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Functional neuroimaging abnormalities in idiopathic generalized epilepsy
Magnetic resonance imaging (MRI) techniques have been used to quantitatively assess focal and network abnormalities. Idiopathic generalized epilepsy (IGE) is characterized by bilateral synchronous spike–wave discharges on electroencephalography (EEG) but normal clinical MRI. Dysfunctions involving t...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4221627/ https://www.ncbi.nlm.nih.gov/pubmed/25383319 http://dx.doi.org/10.1016/j.nicl.2014.10.008 |
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author | McGill, Megan L. Devinsky, Orrin Wang, Xiuyuan Quinn, Brian T. Pardoe, Heath Carlson, Chad Butler, Tracy Kuzniecky, Ruben Thesen, Thomas |
author_facet | McGill, Megan L. Devinsky, Orrin Wang, Xiuyuan Quinn, Brian T. Pardoe, Heath Carlson, Chad Butler, Tracy Kuzniecky, Ruben Thesen, Thomas |
author_sort | McGill, Megan L. |
collection | PubMed |
description | Magnetic resonance imaging (MRI) techniques have been used to quantitatively assess focal and network abnormalities. Idiopathic generalized epilepsy (IGE) is characterized by bilateral synchronous spike–wave discharges on electroencephalography (EEG) but normal clinical MRI. Dysfunctions involving the neocortex, particularly the prefrontal cortex, and thalamus likely contribute to seizure activity. To identify possible morphometric and functional differences in the brains of IGE patients and normal controls, we employed measures of thalamic volumes, cortical thickness, gray–white blurring, fractional anisotropy (FA) measures from diffusion tensor imaging (DTI) and fractional amplitude of low frequency fluctuations (fALFF) in thalamic subregions from resting state functional MRI. Data from 27 patients with IGE and 27 age- and sex-matched controls showed similar thalamic volumes, cortical thickness and gray–white contrast. There were no differences in FA values on DTI in tracts connecting the thalamus and prefrontal cortex. Functional analysis revealed decreased fALFF in the prefrontal cortex (PFC) subregion of the thalamus in patients with IGE. We provide minimum detectable effect sizes for each measure used in the study. Our analysis indicates that fMRI-based methods are more sensitive than quantitative structural techniques for characterizing brain abnormalities in IGE. |
format | Online Article Text |
id | pubmed-4221627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-42216272014-11-09 Functional neuroimaging abnormalities in idiopathic generalized epilepsy McGill, Megan L. Devinsky, Orrin Wang, Xiuyuan Quinn, Brian T. Pardoe, Heath Carlson, Chad Butler, Tracy Kuzniecky, Ruben Thesen, Thomas Neuroimage Clin Article Magnetic resonance imaging (MRI) techniques have been used to quantitatively assess focal and network abnormalities. Idiopathic generalized epilepsy (IGE) is characterized by bilateral synchronous spike–wave discharges on electroencephalography (EEG) but normal clinical MRI. Dysfunctions involving the neocortex, particularly the prefrontal cortex, and thalamus likely contribute to seizure activity. To identify possible morphometric and functional differences in the brains of IGE patients and normal controls, we employed measures of thalamic volumes, cortical thickness, gray–white blurring, fractional anisotropy (FA) measures from diffusion tensor imaging (DTI) and fractional amplitude of low frequency fluctuations (fALFF) in thalamic subregions from resting state functional MRI. Data from 27 patients with IGE and 27 age- and sex-matched controls showed similar thalamic volumes, cortical thickness and gray–white contrast. There were no differences in FA values on DTI in tracts connecting the thalamus and prefrontal cortex. Functional analysis revealed decreased fALFF in the prefrontal cortex (PFC) subregion of the thalamus in patients with IGE. We provide minimum detectable effect sizes for each measure used in the study. Our analysis indicates that fMRI-based methods are more sensitive than quantitative structural techniques for characterizing brain abnormalities in IGE. Elsevier 2014-10-24 /pmc/articles/PMC4221627/ /pubmed/25383319 http://dx.doi.org/10.1016/j.nicl.2014.10.008 Text en © 2014 The Authors. Published by Elsevier Inc. All rights reserved. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). |
spellingShingle | Article McGill, Megan L. Devinsky, Orrin Wang, Xiuyuan Quinn, Brian T. Pardoe, Heath Carlson, Chad Butler, Tracy Kuzniecky, Ruben Thesen, Thomas Functional neuroimaging abnormalities in idiopathic generalized epilepsy |
title | Functional neuroimaging abnormalities in idiopathic generalized epilepsy |
title_full | Functional neuroimaging abnormalities in idiopathic generalized epilepsy |
title_fullStr | Functional neuroimaging abnormalities in idiopathic generalized epilepsy |
title_full_unstemmed | Functional neuroimaging abnormalities in idiopathic generalized epilepsy |
title_short | Functional neuroimaging abnormalities in idiopathic generalized epilepsy |
title_sort | functional neuroimaging abnormalities in idiopathic generalized epilepsy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4221627/ https://www.ncbi.nlm.nih.gov/pubmed/25383319 http://dx.doi.org/10.1016/j.nicl.2014.10.008 |
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