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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 69 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 20%
Researcher 9 13%
Student > Bachelor 7 10%
Student > Ph. D. Student 7 10%
Student > Doctoral Student 5 7%
Other 10 14%
Unknown 18 26%
Readers by discipline Count As %
Psychology 19 27%
Neuroscience 16 23%
Medicine and Dentistry 4 6%
Social Sciences 3 4%
Unspecified 2 3%
Other 9 13%
Unknown 17 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 384. 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 June 2022.
All research outputs
#65,230
of 22,727,570 outputs
Outputs from Frontiers in Behavioral Neuroscience
#14
of 3,153 outputs
Outputs of similar age
#1,634
of 335,367 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#1
of 48 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,153 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done particularly well, scoring higher than 99% 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 335,367 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 99% of its contemporaries.
We're also able to compare this research output to 48 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 97% of its contemporaries.