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Autonomic and Brain Morphological Predictors of Stress Resilience

Overview of attention for article published in Frontiers in Neuroscience, April 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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15 X users
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1 Facebook page

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88 Dimensions

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246 Mendeley
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Title
Autonomic and Brain Morphological Predictors of Stress Resilience
Published in
Frontiers in Neuroscience, April 2018
DOI 10.3389/fnins.2018.00228
Pubmed ID
Authors

Luca Carnevali, Julian Koenig, Andrea Sgoifo, Cristina Ottaviani

Abstract

Stressful life events are an important cause of psychopathology. Humans exposed to aversive or stressful experiences show considerable inter-individual heterogeneity in their responses. However, the majority does not develop stress-related psychiatric disorders. The dynamic processes encompassing positive and functional adaptation in the face of significant adversity have been broadly defined as resilience. Traditionally, the assessment of resilience has been confined to self-report measures, both within the general community and putative high-risk populations. Although this approach has value, it is highly susceptible to subjective bias and may not capture the dynamic nature of resilience, as underlying construct. Recognizing the obvious benefits of more objective measures of resilience, research in the field has just started investigating the predictive value of several potential biological markers. This review provides an overview of theoretical views and empirical evidence suggesting that individual differences in heart rate variability (HRV), a surrogate index of resting cardiac vagal outflow, may underlie different levels of resilience toward the development of stress-related psychiatric disorders. Following this line of thought, recent studies describing associations between regional brain morphometric characteristics and resting state vagally-mediated HRV are summarized. Existing studies suggest that the structural morphology of the anterior cingulated cortex (ACC), particularly its cortical thickness, is implicated in the expression of individual differences in HRV. These findings are discussed in light of emerging structural neuroimaging research, linking morphological characteristics of the ACC to psychological traits ascribed to a high-resilient profile and abnormal structural integrity of the ACC to the psychophysiological expression of stress-related mental health consequences. We conclude that a multidisciplinary approach integrating brain structural imaging with HRV monitoring could offer novel perspectives about brain-body pathways in resilience and adaptation to psychological stress.

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X Demographics

The data shown below were collected from the profiles of 15 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 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 246 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 17%
Researcher 32 13%
Student > Master 25 10%
Student > Bachelor 20 8%
Student > Doctoral Student 16 7%
Other 33 13%
Unknown 77 31%
Readers by discipline Count As %
Neuroscience 45 18%
Psychology 43 17%
Medicine and Dentistry 25 10%
Agricultural and Biological Sciences 10 4%
Biochemistry, Genetics and Molecular Biology 5 2%
Other 22 9%
Unknown 96 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 04 October 2020.
All research outputs
#4,154,154
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#3,425
of 11,542 outputs
Outputs of similar age
#76,624
of 343,704 outputs
Outputs of similar age from Frontiers in Neuroscience
#68
of 249 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,542 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 gotten more attention than average, scoring higher than 70% 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 343,704 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 249 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.