Added Value of QEEG for the Differential Diagnosis of Common Forms of Dementia

Introduction Quantitative electroencephalography (QEEG) has been documented as a helpful tool in the differential diagnosis of Alzheimer’s disease (AD) with common forms of dementia. The main objective of the study was to assess the role of QEEG in AD differential diagnosis with other forms of demen...

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Veröffentlicht in:Clinical EEG and neuroscience 2021-07, Vol.52 (3), p.201-210
Hauptverfasser: Livinț Popa, Livia, Dragoș, Hanna-Maria, Strilciuc, Ștefan, Pantelemon, Cristina, Mureșanu, Ioana, Dina, Constantin, Văcăraș, Vitalie, Mureșanu, Dafin
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container_end_page 210
container_issue 3
container_start_page 201
container_title Clinical EEG and neuroscience
container_volume 52
creator Livinț Popa, Livia
Dragoș, Hanna-Maria
Strilciuc, Ștefan
Pantelemon, Cristina
Mureșanu, Ioana
Dina, Constantin
Văcăraș, Vitalie
Mureșanu, Dafin
description Introduction Quantitative electroencephalography (QEEG) has been documented as a helpful tool in the differential diagnosis of Alzheimer’s disease (AD) with common forms of dementia. The main objective of the study was to assess the role of QEEG in AD differential diagnosis with other forms of dementia: Lewy body dementia (LBD), Parkinson’s disease dementia (PDD), frontotemporal dementia (FTD), and vascular dementia (VaD). Methods We searched PubMed, Embase, and PsycNET, for articles in English published in peer-reviewed journals from January 1, 1980 to April 23, 2019 using adapted search strategies containing keywords quantitative EEG and Alzheimer. The risk of bias was assessed by applying the QUADAS tool. The systematic review was conducted in line with the PRISMA methodology. Results We identified 10 articles showcasing QEEG features used in diagnosing dementia, EEG slowing phenomena in AD and PDD, coherence changes in AD and VaD, the role of LORETA in dementia, and the controversial QEEG pattern in FTD. Results vary significantly in terms of sociodemographic features of the studied population, neuropsychological assessment, signal acquisition and processing, and methods of analysis. Discussion This article provides a comparative synthesis of existing evidence on the role of QEEG in diagnosing dementia, highlighting some specific features for different types of dementia (eg, the slow-wave activity has been remarked in both AD and PDD, but more pronounced in PDD patients, a diminution in anterior and posterior alpha coherence was noticed in AD, and a lower alpha coherence in the left temporal-parietal-occipital regions was observed in VaD). Conclusion QEEG may be a useful investigation for settling the diagnosis of common forms of dementia. Further research of quantitative analyses is warranted, particularly on the association between QEEG, neuropsychological, and imaging features. In conjunction, these methods may provide superior diagnostic accuracy in the diagnosis of dementia.
doi_str_mv 10.1177/1550059420971122
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The main objective of the study was to assess the role of QEEG in AD differential diagnosis with other forms of dementia: Lewy body dementia (LBD), Parkinson’s disease dementia (PDD), frontotemporal dementia (FTD), and vascular dementia (VaD). Methods We searched PubMed, Embase, and PsycNET, for articles in English published in peer-reviewed journals from January 1, 1980 to April 23, 2019 using adapted search strategies containing keywords quantitative EEG and Alzheimer. The risk of bias was assessed by applying the QUADAS tool. The systematic review was conducted in line with the PRISMA methodology. Results We identified 10 articles showcasing QEEG features used in diagnosing dementia, EEG slowing phenomena in AD and PDD, coherence changes in AD and VaD, the role of LORETA in dementia, and the controversial QEEG pattern in FTD. Results vary significantly in terms of sociodemographic features of the studied population, neuropsychological assessment, signal acquisition and processing, and methods of analysis. Discussion This article provides a comparative synthesis of existing evidence on the role of QEEG in diagnosing dementia, highlighting some specific features for different types of dementia (eg, the slow-wave activity has been remarked in both AD and PDD, but more pronounced in PDD patients, a diminution in anterior and posterior alpha coherence was noticed in AD, and a lower alpha coherence in the left temporal-parietal-occipital regions was observed in VaD). Conclusion QEEG may be a useful investigation for settling the diagnosis of common forms of dementia. Further research of quantitative analyses is warranted, particularly on the association between QEEG, neuropsychological, and imaging features. In conjunction, these methods may provide superior diagnostic accuracy in the diagnosis of dementia.</description><identifier>ISSN: 1550-0594</identifier><identifier>EISSN: 2169-5202</identifier><identifier>DOI: 10.1177/1550059420971122</identifier><identifier>PMID: 33166175</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Alzheimer Disease - diagnosis ; Alzheimer's disease ; Dementia ; Dementia disorders ; Diagnosis, Differential ; Differential diagnosis ; EEG ; Electroencephalography ; Frontotemporal dementia ; Humans ; Information processing ; Lewy bodies ; Lewy Body Disease - diagnosis ; Medical diagnosis ; Movement disorders ; Neurodegenerative diseases ; Parkinson Disease - diagnosis ; Parkinson's disease ; Population studies ; Vascular dementia</subject><ispartof>Clinical EEG and neuroscience, 2021-07, Vol.52 (3), p.201-210</ispartof><rights>EEG and Clinical Neuroscience Society (ECNS) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-72b90f2f9a51bec37ab4de0097d661964acbc1aee70832b249266305d025abd83</citedby><cites>FETCH-LOGICAL-c365t-72b90f2f9a51bec37ab4de0097d661964acbc1aee70832b249266305d025abd83</cites><orcidid>0000-0001-6112-0223</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/1550059420971122$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/1550059420971122$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21818,27923,27924,43620,43621</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33166175$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Livinț Popa, Livia</creatorcontrib><creatorcontrib>Dragoș, Hanna-Maria</creatorcontrib><creatorcontrib>Strilciuc, Ștefan</creatorcontrib><creatorcontrib>Pantelemon, Cristina</creatorcontrib><creatorcontrib>Mureșanu, Ioana</creatorcontrib><creatorcontrib>Dina, Constantin</creatorcontrib><creatorcontrib>Văcăraș, Vitalie</creatorcontrib><creatorcontrib>Mureșanu, Dafin</creatorcontrib><title>Added Value of QEEG for the Differential Diagnosis of Common Forms of Dementia</title><title>Clinical EEG and neuroscience</title><addtitle>Clin EEG Neurosci</addtitle><description>Introduction Quantitative electroencephalography (QEEG) has been documented as a helpful tool in the differential diagnosis of Alzheimer’s disease (AD) with common forms of dementia. The main objective of the study was to assess the role of QEEG in AD differential diagnosis with other forms of dementia: Lewy body dementia (LBD), Parkinson’s disease dementia (PDD), frontotemporal dementia (FTD), and vascular dementia (VaD). Methods We searched PubMed, Embase, and PsycNET, for articles in English published in peer-reviewed journals from January 1, 1980 to April 23, 2019 using adapted search strategies containing keywords quantitative EEG and Alzheimer. The risk of bias was assessed by applying the QUADAS tool. The systematic review was conducted in line with the PRISMA methodology. Results We identified 10 articles showcasing QEEG features used in diagnosing dementia, EEG slowing phenomena in AD and PDD, coherence changes in AD and VaD, the role of LORETA in dementia, and the controversial QEEG pattern in FTD. Results vary significantly in terms of sociodemographic features of the studied population, neuropsychological assessment, signal acquisition and processing, and methods of analysis. Discussion This article provides a comparative synthesis of existing evidence on the role of QEEG in diagnosing dementia, highlighting some specific features for different types of dementia (eg, the slow-wave activity has been remarked in both AD and PDD, but more pronounced in PDD patients, a diminution in anterior and posterior alpha coherence was noticed in AD, and a lower alpha coherence in the left temporal-parietal-occipital regions was observed in VaD). Conclusion QEEG may be a useful investigation for settling the diagnosis of common forms of dementia. Further research of quantitative analyses is warranted, particularly on the association between QEEG, neuropsychological, and imaging features. 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Dragoș, Hanna-Maria ; Strilciuc, Ștefan ; Pantelemon, Cristina ; Mureșanu, Ioana ; Dina, Constantin ; Văcăraș, Vitalie ; Mureșanu, Dafin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-72b90f2f9a51bec37ab4de0097d661964acbc1aee70832b249266305d025abd83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alzheimer Disease - diagnosis</topic><topic>Alzheimer's disease</topic><topic>Dementia</topic><topic>Dementia disorders</topic><topic>Diagnosis, Differential</topic><topic>Differential diagnosis</topic><topic>EEG</topic><topic>Electroencephalography</topic><topic>Frontotemporal dementia</topic><topic>Humans</topic><topic>Information processing</topic><topic>Lewy bodies</topic><topic>Lewy Body Disease - diagnosis</topic><topic>Medical diagnosis</topic><topic>Movement disorders</topic><topic>Neurodegenerative diseases</topic><topic>Parkinson Disease - diagnosis</topic><topic>Parkinson's disease</topic><topic>Population studies</topic><topic>Vascular dementia</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Livinț Popa, Livia</creatorcontrib><creatorcontrib>Dragoș, Hanna-Maria</creatorcontrib><creatorcontrib>Strilciuc, Ștefan</creatorcontrib><creatorcontrib>Pantelemon, Cristina</creatorcontrib><creatorcontrib>Mureșanu, Ioana</creatorcontrib><creatorcontrib>Dina, Constantin</creatorcontrib><creatorcontrib>Văcăraș, Vitalie</creatorcontrib><creatorcontrib>Mureșanu, Dafin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Docstoc</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; 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>Livinț Popa, Livia</au><au>Dragoș, Hanna-Maria</au><au>Strilciuc, Ștefan</au><au>Pantelemon, Cristina</au><au>Mureșanu, Ioana</au><au>Dina, Constantin</au><au>Văcăraș, Vitalie</au><au>Mureșanu, Dafin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Added Value of QEEG for the Differential Diagnosis of Common Forms of Dementia</atitle><jtitle>Clinical EEG and neuroscience</jtitle><addtitle>Clin EEG Neurosci</addtitle><date>2021-07-01</date><risdate>2021</risdate><volume>52</volume><issue>3</issue><spage>201</spage><epage>210</epage><pages>201-210</pages><issn>1550-0594</issn><eissn>2169-5202</eissn><abstract>Introduction Quantitative electroencephalography (QEEG) has been documented as a helpful tool in the differential diagnosis of Alzheimer’s disease (AD) with common forms of dementia. The main objective of the study was to assess the role of QEEG in AD differential diagnosis with other forms of dementia: Lewy body dementia (LBD), Parkinson’s disease dementia (PDD), frontotemporal dementia (FTD), and vascular dementia (VaD). Methods We searched PubMed, Embase, and PsycNET, for articles in English published in peer-reviewed journals from January 1, 1980 to April 23, 2019 using adapted search strategies containing keywords quantitative EEG and Alzheimer. The risk of bias was assessed by applying the QUADAS tool. The systematic review was conducted in line with the PRISMA methodology. Results We identified 10 articles showcasing QEEG features used in diagnosing dementia, EEG slowing phenomena in AD and PDD, coherence changes in AD and VaD, the role of LORETA in dementia, and the controversial QEEG pattern in FTD. Results vary significantly in terms of sociodemographic features of the studied population, neuropsychological assessment, signal acquisition and processing, and methods of analysis. Discussion This article provides a comparative synthesis of existing evidence on the role of QEEG in diagnosing dementia, highlighting some specific features for different types of dementia (eg, the slow-wave activity has been remarked in both AD and PDD, but more pronounced in PDD patients, a diminution in anterior and posterior alpha coherence was noticed in AD, and a lower alpha coherence in the left temporal-parietal-occipital regions was observed in VaD). Conclusion QEEG may be a useful investigation for settling the diagnosis of common forms of dementia. Further research of quantitative analyses is warranted, particularly on the association between QEEG, neuropsychological, and imaging features. 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subjects Alzheimer Disease - diagnosis
Alzheimer's disease
Dementia
Dementia disorders
Diagnosis, Differential
Differential diagnosis
EEG
Electroencephalography
Frontotemporal dementia
Humans
Information processing
Lewy bodies
Lewy Body Disease - diagnosis
Medical diagnosis
Movement disorders
Neurodegenerative diseases
Parkinson Disease - diagnosis
Parkinson's disease
Population studies
Vascular dementia
title Added Value of QEEG for the Differential Diagnosis of Common Forms of Dementia
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