Resting state basal ganglia network in idiopathic generalized epilepsy

Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Human Brain Mapping (Impact Factor: 5.97). 04/2011; 33(6):1279-94. DOI: 10.1002/hbm.21286
Source: PubMed


The basal ganglia, a brain structure related to motor control, is implicated in the modulation of epileptic discharges generalization in patients with idiopathic generalized epilepsy (IGE). Using group independent component analysis (ICA) on resting-state fMRI data, this study identified a resting state functional network that predominantly consisted of the basal ganglia in both healthy controls and patients with IGE. In order to gain a better understanding of the basal ganglia network(BGN) in IGE patients, we compared the BGN functional connectivity of controls with that of epilepsy patients, either with interictal epileptic discharges (with-discharge period, WDP) or without epileptic discharge (nondischarge period, NDP) while scanning. Compared with controls, functional connectivity of BGN in IGE patients demonstrated significantly more integration within BGN except cerebellum and supplementary motor area (SMA) during both periods. Compared with the NDP group, the increased functional connectivity was found in bilateral caudate nucleus and the putamen, and decreases were observed in the bilateral cerebellum and SMA in WDP group. In accord with the proposal that the basal ganglia modulates epileptic discharge activity, the results showed that the modulation enhanced the integration in BGN of patients, and modulation during WDP was stronger than that during NDP. Furthermore, reduction of functional connectivity in cerebellum and SMA, the abnormality might be further aggravated during WDP, was consistent with the behavioral manifestations with disturbed motor function in IGE. These resting-state fMRI findings in the current study provided evidence confirming the role of the BGN as an important modulator in IGE.

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Available from: Cheng Luo, Sep 30, 2015
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    • "Resting state fMRI studies have extensively investigated DMN and have consistently reported abnormal connectivity within the DMN and between the DMN and epileptogenic regions in focal epilepsies (92–98) and IGE (49, 50, 85, 92, 99–102). The most common finding is a decrease in the connectivity within DMN and between the epileptogenic regions with DMN. "
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    ABSTRACT: There is a growing body of evidence pointing towards large scale networks underlying the core phenomena in epilepsy, from seizure generation to cognitive dysfunction or response to treatment. The investigation of networks in epilepsy has become a key concept to unlock a deeper understanding of the disease. Functional imaging can provide valuable information to characterise network dysfunction; in particular resting state fMRI (RS-fMRI) which is increasingly being applied to study brain networks in a number of diseases. In patients with epilepsy, network connectivity derived from RS- fMRI has found connectivity abnormalities in a number of networks; these include the epileptogenic, cognitive and sensory processing networks. However, in majority of these studies, the effect of epileptic transients in the connectivity of networks has been neglected.EEG-fMRI has frequently shown networks related to epileptic transients that in many cases are concordant with the abnormalities shown in RS studies. This points towards a relevant role of epileptic transients in the network abnormalities detected in RS-fMRI studies.In this review, we summarize the network abnormalities reported by these two techniques side by side, provide evidence of their overlapping findings, and discuss their significance in the context of the methodology of each technique.A number of clinically relevant factors that have been associated with connectivity changes are in turn associated with changes in the frequency of epileptic transients. These factors include different aspects of epilepsy ranging from treatment effects, cognitive processes or transition between different alertness states (i.e. awake-sleep transition).For RS-fMRI to become a more effective tool to investigate clinically relevant aspects of epilepsy it is necessary to understand connectivity changes associated with epileptic transients, those associated with other clinically relevant factors and the interaction between them wh
    Frontiers in Neurology 07/2014; 5:93. DOI:10.3389/fneur.2014.00093
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    • "Twenty-one 10–20 canonical electrode montage used for network analysis. have different connectivity than normal individuals [20], [21]; these alterations suggest the potential to classify patients with epilepsy using brain network information. Considering that the main challenge for PNES discrimination is that the differences in network statistical properties between PNES and other types of epilepsy are minor, we present a new method, SPN, to further extract the implicit information contained in the spatial topology of the brain network. "
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    ABSTRACT: Discriminating psychogenic nonepileptic seizures (PNES) from epilepsy is challenging, and a reliable and automatic classification remains elusive. In this study, we develop an approach for discriminating between PNES and epilepsy using the common spatial pattern extracted from the brain network topology (SPN). The study reveals that 92% accuracy, 100% sensitivity, and 80% specificity were reached for the classification between PNES and focal epilepsy. The newly developed SPN of resting EEG may be a promising tool to mine implicit information that can be used to differentiate PNES from epilepsy.
    IEEE transactions on bio-medical engineering 06/2014; 61(6):1747-55. DOI:10.1109/TBME.2014.2305159 · 2.35 Impact Factor
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    • "Similar to the approaches in our previous study [25], we first conducted spatial group ICA to identify the SN, using the GIFT software (, version 2.0a) [26]. "
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    ABSTRACT: Intrinsic connectivity analysis provides an original way for evaluating functional impairments in epilepsy. Disturbances in Salience Network(SN) has been posit an important interplay in disorders of consciousness and attention. This study aims to assess the intrinsic connectivity of SN in childhood absence epilepsy(CAE). Resting state fMRI was performed in 21 patients with CAE and 21 healthy controls. SN was extracted using group independent component analysis with dual-regression. Intrinsic functional integration was evaluated through voxelwise comparisons between patients and controls. Patients showed a decreased functional integration of the SN in the right anterior insula, anterior temporoparietal junction, and bilateral dorsal lateral frontal cortex, and increased connectivity in the anterior and middle cingulate gyrus and caudate nuclei. A leftward lateralization was observed in anterior insula and anterior temporoparietal junction in CAE. Moreover, the lateralized index in anterior insula was significantly correlated to the duration of epilepsy. These results support that the disturbance of intrinsic activity in SN may be linked to the interruption of salient information processing and associated with the attentional dysfunction in CAE. Our findings demonstrate the potential value of intrinsic activity in SN for the investigation of attention process and may help to better understand the association between intrinsic activity in SN and consciousness.
    Journal of the neurological sciences 04/2014; 339(1-2). DOI:10.1016/j.jns.2014.02.016 · 2.47 Impact Factor
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