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Upper esophageal sphincter mechanical states analysis: a novel methodology to describe UES relaxation and opening

Overview of attention for article published in Frontiers in Systems Neuroscience, January 2015
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Title
Upper esophageal sphincter mechanical states analysis: a novel methodology to describe UES relaxation and opening
Published in
Frontiers in Systems Neuroscience, January 2015
DOI 10.3389/fnsys.2014.00241
Pubmed ID
Authors

Taher I. Omari, Lukasz Wiklendt, Philip Dinning, Marcello Costa, Nathalie Rommel, Charles Cock

Abstract

The swallowing muscles that influence upper esophageal sphincter (UES) opening are centrally controlled and modulated by sensory information. Activation of neural inputs to these muscles, the intrinsic cricopharyngeus muscle and extrinsic suprahyoid muscles, results in their 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 calculate the "mechanical states" of the muscle; that is when the muscles are passively or actively, relaxing or contracting. Diseases that alter the neural pathways to these muscles can result in weakening the muscle contractility and/or decreasing the muscle compliance, all of which can cause dysphagia. Detecting these changes in the mechanical state of the muscle is difficult and as the current interpretation of UES motility is based largely upon pressure measurement (manometry), subtle changes in the muscle function during swallow can be missed. We hypothesized that quantification of mechanical states of the UES and the pressure-diameter properties that define them, would allow objective characterization of the mechanisms that govern the timing and extent of UES opening during swallowing. To achieve this we initially analyzed swallows captured by simultaneous videofluoroscopy and UES 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 when compared to videofluoroscopy. Then using a database of pressure-impedance studies, recorded from young and aged healthy controls and patients with motor neuron disease, we calculated the UES mechanical states in relation to a standardized swallowed bolus volume, normal aging and dysphagia pathology. Our results indicated that eight different mechanical states were almost always seen during healthy swallowing and some of these calculated changes in muscle function were consistent with the known neurally dependent phasic discharge patterns of cricopharyngeus muscle activity during swallowing. Clearly defined changes in the mechanical states were observed in motor neuron disease when compared to age matched healthy controls. Our data indicate that mechanical state predictions were simple to apply and revealed patterns consistent with the known neural inputs activating the different muscles during swallowing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Student > Master 8 17%
Student > Doctoral Student 4 9%
Professor > Associate Professor 3 7%
Researcher 3 7%
Other 5 11%
Unknown 11 24%
Readers by discipline Count As %
Medicine and Dentistry 17 37%
Nursing and Health Professions 10 22%
Engineering 2 4%
Agricultural and Biological Sciences 1 2%
Social Sciences 1 2%
Other 3 7%
Unknown 12 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 November 2022.
All research outputs
#15,552,610
of 23,114,117 outputs
Outputs from Frontiers in Systems Neuroscience
#963
of 1,346 outputs
Outputs of similar age
#210,597
of 354,075 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#28
of 42 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 354,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.