Variational Phase-Amplitude Coupling Characterizes Signatures of Anterior Cortex under Emotional Processing
Emotion, an essential aspect in inferring human psychological states, is featured by entangled oscillators operating at multiple frequencies and montages. However, the dynamics of mutual interactions among rhythmic activities in EEGs under various emotional expressions are unclear. To this end, a no...
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description | Emotion, an essential aspect in inferring human psychological states, is featured by entangled oscillators operating at multiple frequencies and montages. However, the dynamics of mutual interactions among rhythmic activities in EEGs under various emotional expressions are unclear. To this end, a novel method named variational phase-amplitude coupling is proposed to quantify the rhythmic nesting structure in EEGs under emotional processing. The proposed algorithm lies in variational mode decomposition, featured by its robustness to noise artifacts and its merit in avoiding the mode-mixing problem. This novel method reduces the risk of spurious coupling compared to that with ensemble empirical mode decomposition or iterative filter when evaluated by simulations. An atlas of cross-couplings in EEGs under eight emotional processing is established. Mainly, α activity in the anterior frontal region serves as a critical sign for neutral emotional state, whereas γ amplitude seems to be linked with both positive and negative emotional states. Moreover, for those γ -amplitude-related couplings under neutral emotional state, the frontal lobe is associated with lower phase-given frequencies while the central lobe is attached to higher ones. The γ -amplitude-related coupling in EEGs is a promising biomarker for recognizing mental states. We recommend our method as an effective tool in characterizing the entangled multifrequency rhythms in brain signals for emotion neuromodulation. |
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However, the dynamics of mutual interactions among rhythmic activities in EEGs under various emotional expressions are unclear. To this end, a novel method named variational phase-amplitude coupling is proposed to quantify the rhythmic nesting structure in EEGs under emotional processing. The proposed algorithm lies in variational mode decomposition, featured by its robustness to noise artifacts and its merit in avoiding the mode-mixing problem. This novel method reduces the risk of spurious coupling compared to that with ensemble empirical mode decomposition or iterative filter when evaluated by simulations. An atlas of cross-couplings in EEGs under eight emotional processing is established. Mainly, α activity in the anterior frontal region serves as a critical sign for neutral emotional state, whereas γ amplitude seems to be linked with both positive and negative emotional states. Moreover, for those γ -amplitude-related couplings under neutral emotional state, the frontal lobe is associated with lower phase-given frequencies while the central lobe is attached to higher ones. The γ -amplitude-related coupling in EEGs is a promising biomarker for recognizing mental states. We recommend our method as an effective tool in characterizing the entangled multifrequency rhythms in brain signals for emotion neuromodulation.</description><identifier>ISSN: 2168-2194</identifier><identifier>EISSN: 2168-2208</identifier><identifier>DOI: 10.1109/JBHI.2023.3243275</identifier><identifier>PMID: 37022817</identifier><identifier>CODEN: IJBHA9</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Algorithms ; Amplitudes ; Biomarkers ; Brain modeling ; Couplings ; Decomposition ; EEG ; Electroencephalography ; Emotional factors ; Emotions ; Frontal lobe ; Nesting ; Neuromodulation ; Oscillators ; Phase-amplitude coupling ; Picture archiving and communication systems ; Recording ; Rhythms ; Risk reduction ; variational mode decomposition ; Wiener filters ; γ amplitude</subject><ispartof>IEEE journal of biomedical and health informatics, 2023-04, Vol.PP (4), p.1-10</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c393t-88925377add98ebb7d16949feffd81b17eb6dd2d52f547091de1ad7115117fcd3</citedby><cites>FETCH-LOGICAL-c393t-88925377add98ebb7d16949feffd81b17eb6dd2d52f547091de1ad7115117fcd3</cites><orcidid>0000-0002-4332-6305 ; 0000-0002-6886-2964</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10040734$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37022817$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Chuting</creatorcontrib><creatorcontrib>Yeh, Chien-Hung</creatorcontrib><creatorcontrib>Shi, Wenbin</creatorcontrib><title>Variational Phase-Amplitude Coupling Characterizes Signatures of Anterior Cortex under Emotional Processing</title><title>IEEE journal of biomedical and health informatics</title><addtitle>JBHI</addtitle><addtitle>IEEE J Biomed Health Inform</addtitle><description>Emotion, an essential aspect in inferring human psychological states, is featured by entangled oscillators operating at multiple frequencies and montages. However, the dynamics of mutual interactions among rhythmic activities in EEGs under various emotional expressions are unclear. To this end, a novel method named variational phase-amplitude coupling is proposed to quantify the rhythmic nesting structure in EEGs under emotional processing. The proposed algorithm lies in variational mode decomposition, featured by its robustness to noise artifacts and its merit in avoiding the mode-mixing problem. This novel method reduces the risk of spurious coupling compared to that with ensemble empirical mode decomposition or iterative filter when evaluated by simulations. An atlas of cross-couplings in EEGs under eight emotional processing is established. Mainly, α activity in the anterior frontal region serves as a critical sign for neutral emotional state, whereas γ amplitude seems to be linked with both positive and negative emotional states. Moreover, for those γ -amplitude-related couplings under neutral emotional state, the frontal lobe is associated with lower phase-given frequencies while the central lobe is attached to higher ones. The γ -amplitude-related coupling in EEGs is a promising biomarker for recognizing mental states. We recommend our method as an effective tool in characterizing the entangled multifrequency rhythms in brain signals for emotion neuromodulation.</description><subject>Algorithms</subject><subject>Amplitudes</subject><subject>Biomarkers</subject><subject>Brain modeling</subject><subject>Couplings</subject><subject>Decomposition</subject><subject>EEG</subject><subject>Electroencephalography</subject><subject>Emotional factors</subject><subject>Emotions</subject><subject>Frontal lobe</subject><subject>Nesting</subject><subject>Neuromodulation</subject><subject>Oscillators</subject><subject>Phase-amplitude coupling</subject><subject>Picture archiving and communication systems</subject><subject>Recording</subject><subject>Rhythms</subject><subject>Risk reduction</subject><subject>variational mode decomposition</subject><subject>Wiener filters</subject><subject>γ amplitude</subject><issn>2168-2194</issn><issn>2168-2208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><recordid>eNpdkV1LwzAUhoMoKrofIIgUvPGmMydpl-RyDj8ZKPhxW9LmdHa2zUxaUH-9mdtEzE1eDs95CHkJOQI6BKDq_O7i5nbIKONDzhLORLpF9hmMZMwYldubDCrZIwPv5zQcGUZqtEv2uKCMSRD75O1Fu0p3lW11HT28ao_xuFnUVdcbjCa2D7GdRZNX7XTRoau-0EeP1azVXe9CtGU0bpdz6wLtOvyI-tagiy4bu5E6W6D3QXNIdkpdexys7wPyfHX5NLmJp_fXt5PxNC644l0spWIpF0IboyTmuTAwUokqsSyNhBwE5iNjmElZmSaCKjAI2giAFECUheEH5GzlXTj73qPvsqbyBda1btH2PmNCCUiUYiKgp__Que1dePYPlUrKIU0CBSuqcNZ7h2W2cFWj3WcGNFuWkS3LyJZlZOsyws7J2tznDZrfjc3XB-B4BVSI-EdIEyp4wr8BoNuOow</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Zhang, Chuting</creator><creator>Yeh, Chien-Hung</creator><creator>Shi, Wenbin</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4332-6305</orcidid><orcidid>https://orcid.org/0000-0002-6886-2964</orcidid></search><sort><creationdate>20230401</creationdate><title>Variational Phase-Amplitude Coupling Characterizes Signatures of Anterior Cortex under Emotional Processing</title><author>Zhang, Chuting ; Yeh, Chien-Hung ; Shi, Wenbin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-88925377add98ebb7d16949feffd81b17eb6dd2d52f547091de1ad7115117fcd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Amplitudes</topic><topic>Biomarkers</topic><topic>Brain modeling</topic><topic>Couplings</topic><topic>Decomposition</topic><topic>EEG</topic><topic>Electroencephalography</topic><topic>Emotional factors</topic><topic>Emotions</topic><topic>Frontal lobe</topic><topic>Nesting</topic><topic>Neuromodulation</topic><topic>Oscillators</topic><topic>Phase-amplitude coupling</topic><topic>Picture archiving and communication systems</topic><topic>Recording</topic><topic>Rhythms</topic><topic>Risk reduction</topic><topic>variational mode decomposition</topic><topic>Wiener filters</topic><topic>γ amplitude</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Chuting</creatorcontrib><creatorcontrib>Yeh, Chien-Hung</creatorcontrib><creatorcontrib>Shi, Wenbin</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE journal of biomedical and health informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Chuting</au><au>Yeh, Chien-Hung</au><au>Shi, Wenbin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Variational Phase-Amplitude Coupling Characterizes Signatures of Anterior Cortex under Emotional Processing</atitle><jtitle>IEEE journal of biomedical and health informatics</jtitle><stitle>JBHI</stitle><addtitle>IEEE J Biomed Health Inform</addtitle><date>2023-04-01</date><risdate>2023</risdate><volume>PP</volume><issue>4</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>2168-2194</issn><eissn>2168-2208</eissn><coden>IJBHA9</coden><abstract>Emotion, an essential aspect in inferring human psychological states, is featured by entangled oscillators operating at multiple frequencies and montages. However, the dynamics of mutual interactions among rhythmic activities in EEGs under various emotional expressions are unclear. To this end, a novel method named variational phase-amplitude coupling is proposed to quantify the rhythmic nesting structure in EEGs under emotional processing. The proposed algorithm lies in variational mode decomposition, featured by its robustness to noise artifacts and its merit in avoiding the mode-mixing problem. This novel method reduces the risk of spurious coupling compared to that with ensemble empirical mode decomposition or iterative filter when evaluated by simulations. An atlas of cross-couplings in EEGs under eight emotional processing is established. Mainly, α activity in the anterior frontal region serves as a critical sign for neutral emotional state, whereas γ amplitude seems to be linked with both positive and negative emotional states. Moreover, for those γ -amplitude-related couplings under neutral emotional state, the frontal lobe is associated with lower phase-given frequencies while the central lobe is attached to higher ones. The γ -amplitude-related coupling in EEGs is a promising biomarker for recognizing mental states. We recommend our method as an effective tool in characterizing the entangled multifrequency rhythms in brain signals for emotion neuromodulation.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>37022817</pmid><doi>10.1109/JBHI.2023.3243275</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-4332-6305</orcidid><orcidid>https://orcid.org/0000-0002-6886-2964</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Amplitudes Biomarkers Brain modeling Couplings Decomposition EEG Electroencephalography Emotional factors Emotions Frontal lobe Nesting Neuromodulation Oscillators Phase-amplitude coupling Picture archiving and communication systems Recording Rhythms Risk reduction variational mode decomposition Wiener filters γ amplitude |
title | Variational Phase-Amplitude Coupling Characterizes Signatures of Anterior Cortex under Emotional Processing |
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