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Published on: December 18, 2016
Decreased Network Efficiency in Benign Epilepsy with Centrotemporal Spikes
Gong-Jun Ji1, Yang Yu1, Huan-Huan Miao1
1From the Laboratory of Cognitive Neuropsychology, Department of Medical Psychology, Anhui Medical University, Hefei, China (G.J.J.); Collaborative Innovation Centre of Neuropsychiatric Disorders and Mental Health, Anhui Province, China (G.J.J.); Department of Psychology, School of Education (G.J.J., H.H.M., W.L.), and Center for Cognition and Brain Disorders and the Affiliated Hospital (G.J.J., H.H.M., W.L.), Hangzhou Normal University, Hangzhou, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China (G.J.J., H.H.M., W.L.); Departments of Psychiatry (Y.Y.) and Neurology (Z.J.W., Y.L.T.), the Second Affiliated Hospital of Medial College, Zhejiang University, Zhejiang, China; and Center for Information in BioMedicine, Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China (W.L.).
Children with benign epilepsy with centrotemporal spikes exhibit reduced global and regional brain network efficiency. These functional deficits are detectable using resting-state functional MRI, regardless of interictal epileptic discharges (IEDs).
Area of Science:
- Neuroscience
- Radiology
- Epilepsy Research
Background:
- Benign epilepsy with centrotemporal spikes (BECTS) is a common childhood epilepsy syndrome.
- Understanding the underlying functional brain network alterations in BECTS is crucial for diagnosis and management.
- Resting-state functional magnetic resonance imaging (fMRI) offers a non-invasive method to assess brain connectivity.
Purpose of the Study:
- To investigate functional connectome alterations in children with BECTS.
- To examine the impact of interictal epileptic discharges (IEDs) on these functional connectome changes.
- To correlate functional network abnormalities with clinical characteristics of BECTS.
Main Methods:
- Prospective study involving 43 right-handed patients with BECTS, categorized into IED and non-IED groups.
- Simultaneous resting-state fMRI and electroencephalography (EEG) recorded at 3.0 T.
- Graph theoretical analysis applied to functional connectome features, compared with 28 age- and sex-matched controls.
Main Results:
- Both BECTS patient groups (with and without IEDs) demonstrated decreased global network efficiency compared to controls.
- Reduced regional efficiency and connectivity strength were observed in perirolandic and frontal areas in BECTS patients versus controls.
- Altered functional network features correlated significantly with disease duration and age at symptom onset.
Conclusions:
- Decreased global and regional network efficiency are prominent functional deficits in children with BECTS.
- These functional brain network alterations are detectable via resting-state fMRI, irrespective of IED presence.
- Resting-state fMRI is a valuable tool for identifying functional brain deficits in BECTS.
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