Quantitative analysis of inter-and intrahemispheric coherence on epileptic electroencephalography signal
When an epileptic seizure occurs, the neuron's activity of the brain is dynamically changed, which affects the connectivity between brain regions. The connectivity of each brain region can be quantified by electroencephalography (EEG) coherence, which measures the statistical correlation betwee...
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| Format: | Article |
| Language: | English |
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Isfahan University of Medical Sciences(IUMS)
2022
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| Online Access: | https://repository.ugm.ac.id/282022/1/Wijayanto%20et%20al.%20-%202022%20-%20Quantitative%20analysis%20of%20inter-and%20intrahemispheri.pdf |
| _version_ | 1797037518175076352 |
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| author | Wijayanto, Inung Hartanto, Rudy Nugroho, Hanung Adi |
| author_facet | Wijayanto, Inung Hartanto, Rudy Nugroho, Hanung Adi |
| author_sort | Wijayanto, Inung |
| collection | UGM |
| description | When an epileptic seizure occurs, the neuron's activity of the brain is dynamically changed, which affects the connectivity between brain regions. The connectivity of each brain region can be quantified by electroencephalography (EEG) coherence, which measures the statistical correlation between electrodes spatially separated on the scalp. Previous studies conducted a coherence analysis of all EEG electrodes covering all parts of the brain. However, in an epileptic condition, seizures occur in a specific region of the brain then spreading to other areas. Therefore, this study applies an energy-based channel selection process to determine the coherence analysis in the most active brain regions during the seizure. This paper presents a quantitative analysis of inter-and intrahemispheric coherence in epileptic EEG signals and the correlation with the channel activity to glean insights about brain area connectivity changes during epileptic seizures. The EEG signals are obtained from ten patients' data from the CHB-MIT dataset. Pair-wise electrode spectral coherence is calculated in the full band and five sub-bands of EEG signals. The channel activity level is determined by calculating the energy of each channel in all patients. The EEG coherence observation in the preictal (Coh pre) and ictal (Coh ictal) conditions showed a significant decrease of Coh ictal in the most active channel, especially in the lower EEG sub-bands. This finding indicates that there is a strong correlation between the decrease of mean spectral coherence and channel activity. The decrease of coherence in epileptic conditions (Coh ictal <Coh pre) indicates low neuronal connectivity. There are some exceptions in some channel pairs, but a constant pattern is found in the high activity channel. This shows a strong correlation between the decrease of coherence and the channel activity. The finding in this study demonstrates that the neuronal connectivity of epileptic EEG signals is suitable to be analyzed in the more active brain regions. © 2022 Isfahan University of Medical Sciences(IUMS). All rights reserved. |
| first_indexed | 2024-03-14T00:04:30Z |
| format | Article |
| id | oai:generic.eprints.org:282022 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-14T00:04:30Z |
| publishDate | 2022 |
| publisher | Isfahan University of Medical Sciences(IUMS) |
| record_format | dspace |
| spelling | oai:generic.eprints.org:2820222023-12-04T03:25:09Z https://repository.ugm.ac.id/282022/ Quantitative analysis of inter-and intrahemispheric coherence on epileptic electroencephalography signal Wijayanto, Inung Hartanto, Rudy Nugroho, Hanung Adi Electrical and Electronic Engineering not elsewhere classified When an epileptic seizure occurs, the neuron's activity of the brain is dynamically changed, which affects the connectivity between brain regions. The connectivity of each brain region can be quantified by electroencephalography (EEG) coherence, which measures the statistical correlation between electrodes spatially separated on the scalp. Previous studies conducted a coherence analysis of all EEG electrodes covering all parts of the brain. However, in an epileptic condition, seizures occur in a specific region of the brain then spreading to other areas. Therefore, this study applies an energy-based channel selection process to determine the coherence analysis in the most active brain regions during the seizure. This paper presents a quantitative analysis of inter-and intrahemispheric coherence in epileptic EEG signals and the correlation with the channel activity to glean insights about brain area connectivity changes during epileptic seizures. The EEG signals are obtained from ten patients' data from the CHB-MIT dataset. Pair-wise electrode spectral coherence is calculated in the full band and five sub-bands of EEG signals. The channel activity level is determined by calculating the energy of each channel in all patients. The EEG coherence observation in the preictal (Coh pre) and ictal (Coh ictal) conditions showed a significant decrease of Coh ictal in the most active channel, especially in the lower EEG sub-bands. This finding indicates that there is a strong correlation between the decrease of mean spectral coherence and channel activity. The decrease of coherence in epileptic conditions (Coh ictal <Coh pre) indicates low neuronal connectivity. There are some exceptions in some channel pairs, but a constant pattern is found in the high activity channel. This shows a strong correlation between the decrease of coherence and the channel activity. The finding in this study demonstrates that the neuronal connectivity of epileptic EEG signals is suitable to be analyzed in the more active brain regions. © 2022 Isfahan University of Medical Sciences(IUMS). All rights reserved. Isfahan University of Medical Sciences(IUMS) 2022 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/282022/1/Wijayanto%20et%20al.%20-%202022%20-%20Quantitative%20analysis%20of%20inter-and%20intrahemispheri.pdf Wijayanto, Inung and Hartanto, Rudy and Nugroho, Hanung Adi (2022) Quantitative analysis of inter-and intrahemispheric coherence on epileptic electroencephalography signal. Journal of Medical Signals and Sensors, 12 (2). 145 -154. ISSN 22287477 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9215829/ 10.4103/jmss.JMSS_63_20 |
| spellingShingle | Electrical and Electronic Engineering not elsewhere classified Wijayanto, Inung Hartanto, Rudy Nugroho, Hanung Adi Quantitative analysis of inter-and intrahemispheric coherence on epileptic electroencephalography signal |
| title | Quantitative analysis of inter-and intrahemispheric coherence on epileptic electroencephalography signal |
| title_full | Quantitative analysis of inter-and intrahemispheric coherence on epileptic electroencephalography signal |
| title_fullStr | Quantitative analysis of inter-and intrahemispheric coherence on epileptic electroencephalography signal |
| title_full_unstemmed | Quantitative analysis of inter-and intrahemispheric coherence on epileptic electroencephalography signal |
| title_short | Quantitative analysis of inter-and intrahemispheric coherence on epileptic electroencephalography signal |
| title_sort | quantitative analysis of inter and intrahemispheric coherence on epileptic electroencephalography signal |
| topic | Electrical and Electronic Engineering not elsewhere classified |
| url | https://repository.ugm.ac.id/282022/1/Wijayanto%20et%20al.%20-%202022%20-%20Quantitative%20analysis%20of%20inter-and%20intrahemispheri.pdf |
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