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Related Experiment Video

Updated: Jan 17, 2026

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

Methodologies to detect cortico-cortical evoked potentials: a systematic review.

Tamara Al-Sadek^1,2,3, Aryan Wadhwa^2,3, Millen Wadhwa^2,3

¹Department of Electrical and Computer Engineering, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut, Lebanon.

Frontiers in Human Neuroscience

|September 17, 2025

Summary

Cortico-cortical evoked potentials (CCEPs) lack standardized detection methods, with many studies omitting details. Data-driven approaches are recommended for improved quantification in brain connectivity research.

Keywords:

CCEP detection ECoG SEEG cortico-cortical evoked potentials epilepsy functional connectivity single pulse electrical stimulation

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Published on: January 11, 2016

Area of Science:

Neuroscience
Electrophysiology
Brain Connectivity

Background:

Cortico-cortical evoked potentials (CCEPs) reveal functional connectivity between brain regions.
Current methods for defining and measuring CCEPs lack standardization.
Understanding CCEP detection is crucial for interpreting brain communication pathways.

Purpose of the Study:

To systematically review CCEP detection methodologies in published literature.
To identify commonalities, gaps, and trends in CCEP detection approaches.
To evaluate the prevalence of different detection techniques and their reporting.

Main Methods:

Systematic literature review of CCEP detection methods.
Data extraction on study demographics, stimulation parameters, recording techniques, and detection approaches.
Analysis of 187 studies, with detailed review of 72 studies involving 3,424 patients.

Main Results:

Over 50% of studies failed to describe their CCEP detection method.
Threshold-based detection was most common (68.1%), followed by statistical testing (16.7%).
Data-driven and frequency-based methods were used in only 4.1% of studies each.

Conclusions:

Significant lack of consensus exists in CCEP detection methodologies.
Many studies rely on threshold-based methods, potentially limiting accuracy.
Future research should prioritize data-driven approaches for robust CCEP quantification.