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

Author:

Qin Yun12ORCID,Jiang Sisi1,Xiong Siwei1,Li Sipei3,Fu Qiankun3,Yang Lili4ORCID,Du Peishan4,Luo Cheng1,Yao Dezhong12

Affiliation:

1. The 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

2. Sichuan Institute for Brain Science and Brain‐Inspired Intelligence Chengdu China

3. Glasgow College University of Electronic Science and Technology of China Chengdu China

4. Sichuan Provincial People's Hospital University of Electronic Science and Technology of China Chengdu China

Abstract

AbstractWorking memory (WM) is a cognitive function involving emergent properties of theta oscillations and large‐scale network interactions. The synchronization of WM task‐related networks in the brain enhanced WM performance. However, how these networks regulate WM processing is not well known, and the alteration of the interaction among these networks may play an important role in patients with cognitive dysfunction. In this study, we used simultaneous EEG‐fMRI to examine the features of theta oscillations and the functional interactions among activation/deactivation networks during the n‐back WM task in patients with idiopathic generalized epilepsy (IGE). The results showed that there was more enhancement of frontal theta power along with WM load increase in IGE, and the theta power was positively correlated with the accuracy of the WM tasks. Moreover, fMRI activations/deactivations correlated with n‐back tasks were estimated, and we found that the IGE group had increased and widespread activations in high‐load WM tasks, including the frontoparietal activation network and task‐related deactivation areas, such as the default mode network and primary visual and auditory networks. In addition, the network connectivity results demonstrated decreased counteraction between the activation network and deactivation network, and the counteraction was correlated with the higher theta power in IGE. These results indicated the important role of the interactions between activation and deactivation networks during the WM process, and the unbalance among them may indicate the pathophysiological mechanism of cognitive dysfunction in generalized epilepsy.

Publisher

Wiley

Subject

Cellular and Molecular Neuroscience

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