MSP Patches Based Optimized EEG Source Localization and Validation in Visual Cortex of Human Brain
This paper is focused on optimizing EEG source localization of visual neural activities generated in the posterior lobe of the human brain. The visual and neural systems of the human brain process the captured images of faces or scenes into optical and chemical neurons in order to produce electrica...
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| Format: | Article |
| Language: | English |
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The University of Lahore
2022-09-01
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| Series: | Pakistan Journal of Engineering & Technology |
| Subjects: | |
| Online Access: | https://www.hpej.net/journals/pakjet/article/view/2102 |
| _version_ | 1797994900864630784 |
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| author | Anwar Ali Gaho Ahmed Muddassir Khan Sayed Hyder Abbas Musavi Muhammad Abul Hasan Muhammad Shafiq |
| author_facet | Anwar Ali Gaho Ahmed Muddassir Khan Sayed Hyder Abbas Musavi Muhammad Abul Hasan Muhammad Shafiq |
| author_sort | Anwar Ali Gaho |
| collection | DOAJ |
| description |
This paper is focused on optimizing EEG source localization of visual neural activities generated in the posterior lobe of the human brain. The visual and neural systems of the human brain process the captured images of faces or scenes into optical and chemical neurons in order to produce electrical potentials over the scalp surface, where EEG electrodes measure these signals to sense the underneath visual brain activity. However, it is categorically hard to localize the true neural sources in the human brain's visual cortex due to overlapping and interaction of other active areas of the lobes of the brain. Thus, a novel algorithm of MSP inversion-based Bayesian framework with varying patches for providing the optimal free energy and minimum location in the visual cortex is proposed to address this issue. This algorithm is integrated with a synthetic EEG dataset generation scheme to validate active neural sources. This proposed algorithm provides satisfactory results in terms of optimal free energy with minimum localization error and validates true active sources in the brain. The SPM12 Toolbox is applied in processing the visual EEG dataset in this research. The application of this proposed algorithm is beneficial in terms of localizing the optimum visual sources and identifying the visual disorders or diseases in the human brain.
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| first_indexed | 2024-04-11T09:51:51Z |
| format | Article |
| id | doaj.art-7a7ab42b17684867abc6d9437d1ea8b3 |
| institution | Directory Open Access Journal |
| issn | 2664-2042 2664-2050 |
| language | English |
| last_indexed | 2024-04-11T09:51:51Z |
| publishDate | 2022-09-01 |
| publisher | The University of Lahore |
| record_format | Article |
| series | Pakistan Journal of Engineering & Technology |
| spelling | doaj.art-7a7ab42b17684867abc6d9437d1ea8b32022-12-22T04:30:45ZengThe University of LahorePakistan Journal of Engineering & Technology2664-20422664-20502022-09-015210.51846/vol5iss2pp204-210MSP Patches Based Optimized EEG Source Localization and Validation in Visual Cortex of Human BrainAnwar Ali Gaho0Ahmed Muddassir Khan1Sayed Hyder Abbas Musavi2Muhammad Abul Hasan3Muhammad Shafiq4Department of Electrical Engineering, Faculty of Engineering Science & Technology, Indus University, Karachi, PakistanDepartment of Electrical Engineering, Faculty of Engineering Science & Technology, Indus University, Karachi, PakistanDepartment of Electronic Engineering, Mehran University of Engineering and Technology, SZAB Khairpur, PakistanDepartment of Biomedical Engineering, NED University of Engineering & Technology, Karachi, PakistanUniversity of Innsbruck, Institute for Meteorology Department of Geophysics, Austria This paper is focused on optimizing EEG source localization of visual neural activities generated in the posterior lobe of the human brain. The visual and neural systems of the human brain process the captured images of faces or scenes into optical and chemical neurons in order to produce electrical potentials over the scalp surface, where EEG electrodes measure these signals to sense the underneath visual brain activity. However, it is categorically hard to localize the true neural sources in the human brain's visual cortex due to overlapping and interaction of other active areas of the lobes of the brain. Thus, a novel algorithm of MSP inversion-based Bayesian framework with varying patches for providing the optimal free energy and minimum location in the visual cortex is proposed to address this issue. This algorithm is integrated with a synthetic EEG dataset generation scheme to validate active neural sources. This proposed algorithm provides satisfactory results in terms of optimal free energy with minimum localization error and validates true active sources in the brain. The SPM12 Toolbox is applied in processing the visual EEG dataset in this research. The application of this proposed algorithm is beneficial in terms of localizing the optimum visual sources and identifying the visual disorders or diseases in the human brain. https://www.hpej.net/journals/pakjet/article/view/2102EEG source localization,Forward and InversionMultiple Sparse PriorsPatches,Free EnergySynthetic EEG Datasets |
| spellingShingle | Anwar Ali Gaho Ahmed Muddassir Khan Sayed Hyder Abbas Musavi Muhammad Abul Hasan Muhammad Shafiq MSP Patches Based Optimized EEG Source Localization and Validation in Visual Cortex of Human Brain Pakistan Journal of Engineering & Technology EEG source localization, Forward and Inversion Multiple Sparse Priors Patches, Free Energy Synthetic EEG Datasets |
| title | MSP Patches Based Optimized EEG Source Localization and Validation in Visual Cortex of Human Brain |
| title_full | MSP Patches Based Optimized EEG Source Localization and Validation in Visual Cortex of Human Brain |
| title_fullStr | MSP Patches Based Optimized EEG Source Localization and Validation in Visual Cortex of Human Brain |
| title_full_unstemmed | MSP Patches Based Optimized EEG Source Localization and Validation in Visual Cortex of Human Brain |
| title_short | MSP Patches Based Optimized EEG Source Localization and Validation in Visual Cortex of Human Brain |
| title_sort | msp patches based optimized eeg source localization and validation in visual cortex of human brain |
| topic | EEG source localization, Forward and Inversion Multiple Sparse Priors Patches, Free Energy Synthetic EEG Datasets |
| url | https://www.hpej.net/journals/pakjet/article/view/2102 |
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