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Electroencephalographic Evaluation in Fibromyalgia: A Systematic Review
Introduction. The evaluation of individuals with fibromyalgia is challenging. Electroencephalography is a promising resource for identifying physiological biomarkers in fibromyalgia, contributing to its diagnosis. Objective. To review studies involving the use of electroencephalography to evaluate i...
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Published in: | Clinical EEG and neuroscience 2024-01, Vol.55 (1), p.76-87 |
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creator | de Melo, Géssika Araújo Madruga, Marcela Laís Lima Holmes Torro, Nelson |
description | Introduction. The evaluation of individuals with fibromyalgia is challenging. Electroencephalography is a promising resource for identifying physiological biomarkers in fibromyalgia, contributing to its diagnosis. Objective. To review studies involving the use of electroencephalography to evaluate individuals with fibromyalgia. Method. A systematic review of studies published in the PubMed, Lilacs, and SciELO databases from 2001 to 2020 was conducted. The keywords used were electroencephalogram, electroencephalography, and fibromyalgia. The database search complied with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) criteria. Results. A total of 136 articles were identified after a database search using the keywords “fibromyalgia” AND “electroencephalography”, and 131 articles were found using the keywords “fibromyalgia” AND “electroencephalogram” (EEG). In the end, 20 articles remained after applying the exclusion criteria. The data was organized into subcategories related to the form of use, protocols, electroencephalographic findings in patients with fibromyalgia, and the EEG analysis method. Conclusion. Electroencephalography is a promising method for identifying and characterizing biomarkers for fibromyalgia. |
doi_str_mv | 10.1177/1550059421997128 |
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The evaluation of individuals with fibromyalgia is challenging. Electroencephalography is a promising resource for identifying physiological biomarkers in fibromyalgia, contributing to its diagnosis. Objective. To review studies involving the use of electroencephalography to evaluate individuals with fibromyalgia. Method. A systematic review of studies published in the PubMed, Lilacs, and SciELO databases from 2001 to 2020 was conducted. The keywords used were electroencephalogram, electroencephalography, and fibromyalgia. The database search complied with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) criteria. Results. A total of 136 articles were identified after a database search using the keywords “fibromyalgia” AND “electroencephalography”, and 131 articles were found using the keywords “fibromyalgia” AND “electroencephalogram” (EEG). In the end, 20 articles remained after applying the exclusion criteria. The data was organized into subcategories related to the form of use, protocols, electroencephalographic findings in patients with fibromyalgia, and the EEG analysis method. Conclusion. Electroencephalography is a promising method for identifying and characterizing biomarkers for fibromyalgia.</description><identifier>ISSN: 1550-0594</identifier><identifier>EISSN: 2169-5202</identifier><identifier>DOI: 10.1177/1550059421997128</identifier><identifier>PMID: 33729025</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Biomarkers ; EEG ; Electroencephalography ; Fibromyalgia ; Keywords ; Systematic review</subject><ispartof>Clinical EEG and neuroscience, 2024-01, Vol.55 (1), p.76-87</ispartof><rights>EEG and Clinical Neuroscience Society (ECNS) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-5fcfd3fda9da511e4d8e30b9b43e91447855cdb7aba84ff26f1c992c14af1a113</citedby><cites>FETCH-LOGICAL-c365t-5fcfd3fda9da511e4d8e30b9b43e91447855cdb7aba84ff26f1c992c14af1a113</cites><orcidid>0000-0003-2938-7280</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,79364</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33729025$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>de Melo, Géssika Araújo</creatorcontrib><creatorcontrib>Madruga, Marcela Laís Lima Holmes</creatorcontrib><creatorcontrib>Torro, Nelson</creatorcontrib><title>Electroencephalographic Evaluation in Fibromyalgia: A Systematic Review</title><title>Clinical EEG and neuroscience</title><addtitle>Clinical EEG and Neuroscience</addtitle><description>Introduction. The evaluation of individuals with fibromyalgia is challenging. Electroencephalography is a promising resource for identifying physiological biomarkers in fibromyalgia, contributing to its diagnosis. Objective. To review studies involving the use of electroencephalography to evaluate individuals with fibromyalgia. Method. A systematic review of studies published in the PubMed, Lilacs, and SciELO databases from 2001 to 2020 was conducted. The keywords used were electroencephalogram, electroencephalography, and fibromyalgia. The database search complied with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) criteria. Results. A total of 136 articles were identified after a database search using the keywords “fibromyalgia” AND “electroencephalography”, and 131 articles were found using the keywords “fibromyalgia” AND “electroencephalogram” (EEG). In the end, 20 articles remained after applying the exclusion criteria. The data was organized into subcategories related to the form of use, protocols, electroencephalographic findings in patients with fibromyalgia, and the EEG analysis method. Conclusion. Electroencephalography is a promising method for identifying and characterizing biomarkers for fibromyalgia.</description><subject>Biomarkers</subject><subject>EEG</subject><subject>Electroencephalography</subject><subject>Fibromyalgia</subject><subject>Keywords</subject><subject>Systematic review</subject><issn>1550-0594</issn><issn>2169-5202</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kEtLw0AURgdRbK3uXUnAjZvo3HkkGXeltFUQBB_rMJnMtFPyciap9N-b2qpQcHUX37nnXj6ELgHfAsTxHXCOMReMgBAxkOQIDQlEIuQEk2M03MbhNh-gM-9XGNOIUHaKBpTGRGDCh2g-LbRqXa0rpZulLOqFk83SqmC6lkUnW1tXga2Cmc1cXW5ksbDyPhgHrxvf6rKPVfCi11Z_nqMTIwuvL_ZzhN5n07fJQ_j0PH-cjJ9CRSPehtwok1OTS5FLDqBZnmiKM5ExqgUwFiecqzyLZSYTZgyJDCghiAImDUgAOkI3O2_j6o9O-zYtrVe6KGSl686nhGNCgLAk7tHrA3RVd67qv0tJIgTmwL6FeEcpV3vvtEkbZ0vpNingdFtyelhyv3K1F3dZqfPfhZ9WeyDcAV4u9N_Vf4VfNeSDfQ</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>de Melo, Géssika Araújo</creator><creator>Madruga, Marcela Laís Lima Holmes</creator><creator>Torro, Nelson</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>4T-</scope><scope>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2938-7280</orcidid></search><sort><creationdate>20240101</creationdate><title>Electroencephalographic Evaluation in Fibromyalgia: A Systematic Review</title><author>de Melo, Géssika Araújo ; Madruga, Marcela Laís Lima Holmes ; Torro, Nelson</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-5fcfd3fda9da511e4d8e30b9b43e91447855cdb7aba84ff26f1c992c14af1a113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Biomarkers</topic><topic>EEG</topic><topic>Electroencephalography</topic><topic>Fibromyalgia</topic><topic>Keywords</topic><topic>Systematic review</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Melo, Géssika Araújo</creatorcontrib><creatorcontrib>Madruga, Marcela Laís Lima Holmes</creatorcontrib><creatorcontrib>Torro, Nelson</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Docstoc</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical EEG and neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Melo, Géssika Araújo</au><au>Madruga, Marcela Laís Lima Holmes</au><au>Torro, Nelson</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Electroencephalographic Evaluation in Fibromyalgia: A Systematic Review</atitle><jtitle>Clinical EEG and neuroscience</jtitle><addtitle>Clinical EEG and Neuroscience</addtitle><date>2024-01-01</date><risdate>2024</risdate><volume>55</volume><issue>1</issue><spage>76</spage><epage>87</epage><pages>76-87</pages><issn>1550-0594</issn><eissn>2169-5202</eissn><abstract>Introduction. The evaluation of individuals with fibromyalgia is challenging. Electroencephalography is a promising resource for identifying physiological biomarkers in fibromyalgia, contributing to its diagnosis. Objective. To review studies involving the use of electroencephalography to evaluate individuals with fibromyalgia. Method. A systematic review of studies published in the PubMed, Lilacs, and SciELO databases from 2001 to 2020 was conducted. The keywords used were electroencephalogram, electroencephalography, and fibromyalgia. The database search complied with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) criteria. Results. A total of 136 articles were identified after a database search using the keywords “fibromyalgia” AND “electroencephalography”, and 131 articles were found using the keywords “fibromyalgia” AND “electroencephalogram” (EEG). In the end, 20 articles remained after applying the exclusion criteria. The data was organized into subcategories related to the form of use, protocols, electroencephalographic findings in patients with fibromyalgia, and the EEG analysis method. Conclusion. Electroencephalography is a promising method for identifying and characterizing biomarkers for fibromyalgia.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>33729025</pmid><doi>10.1177/1550059421997128</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-2938-7280</orcidid></addata></record> |
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subjects | Biomarkers EEG Electroencephalography Fibromyalgia Keywords Systematic review |
title | Electroencephalographic Evaluation in Fibromyalgia: A Systematic Review |
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