Literature DB >> 35158018

Abnormal Degree Centrality as a Potential Imaging Biomarker for Right Temporal Lobe Epilepsy: A Resting-state Functional Magnetic Resonance Imaging Study and Support Vector Machine Analysis.

Yujun Gao1, Zhenying Xiong2, Xi Wang3, Hongwei Ren4, Ruoshi Liu5, Bing Bai6, Liming Zhang7, Dongbin Li8.   

Abstract

Previous studies have reported altered neuroimaging features in right temporal lobe epilepsy (rTLE). However, the alterations in degree centrality (DC) as a diagnostic method for rTLE have not been reported. Therefore, we aimed to explore abnormalities in the DC of the rTLE and whether such alterations could be applied to the diagnosis of rTLE. Resting-state functional magnetic resonance imaging (fMRI) was used to scan 82 patients with rTLE and 69 healthy controls. The DC and support vector machine (SVM) methods were used for an analysis of the imaging data. Compared to the control group, the rTLE patients exhibited lower DC values in the right hippocampus, right superior temporal gyrus, and right caudate. Compared to the control group, the rTLE patients showed higher DC values in the right medial superior frontal gyrus (SFGmed), left dorsolateral superior frontal gyrus (SFGdor), right inferior parietal lobule (IPL), and the left postcentral. The highest diagnostic accuracy of 99.34% (150/151), based on SVM analysis, was demonstrated for the combination of abnormal DC in the right IPL and the left SFGdor, along with a sensitivity of 100% (82/82), and a specificity of 98.55% (68/69) for the differentiation of rTLE patients from healthy controls. The study demonstrated abnormal functional connectivity in rTLE patients. Thus, a distinctive DC pattern may serve as an imaging marker for the diagnosis of rTLE patients.
Copyright © 2022 IBRO. Published by Elsevier Ltd. All rights reserved.

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Keywords:  degree centrality; imaging biomarker; resting-state functional magnetic resonance imaging; right temporal lobe epilepsy; support vector machine

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Year:  2022        PMID: 35158018     DOI: 10.1016/j.neuroscience.2022.02.004

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  12 in total

1.  The Bilateral Precuneus as a Potential Neuroimaging Biomarker for Right Temporal Lobe Epilepsy: A Support Vector Machine Analysis.

Authors:  Chunyan Huang; Yang Zhou; Yi Zhong; Xi Wang; Yunhua Zhang
Journal:  Front Psychiatry       Date:  2022-06-15       Impact factor: 5.435

2.  Abnormal Reginal Homogeneity in Left Anterior Cingulum Cortex and Precentral Gyrus as a Potential Neuroimaging Biomarker for First-Episode Major Depressive Disorder.

Authors:  Yan Song; Chunyan Huang; Yi Zhong; Xi Wang; Guangyuan Tao
Journal:  Front Psychiatry       Date:  2022-06-01       Impact factor: 5.435

3.  Decreased Connectivity in Precuneus of the Ventral Attentional Network in First-Episode, Treatment-Naïve Patients With Major Depressive Disorder: A Network Homogeneity and Independent Component Analysis.

Authors:  Liqiong Luo; Xijun Lei; Canmin Zhu; Jun Wu; Hongwei Ren; Jing Zhan; Yongzhang Qin
Journal:  Front Psychiatry       Date:  2022-05-27       Impact factor: 5.435

4.  Altered voxel-level whole-brain functional connectivity in multiple system atrophy patients with depression symptoms.

Authors:  Hua Guang Yang; Weiyin Vivian Liu; Zhi Wen; Lan Hua Hu; Guo Guang Fan; Yun Fei Zha
Journal:  BMC Psychiatry       Date:  2022-04-20       Impact factor: 3.630

5.  Abnormal hubs in global network as neuroimaging biomarker in right temporal lobe epilepsy at rest.

Authors:  Ruimin Guo; Yunfei Zhao; Honghua Jin; Jihua Jian; Haibo Wang; Shengxi Jin; Hongwei Ren
Journal:  Front Psychiatry       Date:  2022-07-27       Impact factor: 5.435

6.  Altered voxel-mirrored homotopic connectivity in right temporal lobe epilepsy as measured using resting-state fMRI and support vector machine analyses.

Authors:  Yongqiang Chu; Jun Wu; Du Wang; Junli Huang; Wei Li; Sheng Zhang; Hongwei Ren
Journal:  Front Psychiatry       Date:  2022-07-26       Impact factor: 5.435

7.  The decreased connectivity in middle temporal gyrus can be used as a potential neuroimaging biomarker for left temporal lobe epilepsy.

Authors:  Jinlong Wu; Jun Wu; Ruimin Guo; Linkang Chu; Jun Li; Sheng Zhang; Hongwei Ren
Journal:  Front Psychiatry       Date:  2022-08-10       Impact factor: 5.435

8.  Abnormal regional homogeneity in right caudate as a potential neuroimaging biomarker for mild cognitive impairment: A resting-state fMRI study and support vector machine analysis.

Authors:  Yujun Gao; Xinfu Zhao; JiChao Huang; Sanwang Wang; Xuan Chen; Mingzhe Li; Fengjiao Sun; Gaohua Wang; Yi Zhong
Journal:  Front Aging Neurosci       Date:  2022-09-01       Impact factor: 5.702

9.  Abnormal degree centrality values as a potential imaging biomarker for major depressive disorder: A resting-state functional magnetic resonance imaging study and support vector machine analysis.

Authors:  Hang Lin; Xi Xiang; Junli Huang; Shihong Xiong; Hongwei Ren; Yujun Gao
Journal:  Front Psychiatry       Date:  2022-09-06       Impact factor: 5.435

10.  Abnormal regional signal in the left cerebellum as a potential neuroimaging biomarker of sudden sensorineural hearing loss.

Authors:  Lei Liu; Jun Fan; Hui Zhan; Junli Huang; Rui Cao; Xiaoran Xiang; Shuai Tian; Hongwei Ren; Miao Tong; Qian Li
Journal:  Front Psychiatry       Date:  2022-07-22       Impact factor: 5.435

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