A review on epileptic foci localization using resting-state functional magnetic resonance imaging
Epilepsy is a brain syndrome caused by synchronous abnormal discharge of brain neurons. As an effective treatment for epilepsy, successful surgical resection requires accurate localization of epileptic foci to avoid iatrogenic disability. Previous studies have demonstrated the potential of restingst...
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AIMS Press
2020-02-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2020137?viewType=HTML |
| _version_ | 1818355679215222784 |
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| author | Yue Shi Xin Zhang Chunlan Yang Jiechuan Ren Zhimei Li Qun Wang |
| author_facet | Yue Shi Xin Zhang Chunlan Yang Jiechuan Ren Zhimei Li Qun Wang |
| author_sort | Yue Shi |
| collection | DOAJ |
| description | Epilepsy is a brain syndrome caused by synchronous abnormal discharge of brain neurons. As an effective treatment for epilepsy, successful surgical resection requires accurate localization of epileptic foci to avoid iatrogenic disability. Previous studies have demonstrated the potential of restingstate functional magnetic resonance imaging (rs-fMRI) technique to localize epileptic foci though clinical applications of rs-fMRI are still at an early stage of development. fMRI data analysis approaches seek pre-defined regressors modeling contributions to the voxel time series, including the BOLD response following neuronal activation. In present study, localization strategies of epileptic foci in rs-fMRI technology were classified and summarized. To begin with, data-driven approaches attempting to determine the intrinsic structure of the data were discussed in detail. Then, as novel fMRI data analysis methods, deconvolution algorithms such as total activation (TA) and blind deconvolution were discussed, which were applied to explore the underlying activity-inducing signal of the BOLD signal. Lastly, effective connectivity approaches such as autocorrelation function method and Pearson correlation coefficient have also been proposed to identify the brain regions driving the generation of seizures within the epileptic network. In the future, fMRI technology can be used as a supplement of intraoperative subdural electrode method or combined with traditional epileptic focus localization technologies, which is one of the most attractive aspect in clinic. It may also play an important role in providing diagnostic information for epilepsy patients. |
| first_indexed | 2024-12-13T19:45:09Z |
| format | Article |
| id | doaj.art-5270371bfdc34db487600cbb1dd04400 |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-12-13T19:45:09Z |
| publishDate | 2020-02-01 |
| publisher | AIMS Press |
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| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-5270371bfdc34db487600cbb1dd044002022-12-21T23:33:35ZengAIMS PressMathematical Biosciences and Engineering1551-00182020-02-011732496251510.3934/mbe.2020137A review on epileptic foci localization using resting-state functional magnetic resonance imagingYue Shi0Xin Zhang1Chunlan Yang2Jiechuan Ren3Zhimei Li4Qun Wang51. College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China1. College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China1. College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China2. Department of Internal Neurology, Tiantan Hospital, Beijing 100070, China2. Department of Internal Neurology, Tiantan Hospital, Beijing 100070, China2. Department of Internal Neurology, Tiantan Hospital, Beijing 100070, ChinaEpilepsy is a brain syndrome caused by synchronous abnormal discharge of brain neurons. As an effective treatment for epilepsy, successful surgical resection requires accurate localization of epileptic foci to avoid iatrogenic disability. Previous studies have demonstrated the potential of restingstate functional magnetic resonance imaging (rs-fMRI) technique to localize epileptic foci though clinical applications of rs-fMRI are still at an early stage of development. fMRI data analysis approaches seek pre-defined regressors modeling contributions to the voxel time series, including the BOLD response following neuronal activation. In present study, localization strategies of epileptic foci in rs-fMRI technology were classified and summarized. To begin with, data-driven approaches attempting to determine the intrinsic structure of the data were discussed in detail. Then, as novel fMRI data analysis methods, deconvolution algorithms such as total activation (TA) and blind deconvolution were discussed, which were applied to explore the underlying activity-inducing signal of the BOLD signal. Lastly, effective connectivity approaches such as autocorrelation function method and Pearson correlation coefficient have also been proposed to identify the brain regions driving the generation of seizures within the epileptic network. In the future, fMRI technology can be used as a supplement of intraoperative subdural electrode method or combined with traditional epileptic focus localization technologies, which is one of the most attractive aspect in clinic. It may also play an important role in providing diagnostic information for epilepsy patients.https://www.aimspress.com/article/doi/10.3934/mbe.2020137?viewType=HTMLepilepsyfmrilocalization of focidata-driven approachbrain functional network connectivity |
| spellingShingle | Yue Shi Xin Zhang Chunlan Yang Jiechuan Ren Zhimei Li Qun Wang A review on epileptic foci localization using resting-state functional magnetic resonance imaging Mathematical Biosciences and Engineering epilepsy fmri localization of foci data-driven approach brain functional network connectivity |
| title | A review on epileptic foci localization using resting-state functional magnetic resonance imaging |
| title_full | A review on epileptic foci localization using resting-state functional magnetic resonance imaging |
| title_fullStr | A review on epileptic foci localization using resting-state functional magnetic resonance imaging |
| title_full_unstemmed | A review on epileptic foci localization using resting-state functional magnetic resonance imaging |
| title_short | A review on epileptic foci localization using resting-state functional magnetic resonance imaging |
| title_sort | review on epileptic foci localization using resting state functional magnetic resonance imaging |
| topic | epilepsy fmri localization of foci data-driven approach brain functional network connectivity |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2020137?viewType=HTML |
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