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Characterization of Esophageal Physiology Using Mechanical State Analysis

Overview of attention for article published in Frontiers in Systems Neuroscience, February 2016
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Characterization of Esophageal Physiology Using Mechanical State Analysis
Published in
Frontiers in Systems Neuroscience, February 2016
DOI 10.3389/fnsys.2016.00010
Pubmed ID
Authors

Richard E. Leibbrandt, Phil G. Dinning, Marcello Costa, Charles Cock, Lukasz Wiklendt, Guangsong Wang, Jan Tack, Dirk van Beckevoort, Nathalie Rommel, Taher I. Omari

Abstract

The esophagus functions to transport swallowed fluids and food from the pharynx to the stomach. The esophageal muscles governing bolus transport comprise circular striated muscle of the proximal esophagus and circular smooth muscle of the distal esophagus. Longitudinal smooth muscle contraction provides a mechanical advantage to bolus transit during circular smooth muscle contraction. Esophageal striated muscle is directly controlled by neural circuits originating in the central nervous system, resulting in coordinated contractions. In contrast, the esophageal smooth muscle is controlled by enteric circuits modulated by extrinsic central neural connections resulting in neural relaxation and contraction. The esophageal muscles are modulated by sensory information arising from within the lumen. Contraction or relaxation, which changes the diameter of the lumen, alters the intraluminal pressure and ultimately inhibits or promotes flow of content. This relationship that exists between the changes in diameter and concurrent changes in intraluminal pressure has been used previously to identify the "mechanical states" of the circular muscle; that is when the muscles are passively or actively, relaxing or contracting. Detecting these changes in the mechanical state of the muscle has been difficult and as the current interpretation of esophageal motility is based largely upon pressure measurement (manometry), subtle changes in the muscle function during peristalsis can be missed. We hypothesized that quantification of mechanical states of the esophageal circular muscles and the pressure-diameter properties that define them, would allow objective characterization of the mechanisms that govern esophageal peristalsis. To achieve this we analyzed barium swallows captured by simultaneous videofluoroscopy and pressure with impedance recording. From these data we demonstrated that intraluminal impedance measurements could be used to determine changes in the internal diameter of the lumen comparable with measurements from videofluoroscopy. Our data indicated that identification of mechanical state of esophageal muscle was simple to apply and revealed patterns consistent with the known neural inputs activating the different muscles during swallowing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 19%
Student > Ph. D. Student 3 19%
Student > Postgraduate 2 13%
Researcher 2 13%
Student > Doctoral Student 1 6%
Other 2 13%
Unknown 3 19%
Readers by discipline Count As %
Medicine and Dentistry 7 44%
Agricultural and Biological Sciences 2 13%
Mathematics 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 1 6%
Unknown 3 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 August 2016.
All research outputs
#12,749,139
of 22,842,950 outputs
Outputs from Frontiers in Systems Neuroscience
#655
of 1,344 outputs
Outputs of similar age
#130,890
of 297,953 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#19
of 44 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,344 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 50% 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 297,953 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 44 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 54% of its contemporaries.