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fMRI study of mesial temporal lobe epilepsy using amplitude of low-frequency fluctuation analysis
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fMRI study of mesial temporal lobe epilepsy using amplitude of low-frequency fluctuation analysis

Author: Zhiqiang Zhang Affiliation: Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, ChinaGuangming Lu Affiliation: Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, ChinaYuan Zhong Affiliation: Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, ChinaQifu Tan Affiliation: Department of Neurosurgery, Jinling Hospital, Nanjing University School of Medicine, Nanjing, ChinaHuafu Chen Affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaAll authors
Edition/Format: Article Article : English
Publication:Human Brain Mapping, v31 n12 (December 2010): 1851-1861
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Summary:
Various functional imaging tools have been used to detect epileptic activity in the neural network underlying mesial temporal lobe epilepsy (mTLE). In the present fMRI study, a data-driven approach was employed to map interictal epileptic activity in mTLE patients by measuring the amplitude of low-frequency fluctuation (ALFF) of the blood oxygen level-dependent (BOLD) signal. Twenty-four left mTLE patients and 26  Read more...
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Document Type: Article
All Authors / Contributors: Zhiqiang Zhang Affiliation: Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; Guangming Lu Affiliation: Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; Yuan Zhong Affiliation: Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; Qifu Tan Affiliation: Department of Neurosurgery, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; Huafu Chen Affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Wei Liao Affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Lei Tian Affiliation: Department of Neurosurgery, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; Zhihao Li Affiliation: Department of Biomedical Engineering, Biomedical Imaging Technology Centre, Emory University, Atlanta, Georgia; Jixin Shi Affiliation: Department of Neurosurgery, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; Yijun Liu Affiliation: Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; Department of Psychiatry, University of Florida, Gainesville, Florida
ISSN:1065-9471
Language Note: English
Unique Identifier: 5151731536
Notes: Number of Figures: 5
Number of Tables: 3
Number of References: 49
Number of Words: 8619
Additional Supporting Information may be found in the online version of this article.
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Abstract:

Various functional imaging tools have been used to detect epileptic activity in the neural network underlying mesial temporal lobe epilepsy (mTLE). In the present fMRI study, a data-driven approach was employed to map interictal epileptic activity in mTLE patients by measuring the amplitude of low-frequency fluctuation (ALFF) of the blood oxygen level-dependent (BOLD) signal. Twenty-four left mTLE patients and 26 right mTLE patients were investigated by comparing with 25 healthy subjects. In the patients, the regions showing increased ALFF were consistently distributed in the mesial temporal lobe, thalamus, and a few of other cortical and subcortical structures composing a mesial temporal epilepsy network proposed previously, while the regions showing decreased ALFF were mostly located in the areas of so-called default-mode network. Data of simultaneous EEG-fMRI from a portion of the patients suggested that the increases in ALFF might be associated with the interictal epileptic activity. Individual analyses based on statistic parametric mapping revealed a moderate sensitivity and a fairly high specificity for the lateralization of unilateral mTLE. We conclude that the ALFF analysis may provide a useful tool in fMRI study of epilepsy. Hum Brain Mapp, 2010. © 2010 Wiley-Liss, Inc.

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