Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Neural Regulation

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Automatic Detection of Motor Unit Fractions in Multiscanning EMG Recordings.

Annals of biomedical engineering·2026

Same author

Motor Unit Loss and Remodeling in Patients With Chronic Radiculopathy Using the EMG Filling Analysis.

Muscle & nerve·2025

Same author

Peaks or threshold-crossing: A comparative analysis of neuromuscular jitter measurement methods.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology·2025

Same author

Algorithm for jitter measurement in neuromuscular junction disease.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology·2025

Same author

The Probability Density Function (PDF) of surface EMG with increasing force: a comparison between the tibialis anterior and the vastus lateralis.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology·2025

Same author

Acute caffeine intake improves muscular strength, power, and endurance performance, reversing the time-of-day effect regardless of muscle activation level in resistance-trained males: a randomized controlled trial.

European journal of applied physiology·2025

Same journal

Pathology-Informed Augmentation Improves Cross-Cohort IMU-to-vGRF Estimation Between Healthy Adults and Adults With Osteoarthritis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

Same journal

Effects of task-driven head orientations on gait and balance during walking in virtual reality.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

Same journal

Wearable sensor-based Mild Cognitive Impairment Identification: A Multi-Domain Gait Analysis Approach with Association Rule Mining.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

Same journal

Semi-implantable Micro-cooler for Dorsal Root Ganglion Enables Targeted, Sustained, and Cumulative Pain Relief.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

Same journal

Auditory Cue Integration for a Power-Assisted Gait Training System Based on Neurodevelopmental Treatment Principles.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

Same journal

Quantifying the dynamics that link leg tendon vibration to induced periodic postural oscillations in young subjects Differential effects of light touch on the induced sway.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 11, 2025

Author Spotlight: Studying Neuromuscular Responses and Motor Neuron Plasticity in Neurodegenerative Diseases

Author Spotlight: Studying Neuromuscular Responses and Motor Neuron Plasticity in Neurodegenerative Diseases

Published on: April 19, 2024

Motor Neuron Loss Detection Based on EMG Probability Density Function Shape Descriptors.

Javier Navallas, Lucia Biurrun, Cristina Mariscal

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society

|August 14, 2025

Summary

This summary is machine-generated.

This study introduces a new method for analyzing electromyography (EMG) signals to detect motor neuron loss. The technique quantifies EMG signal filling during muscle contractions, showing promise for clinical decision support systems.

More Related Videos

In Vivo Electrophysiological Measurement of Compound Muscle Action Potential from the Forelimbs in Mouse Models of Motor Neuron Degeneration

In Vivo Electrophysiological Measurement of Compound Muscle Action Potential from the Forelimbs in Mouse Models of Motor Neuron Degeneration

Published on: June 15, 2018

Electrophysiological Motor Unit Number Estimation MUNE Measuring Compound Muscle Action Potential CMAP in Mouse Hindlimb Muscles

Electrophysiological Motor Unit Number Estimation MUNE Measuring Compound Muscle Action Potential CMAP in Mouse Hindlimb Muscles

Published on: September 25, 2015

Related Experiment Videos

Last Updated: Sep 11, 2025

Author Spotlight: Studying Neuromuscular Responses and Motor Neuron Plasticity in Neurodegenerative Diseases

Author Spotlight: Studying Neuromuscular Responses and Motor Neuron Plasticity in Neurodegenerative Diseases

Published on: April 19, 2024

In Vivo Electrophysiological Measurement of Compound Muscle Action Potential from the Forelimbs in Mouse Models of Motor Neuron Degeneration

In Vivo Electrophysiological Measurement of Compound Muscle Action Potential from the Forelimbs in Mouse Models of Motor Neuron Degeneration

Published on: June 15, 2018

Electrophysiological Motor Unit Number Estimation MUNE Measuring Compound Muscle Action Potential CMAP in Mouse Hindlimb Muscles

Electrophysiological Motor Unit Number Estimation MUNE Measuring Compound Muscle Action Potential CMAP in Mouse Hindlimb Muscles

Published on: September 25, 2015

Area of Science:

Biomedical Engineering
Neuroscience
Clinical Electrophysiology

Background:

Electromyography (EMG) interference pattern analysis is crucial for assessing motor neuron loss.
Current methods lack systematic quantification of EMG signal evolution during contractions.

Purpose of the Study:

To develop and validate a systematic approach for EMG interference pattern analysis.
To quantify EMG signal filling behavior using probability density function (PDF) shape descriptors.
To assess the utility of these features in detecting motor neuron loss.

Main Methods:

Recording isometric ramp contractions from minimum to maximum activation.
Employing three EMG PDF shape descriptors: filling factor, negentropy, and kurtosis.
Fitting filling curves with an exponential model and extracting decay constant parameters for feature vectors.

Main Results:

Simulated neuropathy showed shortened filling curves and lack of saturation.
Decay constant parameters correlated with neuropathy progression.
A classification system using these features achieved 0.86 sensitivity and 0.84 specificity in real signals.

Conclusions:

The proposed method systematically quantifies EMG filling behavior.
The derived features effectively detect motor neuron loss.
This approach shows significant potential for clinical decision support systems in diagnosing neurological conditions.