Altered functional connectivity among default, attention, and control networks in idiopathic generalized epilepsy.
Numerous resting-state fMRI studies have demonstrated altered functional connectivity within canonical intrinsic connectivity networks (ICNs) in patients with idiopathic generalized epilepsy (IGE). It is possible that the widespread ICN abnormalities on electroencephalography in IGE derive from abnormal functional interactions between ICNs. To test this possibility, we explored the functional connectivity between the subnetworks of the default mode network (DMN), attention network (ATN), and frontoparietal control network (FPN) using independent component analysis of resting-state fMRI data collected from 27 patients with IGE characterized by generalized tonic-clonic seizures (GTCS) and 29 matched healthy controls. It was observed that the left FPN exhibited increased connectivity with the anterior DMN and ventral ATN, while the right FPN exhibited increased connectivity with the anterior and posterior DMNs in the patients with IGE-GTCS. Furthermore, the functional connectivity between the anterior DMN and ventral ATN was negative in healthy controls but positive in the patients with IGE-GTCS. In addition, the anterior DMN exhibited increased intranetwork functional connectivity in the right frontal pole in IGE-GTCS. These findings suggest that IGE-GTCS is likely associated with a disrupted brain organization probably derived from abnormal functional interactions among ICNs. Furthermore, the alterations in the functional architecture of the ICNs may be related to deficits in mentation and attention in IGE-GTCS, providing informative evidence for the understanding of the pathophysiology of IGE-GTCS.
College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, People's Republic of China.
H L
HL
Wei
Department of Medical Imaging, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
J
J
An
College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, People's Republic of China.
L L
LL
Zeng
College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, People's Republic of China.
H
H
Shen
Department of Medical Imaging, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China. Electronic address: qiu-sj@163.com.
S J
SJ
Qiu
College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, People's Republic of China. Electronic address: dwhu@nudt.edu.cn.
D W
DW
Hu
D000328:Adult; D001288:Attention / Q000502:physiology*; D001921:Brain / Q000503:physiopathology; D001931:Brain Mapping / Q000379:methods*; D004829:Epilepsy, Generalized / Q000503:physiopathology*; D056344:Executive Function / Q000502:physiology*; D005260:Female; D005625:Frontal Lobe / Q000503:physiopathology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D009415:Nerve Net / Q000503:physiopathology*; D010296:Parietal Lobe / Q000503:physiopathology*; D055815:Young Adult
Attention network; Default mode network; Frontoparietal control network; Functional connectivity; Idiopathic generalized epilepsy; Independent component analysis