Study on different brain activation rearrangement during cognitive workload from ERD/ERS and coherence analysis
The functional activities of the brain during any task like imaginary, motor, or cognitive are different in pattern as well as their area of activation in the brain is also different. This variation in pattern is also found in the brain’s electrical variations that can be measured from the scalp of...
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description | The functional activities of the brain during any task like imaginary, motor, or cognitive are different in pattern as well as their area of activation in the brain is also different. This variation in pattern is also found in the brain’s electrical variations that can be measured from the scalp of the brain using an electroencephalogram (EEG). This work exclusively studied a group of subjects’ EEG data (available at:
https://archive.physionet.org/physiobank/database/eegmat/
) to unravel the activation pattern of the human brain during a mental arithmetic task. Since any cognitive task creates variations in EEG signal pattern, the relative changes in the signal power also occur which is also known as event-related desynchronization/synchronization (ERD/ERS). In this work, ERD/ERS have calculated the band-wise power spectral density (PSD) using Welch’s method from the EEG signals. Besides, the coherence analysis was also performed to verify the results of ERD/ERS analysis from several randomly chosen subjects’ EEG data. Here, subjects performing mental arithmetic tasks were grouped based on their performances: good (subtraction solved > 10 on average) and bad (subtraction solved ≤ 10 on average) to conduct group-specific ERD/ERS analysis regarding their performance in cognitive tasks. It was found that when the brain is on count condition, the variations found in the band power of theta and beta. The amounts of ERS in the left hemisphere are increased. When the task complexity increases, it contributes to an increase in relative ERD/ERS amounts and durations. The left and right hemispheres were asymmetrically distributed by both the pre-stimulus stages of the corresponding band power and relative ERD/ERS. |
doi_str_mv | 10.1007/s11571-023-10032-6 |
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https://archive.physionet.org/physiobank/database/eegmat/
) to unravel the activation pattern of the human brain during a mental arithmetic task. Since any cognitive task creates variations in EEG signal pattern, the relative changes in the signal power also occur which is also known as event-related desynchronization/synchronization (ERD/ERS). In this work, ERD/ERS have calculated the band-wise power spectral density (PSD) using Welch’s method from the EEG signals. Besides, the coherence analysis was also performed to verify the results of ERD/ERS analysis from several randomly chosen subjects’ EEG data. Here, subjects performing mental arithmetic tasks were grouped based on their performances: good (subtraction solved > 10 on average) and bad (subtraction solved ≤ 10 on average) to conduct group-specific ERD/ERS analysis regarding their performance in cognitive tasks. It was found that when the brain is on count condition, the variations found in the band power of theta and beta. The amounts of ERS in the left hemisphere are increased. When the task complexity increases, it contributes to an increase in relative ERD/ERS amounts and durations. The left and right hemispheres were asymmetrically distributed by both the pre-stimulus stages of the corresponding band power and relative ERD/ERS.</description><identifier>ISSN: 1871-4080</identifier><identifier>EISSN: 1871-4099</identifier><identifier>DOI: 10.1007/s11571-023-10032-6</identifier><identifier>PMID: 39104686</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Activation analysis ; Arithmetic ; Artificial Intelligence ; Biochemistry ; Biomedical and Life Sciences ; Biomedicine ; Brain ; Brain research ; Cognitive Psychology ; Cognitive tasks ; Coherence analysis ; Computer Science ; Decision making ; EEG ; Electroencephalography ; Epilepsy ; Hemispheres ; Hemispheric laterality ; Localization ; Mathematical analysis ; Mental task performance ; Neurosciences ; Pattern analysis ; Power spectral density ; Research Article ; Subtraction ; Synchronism ; Synchronization ; Task complexity ; Variation ; Workload ; Workloads</subject><ispartof>Cognitive neurodynamics, 2024-08, Vol.18 (4), p.1709-1732</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-83604bbfbb20b0dd6ccf82d9d9c3e86b8cbd124a6bbbb4ac6dc0ba459a6955853</cites><orcidid>0000-0001-6194-664X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11571-023-10032-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11571-023-10032-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39104686$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bipul, Md. Rayahan Sarker</creatorcontrib><creatorcontrib>Rahman, Md. Asadur</creatorcontrib><creatorcontrib>Hossain, Md. Foisal</creatorcontrib><title>Study on different brain activation rearrangement during cognitive workload from ERD/ERS and coherence analysis</title><title>Cognitive neurodynamics</title><addtitle>Cogn Neurodyn</addtitle><addtitle>Cogn Neurodyn</addtitle><description>The functional activities of the brain during any task like imaginary, motor, or cognitive are different in pattern as well as their area of activation in the brain is also different. This variation in pattern is also found in the brain’s electrical variations that can be measured from the scalp of the brain using an electroencephalogram (EEG). This work exclusively studied a group of subjects’ EEG data (available at:
https://archive.physionet.org/physiobank/database/eegmat/
) to unravel the activation pattern of the human brain during a mental arithmetic task. Since any cognitive task creates variations in EEG signal pattern, the relative changes in the signal power also occur which is also known as event-related desynchronization/synchronization (ERD/ERS). In this work, ERD/ERS have calculated the band-wise power spectral density (PSD) using Welch’s method from the EEG signals. Besides, the coherence analysis was also performed to verify the results of ERD/ERS analysis from several randomly chosen subjects’ EEG data. Here, subjects performing mental arithmetic tasks were grouped based on their performances: good (subtraction solved > 10 on average) and bad (subtraction solved ≤ 10 on average) to conduct group-specific ERD/ERS analysis regarding their performance in cognitive tasks. It was found that when the brain is on count condition, the variations found in the band power of theta and beta. The amounts of ERS in the left hemisphere are increased. When the task complexity increases, it contributes to an increase in relative ERD/ERS amounts and durations. The left and right hemispheres were asymmetrically distributed by both the pre-stimulus stages of the corresponding band power and relative ERD/ERS.</description><subject>Activation analysis</subject><subject>Arithmetic</subject><subject>Artificial Intelligence</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Brain</subject><subject>Brain research</subject><subject>Cognitive Psychology</subject><subject>Cognitive tasks</subject><subject>Coherence analysis</subject><subject>Computer Science</subject><subject>Decision making</subject><subject>EEG</subject><subject>Electroencephalography</subject><subject>Epilepsy</subject><subject>Hemispheres</subject><subject>Hemispheric laterality</subject><subject>Localization</subject><subject>Mathematical analysis</subject><subject>Mental task performance</subject><subject>Neurosciences</subject><subject>Pattern analysis</subject><subject>Power spectral density</subject><subject>Research Article</subject><subject>Subtraction</subject><subject>Synchronism</subject><subject>Synchronization</subject><subject>Task complexity</subject><subject>Variation</subject><subject>Workload</subject><subject>Workloads</subject><issn>1871-4080</issn><issn>1871-4099</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kclKBDEQhoMo7i_gQQJevLQmnWXSR9FxAUFwOYdsPUa7O2PSrczbm55xAQ_WJVWpr_6E-gE4wOgEIzQ5TRizCS5QSYpck7Lga2Abi3xFUVWt_-QCbYGdlF4QYlxgugm2SIUR5YJvg_DQD3YBQwetr2sXXddDHZXvoDK9f1e9z63oVIyqm7l2bNsh-m4GTZh1PiMOfoT42gRlYR1DC6f3F6fT-weoOpuZ51HSuFypZpF82gMbtWqS2_86d8HT5fTx_Lq4vbu6OT-7LQwpeV8IwhHVuta6RBpZy42pRWkrWxniBNfCaItLqrjOQZXh1iCtKKsUrxgTjOyC45XuPIa3waVetj4Z1zSqc2FIkiBRMUwFHdGjP-hLGGL-75KacMQYx5kqV5SJIaXoajmPvlVxITGSox1yZYfMdsilHZLnocMv6UG3zv6MfO8_A2QFpPm4VBd_3_5H9hNYJ5cS</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Bipul, Md. Rayahan Sarker</creator><creator>Rahman, Md. Asadur</creator><creator>Hossain, Md. Foisal</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-6194-664X</orcidid></search><sort><creationdate>20240801</creationdate><title>Study on different brain activation rearrangement during cognitive workload from ERD/ERS and coherence analysis</title><author>Bipul, Md. Rayahan Sarker ; Rahman, Md. Asadur ; Hossain, Md. 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https://archive.physionet.org/physiobank/database/eegmat/
) to unravel the activation pattern of the human brain during a mental arithmetic task. Since any cognitive task creates variations in EEG signal pattern, the relative changes in the signal power also occur which is also known as event-related desynchronization/synchronization (ERD/ERS). In this work, ERD/ERS have calculated the band-wise power spectral density (PSD) using Welch’s method from the EEG signals. Besides, the coherence analysis was also performed to verify the results of ERD/ERS analysis from several randomly chosen subjects’ EEG data. Here, subjects performing mental arithmetic tasks were grouped based on their performances: good (subtraction solved > 10 on average) and bad (subtraction solved ≤ 10 on average) to conduct group-specific ERD/ERS analysis regarding their performance in cognitive tasks. It was found that when the brain is on count condition, the variations found in the band power of theta and beta. The amounts of ERS in the left hemisphere are increased. When the task complexity increases, it contributes to an increase in relative ERD/ERS amounts and durations. The left and right hemispheres were asymmetrically distributed by both the pre-stimulus stages of the corresponding band power and relative ERD/ERS.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>39104686</pmid><doi>10.1007/s11571-023-10032-6</doi><tpages>24</tpages><orcidid>https://orcid.org/0000-0001-6194-664X</orcidid></addata></record> |
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subjects | Activation analysis Arithmetic Artificial Intelligence Biochemistry Biomedical and Life Sciences Biomedicine Brain Brain research Cognitive Psychology Cognitive tasks Coherence analysis Computer Science Decision making EEG Electroencephalography Epilepsy Hemispheres Hemispheric laterality Localization Mathematical analysis Mental task performance Neurosciences Pattern analysis Power spectral density Research Article Subtraction Synchronism Synchronization Task complexity Variation Workload Workloads |
title | Study on different brain activation rearrangement during cognitive workload from ERD/ERS and coherence analysis |
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