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

Arteries of the Lower Limbs

Arteries of the Lower Limbs

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...

You might also read

Related Articles

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

Sort by

Same author

Quantifying cognitive effort's impact on suppression of epilepsy-associated after discharges.

Frontiers in network physiology·2026

Same author

Anti-Seizure Medications Alter Functional and Effective Connectivity as Measured With Intracranial Electroencephalography.

Brain and behavior·2026

Same author

Artificial intelligence for adaptive neuromodulation in drug-resistant epilepsy.

Epilepsia·2026

Same author

Trends in Industry-Sponsored Research Payments and General Payments to Neurologists: Open Payments Program 2015-2023.

Neurology. Clinical practice·2026

Same author

Point-of-care electroencephalography for prediction of postoperative delirium in older adults undergoing elective surgery: protocol for a prospective cohort study.

Biology methods & protocols·2026

Same author

Detrended Fluctuation Analysis to Assess Long-Range Temporal Correlations in EEG from SYNGAP1-Related Disorder.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Search research articles

Related Experiment Video

Updated: May 24, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

Patient-Specific Electrical Stimulation to Effectively Suppress Seizures using a Data-Driven Dynamical Network Model.

Emily A Reed, Rachel June Smith, Joon Y Kang

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|March 5, 2025

Summary

This summary is machine-generated.

This study introduces a patient-specific method using cortico-cortical evoked potentials (CCEPs) to identify optimal neurostimulation sites and signals for epilepsy seizure suppression. The data-driven approach significantly reduces seizure activity in silico.

More Related Videos

Using a Bipolar Electrode to Create a Temporal Lobe Epilepsy Mouse Model by Electrical Kindling of the Amygdala

Using a Bipolar Electrode to Create a Temporal Lobe Epilepsy Mouse Model by Electrical Kindling of the Amygdala

Published on: June 29, 2022

Generation and On-Demand Initiation of Acute Ictal Activity in Rodent and Human Tissue

Generation and On-Demand Initiation of Acute Ictal Activity in Rodent and Human Tissue

Published on: January 19, 2019

Related Experiment Videos

Last Updated: May 24, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

Using a Bipolar Electrode to Create a Temporal Lobe Epilepsy Mouse Model by Electrical Kindling of the Amygdala

Using a Bipolar Electrode to Create a Temporal Lobe Epilepsy Mouse Model by Electrical Kindling of the Amygdala

Published on: June 29, 2022

Generation and On-Demand Initiation of Acute Ictal Activity in Rodent and Human Tissue

Generation and On-Demand Initiation of Acute Ictal Activity in Rodent and Human Tissue

Published on: January 19, 2019

Area of Science:

Neuroscience
Biomedical Engineering
Computational Medicine

Background:

Epilepsy affects millions, with many experiencing medically refractory epilepsy unresponsive to medication.
Electrical stimulation therapy offers an alternative, but optimal stimulation parameters (location, signal) are challenging to determine.
Current trial-and-error methods for neurostimulation are inefficient and invasive.

Purpose of the Study:

To develop a data-driven, patient-specific method for optimizing neurostimulation parameters to suppress seizures.
To identify the most effective stimulation location and signal design for refractory epilepsy.
To leverage cortico-cortical evoked potentials (CCEPs) for personalized epilepsy treatment.

Main Methods:

Constructed transfer function models from patient CCEPs recordings.
Analyzed Bode plots to identify frequencies minimizing signal magnitude in seizure onset zone (SOZ) channels.
Utilized a data-driven approach for patient-specific stimulation parameter determination.

Main Results:

Demonstrated significant signal suppression within the clinically annotated SOZ channels.
Achieved up to 81% signal suppression in silico using the developed method.
Validated the efficacy of the data-driven approach for targeted neurostimulation.

Conclusions:

The proposed method offers a novel, patient-specific strategy for effective neurostimulation in medically refractory epilepsy.
This approach provides a foundation for improving seizure suppression and patient quality of life.
Future clinical validation is planned to translate these findings into practice.