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Clin Neurophysiol. 2019 Dec 6;131(2):377-384. doi: 10.1016/j.clinph.2019.11.021. [Epub ahead of print]

Altered effective connectivity network in patients with insular epilepsy: A high-frequency oscillations magnetoencephalography study.

Author information

1
Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Department of Neurology, Hebei Medical University, Shijiazhuang 050017, China; Department of Neurology, Tangshan Gongren Hospital, Tangshan 063000, China.
2
Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Beijing Key Laboratory of Neuromodulation, Beijing 100053, China; Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing 100053, China.
3
MEG Center, Division of Neurology, Cincinnati Children's Hospital, Medical Center, Cincinnati, OH 45220, USA.
4
Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
5
Department of Neurology, Hebei Medical University, Shijiazhuang 050017, China; Department of Neurology, Hebei General Hospital, Shijiazhuang 050051, China.
6
Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Beijing Key Laboratory of Neuromodulation, Beijing 100053, China; Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing 100053, China. Electronic address: doctorwangyuping@163.com.

Abstract

OBJECTIVE:

The project aimed to determine the alterations in the effective connectivity (EC) neural network in patients with insular epilepsy based on interictal high-frequency oscillations (HFOs) from magnetoencephalography (MEG) data.

METHODS:

We studied MEG data from 22 insular epilepsy patients and 20 normal subjects. Alterations in spatial pattern and connection properties of the patients with insular epilepsy were investigated in the entire brain network and insula-based network.

RESULTS:

Analyses of the parameters of graph theory revealed the over-connectivity and small-world configuration of the global connectivity patterns observed in the patients. In the insula-based network, the insular cortex ipsilateral to the seizure onset displayed increased efferent and afferentEC. Left insular epilepsy featured strong connectivity with the bilateral hemispheres, whereas right insular epilepsy featured increased connectivity with only the ipsilateral hemisphere.

CONCLUSIONS:

Patients with insular epilepsy display alterations in the EC network in terms of both whole-brain connectivity and the insula-based network during interictal HFOs.

SIGNIFICANCE:

Alterations of interictal HFO-based networks provide evidence that epilepsy networks, instead of epileptic foci, play a key role in the complex pathophysiological mechanisms of insular epilepsy. The dysfunction of HFO networks may prove to be a novel promising biomarker and the cause of interictal brain dysfunctions in insular epilepsy.

KEYWORDS:

Effective connectivity; Graph theory; Insular epilepsy; Magnetoencephalography; Ripples

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