Altered functional and structural connectivity networks in psychogenic non-epileptic seizures.

Psychogenic non-epileptic seizures (PNES) are paroxysmal behaviors that resemble epileptic seizures but lack abnormal electrical activity. Recent studies suggest aberrant functional connectivity involving specific brain regions in PNES. Little is known, however, about alterations of topological orga...

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Main Authors: Ju-Rong Ding, Dongmei An, Wei Liao, Jinmei Li, Guo-Rong Wu, Qiang Xu, Zhiliang Long, Qiyong Gong, Dong Zhou, Olaf Sporns, Huafu Chen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3661726?pdf=render
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author Ju-Rong Ding
Dongmei An
Wei Liao
Jinmei Li
Guo-Rong Wu
Qiang Xu
Zhiliang Long
Qiyong Gong
Dong Zhou
Olaf Sporns
Huafu Chen
author_facet Ju-Rong Ding
Dongmei An
Wei Liao
Jinmei Li
Guo-Rong Wu
Qiang Xu
Zhiliang Long
Qiyong Gong
Dong Zhou
Olaf Sporns
Huafu Chen
author_sort Ju-Rong Ding
collection DOAJ
description Psychogenic non-epileptic seizures (PNES) are paroxysmal behaviors that resemble epileptic seizures but lack abnormal electrical activity. Recent studies suggest aberrant functional connectivity involving specific brain regions in PNES. Little is known, however, about alterations of topological organization of whole-brain functional and structural connectivity networks in PNES. We constructed functional connectivity networks from resting-state functional MRI signal correlations and structural connectivity networks from diffusion tensor imaging tractography in 17 PNES patients and 20 healthy controls. Graph theoretical analysis was employed to compute network properties. Moreover, we investigated the relationship between functional and structural connectivity networks. We found that PNES patients exhibited altered small-worldness in both functional and structural networks and shifted towards a more regular (lattice-like) organization, which could serve as a potential imaging biomarker for PNES. In addition, many regional characteristics were altered in structural connectivity network, involving attention, sensorimotor, subcortical and default-mode networks. These regions with altered nodal characteristics likely reflect disease-specific pathophysiology in PNES. Importantly, the coupling strength of functional-structural connectivity was decreased and exhibited high sensitivity and specificity to differentiate PNES patients from healthy controls, suggesting that the decoupling strength of functional-structural connectivity might be an important characteristic reflecting the mechanisms of PNES. This is the first study to explore the altered topological organization in PNES combining functional and structural connectivity networks, providing a new way to understand the pathophysiological mechanisms of PNES.
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spelling doaj.art-4bed6e0084654df5bc1ef36ef724fa092022-12-21T18:48:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0185e6385010.1371/journal.pone.0063850Altered functional and structural connectivity networks in psychogenic non-epileptic seizures.Ju-Rong DingDongmei AnWei LiaoJinmei LiGuo-Rong WuQiang XuZhiliang LongQiyong GongDong ZhouOlaf SpornsHuafu ChenPsychogenic non-epileptic seizures (PNES) are paroxysmal behaviors that resemble epileptic seizures but lack abnormal electrical activity. Recent studies suggest aberrant functional connectivity involving specific brain regions in PNES. Little is known, however, about alterations of topological organization of whole-brain functional and structural connectivity networks in PNES. We constructed functional connectivity networks from resting-state functional MRI signal correlations and structural connectivity networks from diffusion tensor imaging tractography in 17 PNES patients and 20 healthy controls. Graph theoretical analysis was employed to compute network properties. Moreover, we investigated the relationship between functional and structural connectivity networks. We found that PNES patients exhibited altered small-worldness in both functional and structural networks and shifted towards a more regular (lattice-like) organization, which could serve as a potential imaging biomarker for PNES. In addition, many regional characteristics were altered in structural connectivity network, involving attention, sensorimotor, subcortical and default-mode networks. These regions with altered nodal characteristics likely reflect disease-specific pathophysiology in PNES. Importantly, the coupling strength of functional-structural connectivity was decreased and exhibited high sensitivity and specificity to differentiate PNES patients from healthy controls, suggesting that the decoupling strength of functional-structural connectivity might be an important characteristic reflecting the mechanisms of PNES. This is the first study to explore the altered topological organization in PNES combining functional and structural connectivity networks, providing a new way to understand the pathophysiological mechanisms of PNES.http://europepmc.org/articles/PMC3661726?pdf=render
spellingShingle Ju-Rong Ding
Dongmei An
Wei Liao
Jinmei Li
Guo-Rong Wu
Qiang Xu
Zhiliang Long
Qiyong Gong
Dong Zhou
Olaf Sporns
Huafu Chen
Altered functional and structural connectivity networks in psychogenic non-epileptic seizures.
PLoS ONE
title Altered functional and structural connectivity networks in psychogenic non-epileptic seizures.
title_full Altered functional and structural connectivity networks in psychogenic non-epileptic seizures.
title_fullStr Altered functional and structural connectivity networks in psychogenic non-epileptic seizures.
title_full_unstemmed Altered functional and structural connectivity networks in psychogenic non-epileptic seizures.
title_short Altered functional and structural connectivity networks in psychogenic non-epileptic seizures.
title_sort altered functional and structural connectivity networks in psychogenic non epileptic seizures
url http://europepmc.org/articles/PMC3661726?pdf=render
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