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Updated: Sep 26, 2025

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Published on: August 17, 2018
Phase-amplitude coupling between low-frequency scalp EEG and high-frequency intracranial EEG during working memory
Huanpeng Ye1, Guangye Li1, Xinjun Sheng1
1State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
This study shows that high-frequency brain activity in deep brain regions can be detected using scalp electroencephalography (EEG). This non-invasive method reveals neural interactions during working memory tasks.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Cognitive Science
Background:
- Simultaneous scalp electroencephalography (EEG) and intracranial electroencephalography (iEEG) are crucial for understanding brain function.
- The relationship between prominent iEEG high-gamma band features and scalp EEG remains largely uninvestigated.
Purpose of the Study:
- To investigate phase-amplitude coupling (PAC) between low-frequency scalp EEG and high-gamma iEEG.
- To determine if high-frequency iEEG activity can be reflected by non-invasive scalp EEG.
Main Methods:
- Analysis of simultaneous iEEG and scalp EEG data from nine epilepsy patients during a verbal working memory task.
- Exploration of PAC values between scalp EEG channels and iEEG channels.
- Comparison of PAC values across different task periods (encoding, maintenance, retrieval) and memory loads.
Main Results:
- High-gamma amplitude in the entorhinal cortex, hippocampus, and amygdala correlated with delta or theta phase at scalp locations (Cz, Pz).
- Maximum PAC occurred between 3.16-3.84 Hz (phase) and 50-85 Hz (amplitude).
- PAC values were significantly higher during retrieval than encoding or maintenance and were influenced by memory load.
Conclusions:
- This is the first human study demonstrating PAC between iEEG high-gamma amplitude and scalp EEG low-frequency phase.
- Findings enhance understanding of multiscale neural interactions in working memory.
- Provides a non-invasive method to estimate intracranial high-frequency features.
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