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Related Experiment Video

Updated: Sep 16, 2025

Disruption of Frontal Lobe Neural Synchrony During Cognitive Control by Alcohol Intoxication

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Published on: February 6, 2019

Differences between coherence and phase locking value during the Stroop task in athletes.

Hasan Batuhan Dirik¹

¹Lokman Hekim University, Faculty of Sports Sciences, Ankara, Turkey.

Neuroscience Letters

|July 10, 2025

Summary

Coherence and phase-locking value (PLV) offer distinct insights into brain activity during cognitive tasks. This EEG study found coherence higher in beta bands, while PLV showed differences in theta and alpha bands, revealing method-dependent outcomes.

Keywords:

Connectivity Electroencephalography Neurodynamics Synchronization

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Area of Science:

Neuroscience
Cognitive Science
Biomedical Engineering

Background:

Electroencephalography (EEG) is crucial for studying brain activity.
Analyzing EEG connectivity requires understanding different metrics like coherence and phase-locking value (PLV).
The Stroop task is a standard paradigm for assessing cognitive control and executive functions.

Purpose of the Study:

To compare coherence and phase-locking value (PLV) as EEG connectivity measures.
To investigate how these measures differ in analyzing brain activity during a Stroop task.
To evaluate the reliability of coherence and PLV across different frequency bands.

Main Methods:

EEG data were collected from 20 athletes performing a Stroop task with congruent and incongruent stimuli.
Two-way ANOVA was employed to compare coherence and PLV.
Intra-class correlation coefficient (ICC) assessed the reliability of these measures.

Main Results:

Coherence values were significantly higher than PLV in beta frequency bands.
Coherence values were lower than PLV in theta and alpha frequency bands.
Intra-class correlation coefficient analysis revealed variability in the reliability of EEG connectivity measures across frequency bands.

Conclusions:

Coherence and PLV provide distinct and complementary information about neural connectivity.
The choice of connectivity measure (coherence vs. PLV) influences the interpretation of EEG data.
Understanding these differences is essential for accurate analysis of brain function using EEG.