Widely Impaired White Matter Integrity and Altered Structural Brain Networks in Psychogenic Non-Epileptic Seizures

Daichi Sone,1 Noriko Sato,2 Miho Ota,3 Yukio Kimura,2 Hiroshi Matsuda1 1Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan; 2Department of Radiology, National Center of Neurology and Psychiatry, Tokyo, Japan; 3Department of Neuropsychiatry, Division of Clinic...

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Autores principales:	Sone D, Sato N, Ota M, Kimura Y, Matsuda H
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2019
Materias:	diffusion tensor imaging brain structural networks graph theory psychogenic non-epileptic seizures magnetic resonance imaging Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/61a1e7ec9c50412784b73a10b56e2c4c
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spelling	oai:doaj.org-article:61a1e7ec9c50412784b73a10b56e2c4c2021-12-02T02:59:01ZWidely Impaired White Matter Integrity and Altered Structural Brain Networks in Psychogenic Non-Epileptic Seizures1178-2021https://doaj.org/article/61a1e7ec9c50412784b73a10b56e2c4c2019-12-01T00:00:00Zhttps://www.dovepress.com/widely-impaired-white-matter-integrity-and-altered-structural-brain-ne-peer-reviewed-article-NDThttps://doaj.org/toc/1178-2021Daichi Sone,1 Noriko Sato,2 Miho Ota,3 Yukio Kimura,2 Hiroshi Matsuda1 1Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan; 2Department of Radiology, National Center of Neurology and Psychiatry, Tokyo, Japan; 3Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, JapanCorrespondence: Daichi SoneNational Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo 187-8551, JapanTel +81-042-341-2711Fax +81-042-344-6745Email daichisone@gmail.comObjective: The underlying neural correlates of psychogenic non-epileptic seizures (PNES) are still unknown and their identification would be helpful for clinicians and patients. This study aimed to reveal details of white matter microstructure and alterations in brain structural networks in patients with PNES by using diffusion tensor imaging (DTI) and graph theoretical connectivity analysis.Methods: Seventeen patients with PNES and 26 age- and sex-matched healthy controls were enrolled. All participants underwent DTI on a 3.0-T MRI scanner, and fractional anisotropy (FA) and mean diffusivity (MD) maps were compared by tract-based spatial statistics. Additionally, the structural networks derived from DTI data were analyzed using graph theory and two different parcellation schemes.Results: Patients with PNES showed widespread decreases in FA and increases in MD, particularly in the deep white matter. In addition, graph theoretical analysis revealed impaired brain networks in PNES, including increased path length, decreased network efficiency, altered nodal topology, and reduced regional connectivity in the right posterior areas.Conclusion: We found widely impaired white matter integrity and impaired brain structural networks in Japanese patients with PNES. These findings contribute to the accumulation of evidence on PNES and may improve understanding of this condition.Keywords: diffusion tensor imaging, brain structural networks, graph theory, psychogenic non-epileptic seizures, magnetic resonance imagingSone DSato NOta MKimura YMatsuda HDove Medical Pressarticlediffusion tensor imagingbrain structural networksgraph theorypsychogenic non-epileptic seizuresmagnetic resonance imagingNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol Volume 15, Pp 3549-3555 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	diffusion tensor imaging brain structural networks graph theory psychogenic non-epileptic seizures magnetic resonance imaging Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
spellingShingle	diffusion tensor imaging brain structural networks graph theory psychogenic non-epileptic seizures magnetic resonance imaging Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 Sone D Sato N Ota M Kimura Y Matsuda H Widely Impaired White Matter Integrity and Altered Structural Brain Networks in Psychogenic Non-Epileptic Seizures
description	Daichi Sone,1 Noriko Sato,2 Miho Ota,3 Yukio Kimura,2 Hiroshi Matsuda1 1Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan; 2Department of Radiology, National Center of Neurology and Psychiatry, Tokyo, Japan; 3Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, JapanCorrespondence: Daichi SoneNational Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo 187-8551, JapanTel +81-042-341-2711Fax +81-042-344-6745Email daichisone@gmail.comObjective: The underlying neural correlates of psychogenic non-epileptic seizures (PNES) are still unknown and their identification would be helpful for clinicians and patients. This study aimed to reveal details of white matter microstructure and alterations in brain structural networks in patients with PNES by using diffusion tensor imaging (DTI) and graph theoretical connectivity analysis.Methods: Seventeen patients with PNES and 26 age- and sex-matched healthy controls were enrolled. All participants underwent DTI on a 3.0-T MRI scanner, and fractional anisotropy (FA) and mean diffusivity (MD) maps were compared by tract-based spatial statistics. Additionally, the structural networks derived from DTI data were analyzed using graph theory and two different parcellation schemes.Results: Patients with PNES showed widespread decreases in FA and increases in MD, particularly in the deep white matter. In addition, graph theoretical analysis revealed impaired brain networks in PNES, including increased path length, decreased network efficiency, altered nodal topology, and reduced regional connectivity in the right posterior areas.Conclusion: We found widely impaired white matter integrity and impaired brain structural networks in Japanese patients with PNES. These findings contribute to the accumulation of evidence on PNES and may improve understanding of this condition.Keywords: diffusion tensor imaging, brain structural networks, graph theory, psychogenic non-epileptic seizures, magnetic resonance imaging
format	article
author	Sone D Sato N Ota M Kimura Y Matsuda H
author_facet	Sone D Sato N Ota M Kimura Y Matsuda H
author_sort	Sone D
title	Widely Impaired White Matter Integrity and Altered Structural Brain Networks in Psychogenic Non-Epileptic Seizures
title_short	Widely Impaired White Matter Integrity and Altered Structural Brain Networks in Psychogenic Non-Epileptic Seizures
title_full	Widely Impaired White Matter Integrity and Altered Structural Brain Networks in Psychogenic Non-Epileptic Seizures
title_fullStr	Widely Impaired White Matter Integrity and Altered Structural Brain Networks in Psychogenic Non-Epileptic Seizures
title_full_unstemmed	Widely Impaired White Matter Integrity and Altered Structural Brain Networks in Psychogenic Non-Epileptic Seizures
title_sort	widely impaired white matter integrity and altered structural brain networks in psychogenic non-epileptic seizures
publisher	Dove Medical Press
publishDate	2019
url	https://doaj.org/article/61a1e7ec9c50412784b73a10b56e2c4c
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Widely Impaired White Matter Integrity and Altered Structural Brain Networks in Psychogenic Non-Epileptic Seizures

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