Diagnostic Usefulness of Linear and Nonlinear Quantitative EEG Analysis in Alzheimer's Disease

The sensitivity of the EEG in early AD is somewhat limited. In this respect spectral analysis is little better than visual assessment. In this study we address the question whether a new type of EEG analysis derived from chaos theory can improve the sensitivity of the EEG. EEGs were recorded in 15 c...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Clinical EEG and neuroscience 1996-04, Vol.27 (2), p.69-77
Hauptverfasser: Stam, C. J., Jelles, B., Achtereekte, H. A. M., van Birgelen, J. H., Slaets, J. P. J.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 77
container_issue 2
container_start_page 69
container_title Clinical EEG and neuroscience
container_volume 27
creator Stam, C. J.
Jelles, B.
Achtereekte, H. A. M.
van Birgelen, J. H.
Slaets, J. P. J.
description The sensitivity of the EEG in early AD is somewhat limited. In this respect spectral analysis is little better than visual assessment. In this study we address the question whether a new type of EEG analysis derived from chaos theory can improve the sensitivity of the EEG. EEGs were recorded in 15 control subjects and 15 patients with mild AD. The EEG recorded at 02 and 01 during eyes closed and eyes open conditions was subjected to spectral analysis (relative power) and nonlinear analysis (calculation of the correlation dimension D2). AD patients had more relative theta power and impaired reactivity in alpha, delta and theta bands. Also, reactivity of the D2 was impaired in AD subjects. For a specificity of 100%, relative theta power had the highest sensitivity (46.7%). Alpha band reactivity at O1 had a sensitivity of 40% and D2 reactivity at O1 had a sensitivity of 33.3%. Combining theta power with alpha reactivity resulted in a sensitivity of 53.3%; combining theta with D2 reactivity resulted in a sensitivity of 60%. Used in isolation, linear analysis was superior in differentiating AD patients from controls. The best results were obtained by combining linear with nonlinear measures. This approach does not seem practical yet, but deserves further study.
doi_str_mv 10.1177/155005949602700205
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_78090629</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_155005949602700205</sage_id><sourcerecordid>1988353081</sourcerecordid><originalsourceid>FETCH-LOGICAL-c395t-2864bc6d911f0e3cbe0d5a03ce58875d58ea7a51dfb27b0ff8468ddde94b65053</originalsourceid><addsrcrecordid>eNp1kNFrFDEQxoMo9aj9BwQhoNintZPsJps8Hu3ZCoci2FeXbDKpKXvZmtkt1L_eLXcUUXwahu8338x8jL0W8EGItj0TSgEo21gNsgWQoJ6xlRTaVkqCfM5WAGAru2Av2QnRLTz2LQiwR-zIaCMarVbs-0VyN3mkKXl-TRjnISMRHyPfpoyucJcD_zzmYd99nV2e0uSmdI98s7nk6-yGB0rEU-br4dcPTDssp8QvEqEjfMVeRDcQnhzqMbv-uPl2flVtv1x-Ol9vK19bNVXS6Kb3OlghImDte4SgHNQelTGtCsqga50SIfay7SFG02gTQkDb9FqBqo_Z-73vXRl_zkhTt0vkcRhcxnGmrjVgQUu7gG__Am_HuSxPUCesMbWqwYiFknvKl5GoYOzuStq58tAJ6B7T7_5Nfxl6c7Ce-x2Gp5FD1ov-7qA78m6IxWWf6AmroRamaRbsbI-Ru8E_rvv_4t_37ZhN</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1988353081</pqid></control><display><type>article</type><title>Diagnostic Usefulness of Linear and Nonlinear Quantitative EEG Analysis in Alzheimer's Disease</title><source>MEDLINE</source><source>SAGE Complete</source><creator>Stam, C. J. ; Jelles, B. ; Achtereekte, H. A. M. ; van Birgelen, J. H. ; Slaets, J. P. J.</creator><creatorcontrib>Stam, C. J. ; Jelles, B. ; Achtereekte, H. A. M. ; van Birgelen, J. H. ; Slaets, J. P. J.</creatorcontrib><description>The sensitivity of the EEG in early AD is somewhat limited. In this respect spectral analysis is little better than visual assessment. In this study we address the question whether a new type of EEG analysis derived from chaos theory can improve the sensitivity of the EEG. EEGs were recorded in 15 control subjects and 15 patients with mild AD. The EEG recorded at 02 and 01 during eyes closed and eyes open conditions was subjected to spectral analysis (relative power) and nonlinear analysis (calculation of the correlation dimension D2). AD patients had more relative theta power and impaired reactivity in alpha, delta and theta bands. Also, reactivity of the D2 was impaired in AD subjects. For a specificity of 100%, relative theta power had the highest sensitivity (46.7%). Alpha band reactivity at O1 had a sensitivity of 40% and D2 reactivity at O1 had a sensitivity of 33.3%. Combining theta power with alpha reactivity resulted in a sensitivity of 53.3%; combining theta with D2 reactivity resulted in a sensitivity of 60%. Used in isolation, linear analysis was superior in differentiating AD patients from controls. The best results were obtained by combining linear with nonlinear measures. This approach does not seem practical yet, but deserves further study.</description><identifier>ISSN: 0009-9155</identifier><identifier>ISSN: 1550-0594</identifier><identifier>EISSN: 2169-5202</identifier><identifier>DOI: 10.1177/155005949602700205</identifier><identifier>PMID: 8681465</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Aged ; Aged, 80 and over ; Alzheimer Disease - diagnosis ; Alzheimer Disease - physiopathology ; Alzheimer's disease ; Arousal - physiology ; Biological and medical sciences ; Chaos theory ; Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases ; Discriminant analysis ; Dominance, Cerebral - physiology ; EEG ; Electroencephalography - instrumentation ; Female ; Fourier Analysis ; Humans ; Male ; Medical diagnosis ; Medical sciences ; Middle Aged ; Neurodegenerative diseases ; Neurology ; Noise ; Reference Values ; Sensory Deprivation - physiology ; Signal Processing, Computer-Assisted - instrumentation ; Studies ; Theta Rhythm ; Time series</subject><ispartof>Clinical EEG and neuroscience, 1996-04, Vol.27 (2), p.69-77</ispartof><rights>1996 EEG and Clinical Neuroscience Society</rights><rights>1996 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-2864bc6d911f0e3cbe0d5a03ce58875d58ea7a51dfb27b0ff8468ddde94b65053</citedby><cites>FETCH-LOGICAL-c395t-2864bc6d911f0e3cbe0d5a03ce58875d58ea7a51dfb27b0ff8468ddde94b65053</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/155005949602700205$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/155005949602700205$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>309,310,314,776,780,785,786,21798,23909,23910,25118,27901,27902,43597,43598</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=3031844$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/8681465$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stam, C. J.</creatorcontrib><creatorcontrib>Jelles, B.</creatorcontrib><creatorcontrib>Achtereekte, H. A. M.</creatorcontrib><creatorcontrib>van Birgelen, J. H.</creatorcontrib><creatorcontrib>Slaets, J. P. J.</creatorcontrib><title>Diagnostic Usefulness of Linear and Nonlinear Quantitative EEG Analysis in Alzheimer's Disease</title><title>Clinical EEG and neuroscience</title><addtitle>Clin Electroencephalogr</addtitle><description>The sensitivity of the EEG in early AD is somewhat limited. In this respect spectral analysis is little better than visual assessment. In this study we address the question whether a new type of EEG analysis derived from chaos theory can improve the sensitivity of the EEG. EEGs were recorded in 15 control subjects and 15 patients with mild AD. The EEG recorded at 02 and 01 during eyes closed and eyes open conditions was subjected to spectral analysis (relative power) and nonlinear analysis (calculation of the correlation dimension D2). AD patients had more relative theta power and impaired reactivity in alpha, delta and theta bands. Also, reactivity of the D2 was impaired in AD subjects. For a specificity of 100%, relative theta power had the highest sensitivity (46.7%). Alpha band reactivity at O1 had a sensitivity of 40% and D2 reactivity at O1 had a sensitivity of 33.3%. Combining theta power with alpha reactivity resulted in a sensitivity of 53.3%; combining theta with D2 reactivity resulted in a sensitivity of 60%. Used in isolation, linear analysis was superior in differentiating AD patients from controls. The best results were obtained by combining linear with nonlinear measures. This approach does not seem practical yet, but deserves further study.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alzheimer Disease - diagnosis</subject><subject>Alzheimer Disease - physiopathology</subject><subject>Alzheimer's disease</subject><subject>Arousal - physiology</subject><subject>Biological and medical sciences</subject><subject>Chaos theory</subject><subject>Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases</subject><subject>Discriminant analysis</subject><subject>Dominance, Cerebral - physiology</subject><subject>EEG</subject><subject>Electroencephalography - instrumentation</subject><subject>Female</subject><subject>Fourier Analysis</subject><subject>Humans</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Neurodegenerative diseases</subject><subject>Neurology</subject><subject>Noise</subject><subject>Reference Values</subject><subject>Sensory Deprivation - physiology</subject><subject>Signal Processing, Computer-Assisted - instrumentation</subject><subject>Studies</subject><subject>Theta Rhythm</subject><subject>Time series</subject><issn>0009-9155</issn><issn>1550-0594</issn><issn>2169-5202</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kNFrFDEQxoMo9aj9BwQhoNintZPsJps8Hu3ZCoci2FeXbDKpKXvZmtkt1L_eLXcUUXwahu8338x8jL0W8EGItj0TSgEo21gNsgWQoJ6xlRTaVkqCfM5WAGAru2Av2QnRLTz2LQiwR-zIaCMarVbs-0VyN3mkKXl-TRjnISMRHyPfpoyucJcD_zzmYd99nV2e0uSmdI98s7nk6-yGB0rEU-br4dcPTDssp8QvEqEjfMVeRDcQnhzqMbv-uPl2flVtv1x-Ol9vK19bNVXS6Kb3OlghImDte4SgHNQelTGtCsqga50SIfay7SFG02gTQkDb9FqBqo_Z-73vXRl_zkhTt0vkcRhcxnGmrjVgQUu7gG__Am_HuSxPUCesMbWqwYiFknvKl5GoYOzuStq58tAJ6B7T7_5Nfxl6c7Ce-x2Gp5FD1ov-7qA78m6IxWWf6AmroRamaRbsbI-Ru8E_rvv_4t_37ZhN</recordid><startdate>19960401</startdate><enddate>19960401</enddate><creator>Stam, C. J.</creator><creator>Jelles, B.</creator><creator>Achtereekte, H. A. M.</creator><creator>van Birgelen, J. H.</creator><creator>Slaets, J. P. J.</creator><general>SAGE Publications</general><general>ECNS</general><general>SAGE PUBLICATIONS, INC</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>4T-</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>19960401</creationdate><title>Diagnostic Usefulness of Linear and Nonlinear Quantitative EEG Analysis in Alzheimer's Disease</title><author>Stam, C. J. ; Jelles, B. ; Achtereekte, H. A. M. ; van Birgelen, J. H. ; Slaets, J. P. J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-2864bc6d911f0e3cbe0d5a03ce58875d58ea7a51dfb27b0ff8468ddde94b65053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alzheimer Disease - diagnosis</topic><topic>Alzheimer Disease - physiopathology</topic><topic>Alzheimer's disease</topic><topic>Arousal - physiology</topic><topic>Biological and medical sciences</topic><topic>Chaos theory</topic><topic>Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases</topic><topic>Discriminant analysis</topic><topic>Dominance, Cerebral - physiology</topic><topic>EEG</topic><topic>Electroencephalography - instrumentation</topic><topic>Female</topic><topic>Fourier Analysis</topic><topic>Humans</topic><topic>Male</topic><topic>Medical diagnosis</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Neurodegenerative diseases</topic><topic>Neurology</topic><topic>Noise</topic><topic>Reference Values</topic><topic>Sensory Deprivation - physiology</topic><topic>Signal Processing, Computer-Assisted - instrumentation</topic><topic>Studies</topic><topic>Theta Rhythm</topic><topic>Time series</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stam, C. J.</creatorcontrib><creatorcontrib>Jelles, B.</creatorcontrib><creatorcontrib>Achtereekte, H. A. M.</creatorcontrib><creatorcontrib>van Birgelen, J. H.</creatorcontrib><creatorcontrib>Slaets, J. P. J.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>Proquest Nursing &amp; Allied Health Source</collection><collection>Neurosciences Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical EEG and neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stam, C. J.</au><au>Jelles, B.</au><au>Achtereekte, H. A. M.</au><au>van Birgelen, J. H.</au><au>Slaets, J. P. J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic Usefulness of Linear and Nonlinear Quantitative EEG Analysis in Alzheimer's Disease</atitle><jtitle>Clinical EEG and neuroscience</jtitle><addtitle>Clin Electroencephalogr</addtitle><date>1996-04-01</date><risdate>1996</risdate><volume>27</volume><issue>2</issue><spage>69</spage><epage>77</epage><pages>69-77</pages><issn>0009-9155</issn><issn>1550-0594</issn><eissn>2169-5202</eissn><abstract>The sensitivity of the EEG in early AD is somewhat limited. In this respect spectral analysis is little better than visual assessment. In this study we address the question whether a new type of EEG analysis derived from chaos theory can improve the sensitivity of the EEG. EEGs were recorded in 15 control subjects and 15 patients with mild AD. The EEG recorded at 02 and 01 during eyes closed and eyes open conditions was subjected to spectral analysis (relative power) and nonlinear analysis (calculation of the correlation dimension D2). AD patients had more relative theta power and impaired reactivity in alpha, delta and theta bands. Also, reactivity of the D2 was impaired in AD subjects. For a specificity of 100%, relative theta power had the highest sensitivity (46.7%). Alpha band reactivity at O1 had a sensitivity of 40% and D2 reactivity at O1 had a sensitivity of 33.3%. Combining theta power with alpha reactivity resulted in a sensitivity of 53.3%; combining theta with D2 reactivity resulted in a sensitivity of 60%. Used in isolation, linear analysis was superior in differentiating AD patients from controls. The best results were obtained by combining linear with nonlinear measures. This approach does not seem practical yet, but deserves further study.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>8681465</pmid><doi>10.1177/155005949602700205</doi><tpages>9</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0009-9155
ispartof Clinical EEG and neuroscience, 1996-04, Vol.27 (2), p.69-77
issn 0009-9155
1550-0594
2169-5202
language eng
recordid cdi_proquest_miscellaneous_78090629
source MEDLINE; SAGE Complete
subjects Aged
Aged, 80 and over
Alzheimer Disease - diagnosis
Alzheimer Disease - physiopathology
Alzheimer's disease
Arousal - physiology
Biological and medical sciences
Chaos theory
Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases
Discriminant analysis
Dominance, Cerebral - physiology
EEG
Electroencephalography - instrumentation
Female
Fourier Analysis
Humans
Male
Medical diagnosis
Medical sciences
Middle Aged
Neurodegenerative diseases
Neurology
Noise
Reference Values
Sensory Deprivation - physiology
Signal Processing, Computer-Assisted - instrumentation
Studies
Theta Rhythm
Time series
title Diagnostic Usefulness of Linear and Nonlinear Quantitative EEG Analysis in Alzheimer's Disease
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T00%3A42%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Diagnostic%20Usefulness%20of%20Linear%20and%20Nonlinear%20Quantitative%20EEG%20Analysis%20in%20Alzheimer's%20Disease&rft.jtitle=Clinical%20EEG%20and%20neuroscience&rft.au=Stam,%20C.%20J.&rft.date=1996-04-01&rft.volume=27&rft.issue=2&rft.spage=69&rft.epage=77&rft.pages=69-77&rft.issn=0009-9155&rft.eissn=2169-5202&rft_id=info:doi/10.1177/155005949602700205&rft_dat=%3Cproquest_cross%3E1988353081%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1988353081&rft_id=info:pmid/8681465&rft_sage_id=10.1177_155005949602700205&rfr_iscdi=true