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

Cardiac Action Potential

Cardiac Action Potential

Cardiac action potentials are essential for proper heart function, enabling the rhythmic contractions needed for adequate blood circulation. Nodal cells and Purkinje fibers, specialized for electrical conduction, generate these action potentials.
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials

Epilepsy and Seizures: Overview

Epilepsy and Seizures: Overview

Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...

Seizures: Classification

Seizures: Classification

Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:

Action Potential: Phases of Stimulation

Action Potential: Phases of Stimulation

The action potential is a complex electrical event that occurs in excitable cells, such as neurons and muscle cells. It consists of several distinct phases, each with specific characteristics.
Resting Phase:
In this phase, the cell's membrane is at its resting potential, typically around -70 millivolts (mV) for neurons. Inside the cell, there is a higher concentration of potassium ions (K+) and a lower concentration of sodium ions (Na+). Voltage-gated sodium channels are closed, and...

Electrophysiology of Normal Cardiac Rhythm

Electrophysiology of Normal Cardiac Rhythm

The normal cardiac rhythm is a synchronized electrical activity that facilitates the regular and coordinated contraction of the heart muscle. This process is essential for efficient blood circulation throughout the body. The fundamental elements involved in establishing and maintaining this rhythm include the unique electrical properties of cardiac muscle cells, the sinoatrial (SA) node's pacemaker function, the specialized conducting system, and the ionic mechanisms underlying each phase...

You might also read

Related Articles

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

Sort by

Same author

Intracranially injected chimeric antigen receptor T cells eradicate glioblastoma cells but have limited potential to persist in the brain in a syngeneic mouse model.

Cancer immunology, immunotherapy : CII·2026

Same author

Development and validation of a machine learning model for predicting intracranial atherosclerotic disease in large vessel occlusion prior to endovascular therapy.

Clinical neurology and neurosurgery·2026

Same author

GH responsiveness to corticotropin-releasing hormone identifies corticotroph-like somatotroph adenomas in acromegaly.

Pituitary·2026

Same author

Ruptured cerebral arteriovenous malformation associated with enlarged parietal foramina: a rare surgical case with pathogenetic implications.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery·2026

Same author

CTA-derived biplane 3D roadmap fusion for catheter navigation in spinal angiography.

Journal of neuroradiology = Journal de neuroradiologie·2026

Same author

Hitting the Sulcus With a More Tangential Angle May Result in Resistance Felt During Implantation of Stereotactic Electroencephalography Electrodes.

Neurosurgery practice·2026

Search research articles

Related Experiment Video

Updated: Sep 27, 2025

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

Abnormal phase-amplitude coupling characterizes the interictal state in epilepsy.

Yuya Fujita^1,2,3, Takufumi Yanagisawa^1,2,3, Ryohei Fukuma^1,2

¹Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan.

Journal of Neural Engineering

|April 6, 2022

Summary

Phase-amplitude coupling (PAC) differs in epilepsy patients during interictal periods. This finding, combined with deep learning, improved epilepsy diagnosis accuracy to 90%, offering a new diagnostic biomarker.

Keywords:

autodiagnosis deep learning epilepsy magnetoencephalography phase–amplitude coupling

More Related Videos

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

Recording and Modulation of Epileptiform Activity in Rodent Brain Slices Coupled to Microelectrode Arrays

Recording and Modulation of Epileptiform Activity in Rodent Brain Slices Coupled to Microelectrode Arrays

Published on: May 15, 2018

Related Experiment Videos

Last Updated: Sep 27, 2025

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

Recording and Modulation of Epileptiform Activity in Rodent Brain Slices Coupled to Microelectrode Arrays

Recording and Modulation of Epileptiform Activity in Rodent Brain Slices Coupled to Microelectrode Arrays

Published on: May 15, 2018

Area of Science:

Neuroscience
Biomedical Engineering
Medical Imaging

Background:

Epilepsy diagnosis relies on subjective visual interpretation of EEG and MEG, hindering standardization.
Automated epilepsy diagnosis methods often combine power and functional connectivity, but the role of phase-amplitude coupling is unexplored.

Purpose of the Study:

To investigate if interictal phase-amplitude coupling (PAC) differs between epilepsy patients and healthy individuals.
To determine if PAC improves the accuracy of epilepsy diagnosis when combined with other features.

Main Methods:

Resting-state MEG and MRI data were acquired from 90 epilepsy patients and 90 healthy controls.
Calculated delta, theta, alpha, beta, and gamma band power, theta band functional connectivity, and PAC using the synchronization index.
Compared PAC values between groups and tested diagnostic discrimination using PAC, power, functional connectivity, and deep learning features.

Main Results:

Significant differences in mean PAC (synchronization index) were observed between epilepsy patients and healthy participants.
The theta/low gamma band pair in the temporal lobe showed the most significant PAC difference.
Combining PAC with deep learning features achieved the highest discrimination accuracy of 90%.

Conclusions:

Abnormal interictal PAC is a characteristic feature distinguishing epilepsy patients from healthy individuals.
PAC shows potential as a novel biomarker for improving epilepsy diagnosis and discrimination.