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Related Experiment Video

Updated: Aug 8, 2025

Equipment Setup and Artifact Removal for Simultaneous Electroencephalogram and Functional Magnetic Resonance Imaging for Clinical Review in Epilepsy

Equipment Setup and Artifact Removal for Simultaneous Electroencephalogram and Functional Magnetic Resonance Imaging for Clinical Review in Epilepsy

Published on: June 23, 2023

Unbalance between working memory task-activation and task-deactivation networks in epilepsy: Simultaneous EEG-fMRI

Yun Qin^1,2, Sisi Jiang¹, Siwei Xiong¹

¹The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.

Journal of Neuroscience Research

|March 3, 2023

Summary

Working memory (WM) performance is linked to brain network synchronization. In idiopathic generalized epilepsy (IGE), altered interactions between brain activation and deactivation networks may underlie cognitive dysfunction.

Keywords:

activation network deactivation network simultaneous EEG-fMRI theta oscillation working memory

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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

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Published on: August 5, 2014

Area of Science:

Neuroscience
Cognitive Science
Epilepsy Research

Background:

Working memory (WM) relies on theta oscillations and large-scale brain network interactions.
Synchronization of WM networks enhances cognitive performance.
Dysfunctional network interactions are implicated in cognitive deficits, particularly in epilepsy.

Purpose of the Study:

To investigate theta oscillations and functional interactions between activation/deactivation networks during n-back WM tasks in patients with idiopathic generalized epilepsy (IGE).
To explore the relationship between these neural features and WM performance in IGE.

Main Methods:

Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) were employed.
Analysis focused on theta oscillations and functional connectivity during an n-back WM task.
Participants included patients with IGE and controls.

Main Results:

Patients with IGE showed enhanced frontal theta power with increasing WM load, positively correlating with task accuracy.
The IGE group exhibited widespread brain activation increases in high-load WM tasks, including frontoparietal networks and task-related deactivation areas (default mode, visual, auditory networks).
Decreased counteraction between activation and deactivation networks was observed in IGE, correlating with higher theta power.

Conclusions:

Interactions between activation and deactivation networks are crucial for WM processing.
An imbalance in these network interactions may represent a key pathophysiological mechanism for cognitive dysfunction in generalized epilepsy.
Findings highlight the role of neural network dynamics in WM deficits in IGE.