Related Experiment Video
Updated: Feb 13, 2026

12:03
A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
Published on: May 25, 2019
8.9K
Mylohyoid motor evoked potentials can effectively predict persistent dysphagia 3 months poststroke
1Department of Rehabilitation Medicine, Wonkwang University School of Medicine, Iksan, Korea.
Neurogastroenterology and Motility
|March 14, 2018
Summary
Mylohyoid motor-evoked potentials (MH-MEP) effectively predict post-stroke aspiration. Specific MH-MEP ratios correlate with swallowing severity, aiding in identifying patients at risk for persistent dysphagia.
Area of Science:
- Neurology
- Swallowing Disorders
- Biomedical Engineering
Background:
- Stroke frequently causes dysphagia, leading to aspiration and increased morbidity.
- Accurate prediction of aspiration risk is crucial for timely intervention and improved patient outcomes.
Purpose of the Study:
- To investigate the association between mylohyoid motor-evoked potentials (MH-MEP) and swallowing function.
- To determine the predictive value of MH-MEP for aspiration 3 months post-stroke.
Main Methods:
- Subacute stroke patients underwent serial videofluoroscopic swallowing studies (VFSS) and MH-MEP assessments.
- MH-MEP parameters (resting motor threshold, amplitude ratios) were recorded and analyzed.
- Correlation and regression analyses were performed to link MH-MEP with VFSS-based swallowing scales (PAS, VDS).
Main Results:
- 35.3% of patients exhibited aspiration at 3 months post-stroke.
- MH-MEP parameters, specifically the resting motor threshold ratio and amplitude ratio, significantly correlated with swallowing impairment (PAS, VDS).
- The resting motor threshold ratio and amplitude ratio independently predicted aspiration at 3 months, with high sensitivity and specificity.
Conclusions:
- MH-MEP is a valuable tool for assessing swallowing function in post-stroke patients.
- MH-MEP parameters, particularly the rMT ratio and amplitude ratio, can effectively predict persistent dysphagia 3 months after stroke.
Related Concept Videos
Predicting Molecular Geometry
46.1K
VSEPR Theory for Determination of Electron Pair Geometries
46.1K
Standard Electrode Potentials
50.5K
On comparing the reactivity of silver and lead, it is observed that the two ionic species, Ag+ (aq) and Pb2+ (aq), show a difference in their redox reactivity towards copper: the silver ion undergoes spontaneous reduction, while the lead ion does not. This relative redox activity can be easily quantified in electrochemical cells by a property called cell potential. This property is commonly known as cell voltage in electrochemistry, and it is a measure of the energy which accompanies the charge...
50.5K
Prediction Intervals
3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.4K
Potential Energy
42.9K
The energy stored by a structure and location of matter in space is called potential energy. For instance, raising a kettlebell changes its spatial location and increases its potential energy. Similarly, a stretched rubber band contains potential energy which, under certain conditions, can be converted into other forms of energy, such as kinetic energy.
Chemical bonds that form attractive forces between atoms also contain potential energy, called chemical energy. When a chemical reaction...
Chemical bonds that form attractive forces between atoms also contain potential energy, called chemical energy. When a chemical reaction...
42.9K
Sensitivity, Specificity, and Predicted Value
1.4K
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Sensitivity is the...
1.4K
End Point Prediction: Gran Plot
1.3K
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
For potentiometric titration, the Gran plot is created by plotting...
1.3K

