Scaling properties of fluctuations in the human electroencephalogram

The fluctuation properties of the human electroencephalogram time series are studied using detrended fluctuation analysis. For nearly all 128 channels in each of the 28 subjects studied, it is found that the standard deviation of the fluctuations exhibits scaling behaviors in two regions. Topographi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics Statistical physics, plasmas, fluids, and related interdisciplinary topics, 2002-08, Vol.66 (2 Pt 1), p.021901-021901, Article 021901
Hauptverfasser: Hwa, Rudolph C, Ferree, Thomas C
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 021901
container_issue 2 Pt 1
container_start_page 021901
container_title Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
container_volume 66
creator Hwa, Rudolph C
Ferree, Thomas C
description The fluctuation properties of the human electroencephalogram time series are studied using detrended fluctuation analysis. For nearly all 128 channels in each of the 28 subjects studied, it is found that the standard deviation of the fluctuations exhibits scaling behaviors in two regions. Topographical plots of the scaling exponents reveal the spatial structure of the nonlinear electrical activities recorded on the scalp. Moment analyses are performed to summarize the global variability across channels. The correlation between the two scaling exponents in each channel is also examined. Two global measures are found that succinctly characterize the overall properties of the fluctuation behaviors of the brain dynamics for each subject. Together they distinguish the stroke subjects from the normal ones with 90% accuracy, suggesting the possibility that this analysis could lead to an effective diagnostic tool.
doi_str_mv 10.1103/physreve.66.021901
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_72111813</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>72111813</sourcerecordid><originalsourceid>FETCH-LOGICAL-c437t-55e6be3508762bbf0195a8fb5e3c963d97d9d4e7881da354b2e0aac56e39420a3</originalsourceid><addsrcrecordid>eNpFkMtOwzAURC0EoqXwAyxQVuxSfO3YsZeolIdUCcRjbTnOTROUF3ZSqX9PUCuxmlnMjEaHkGugSwDK7_pyHzzucCnlkjLQFE7IHKgWMU9Vejp5wfXkhZiRixC-KeWMq-SczICxBBhVc_Lw4Wxdtduo912PfqgwRF0RFfXohtEOVdeGqGqjocSoHBvbRlijG3yHrcO-tHW39ba5JGeFrQNeHXVBvh7Xn6vnePP69LK638Qu4ekQC4EyQy6oSiXLsoKCFlYVmUDutOS5TnOdJ5gqBbnlIskYUmudkMh1wqjlC3J72J3O_owYBtNUwWFd2xa7MZiUAYACPgXZIeh8FyZGhel91Vi_N0DNHzvzNrF7x93aSGkO7KbSzXF9zBrM_ytHWPwXcy5tIw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>72111813</pqid></control><display><type>article</type><title>Scaling properties of fluctuations in the human electroencephalogram</title><source>MEDLINE</source><source>American Physical Society Journals</source><creator>Hwa, Rudolph C ; Ferree, Thomas C</creator><creatorcontrib>Hwa, Rudolph C ; Ferree, Thomas C</creatorcontrib><description>The fluctuation properties of the human electroencephalogram time series are studied using detrended fluctuation analysis. For nearly all 128 channels in each of the 28 subjects studied, it is found that the standard deviation of the fluctuations exhibits scaling behaviors in two regions. Topographical plots of the scaling exponents reveal the spatial structure of the nonlinear electrical activities recorded on the scalp. Moment analyses are performed to summarize the global variability across channels. The correlation between the two scaling exponents in each channel is also examined. Two global measures are found that succinctly characterize the overall properties of the fluctuation behaviors of the brain dynamics for each subject. Together they distinguish the stroke subjects from the normal ones with 90% accuracy, suggesting the possibility that this analysis could lead to an effective diagnostic tool.</description><identifier>ISSN: 1539-3755</identifier><identifier>ISSN: 1063-651X</identifier><identifier>EISSN: 1095-3787</identifier><identifier>DOI: 10.1103/physreve.66.021901</identifier><identifier>PMID: 12241208</identifier><language>eng</language><publisher>United States</publisher><subject>Brain - physiology ; Electroencephalography - methods ; Humans ; Kinetics ; Models, Statistical ; Statistics as Topic - methods ; Stroke - diagnosis ; Time Factors</subject><ispartof>Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 2002-08, Vol.66 (2 Pt 1), p.021901-021901, Article 021901</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c437t-55e6be3508762bbf0195a8fb5e3c963d97d9d4e7881da354b2e0aac56e39420a3</citedby><cites>FETCH-LOGICAL-c437t-55e6be3508762bbf0195a8fb5e3c963d97d9d4e7881da354b2e0aac56e39420a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,2876,2877,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12241208$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hwa, Rudolph C</creatorcontrib><creatorcontrib>Ferree, Thomas C</creatorcontrib><title>Scaling properties of fluctuations in the human electroencephalogram</title><title>Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics</title><addtitle>Phys Rev E Stat Nonlin Soft Matter Phys</addtitle><description>The fluctuation properties of the human electroencephalogram time series are studied using detrended fluctuation analysis. For nearly all 128 channels in each of the 28 subjects studied, it is found that the standard deviation of the fluctuations exhibits scaling behaviors in two regions. Topographical plots of the scaling exponents reveal the spatial structure of the nonlinear electrical activities recorded on the scalp. Moment analyses are performed to summarize the global variability across channels. The correlation between the two scaling exponents in each channel is also examined. Two global measures are found that succinctly characterize the overall properties of the fluctuation behaviors of the brain dynamics for each subject. Together they distinguish the stroke subjects from the normal ones with 90% accuracy, suggesting the possibility that this analysis could lead to an effective diagnostic tool.</description><subject>Brain - physiology</subject><subject>Electroencephalography - methods</subject><subject>Humans</subject><subject>Kinetics</subject><subject>Models, Statistical</subject><subject>Statistics as Topic - methods</subject><subject>Stroke - diagnosis</subject><subject>Time Factors</subject><issn>1539-3755</issn><issn>1063-651X</issn><issn>1095-3787</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpFkMtOwzAURC0EoqXwAyxQVuxSfO3YsZeolIdUCcRjbTnOTROUF3ZSqX9PUCuxmlnMjEaHkGugSwDK7_pyHzzucCnlkjLQFE7IHKgWMU9Vejp5wfXkhZiRixC-KeWMq-SczICxBBhVc_Lw4Wxdtduo912PfqgwRF0RFfXohtEOVdeGqGqjocSoHBvbRlijG3yHrcO-tHW39ba5JGeFrQNeHXVBvh7Xn6vnePP69LK638Qu4ekQC4EyQy6oSiXLsoKCFlYVmUDutOS5TnOdJ5gqBbnlIskYUmudkMh1wqjlC3J72J3O_owYBtNUwWFd2xa7MZiUAYACPgXZIeh8FyZGhel91Vi_N0DNHzvzNrF7x93aSGkO7KbSzXF9zBrM_ytHWPwXcy5tIw</recordid><startdate>20020801</startdate><enddate>20020801</enddate><creator>Hwa, Rudolph C</creator><creator>Ferree, Thomas C</creator><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>7X8</scope></search><sort><creationdate>20020801</creationdate><title>Scaling properties of fluctuations in the human electroencephalogram</title><author>Hwa, Rudolph C ; Ferree, Thomas C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c437t-55e6be3508762bbf0195a8fb5e3c963d97d9d4e7881da354b2e0aac56e39420a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Brain - physiology</topic><topic>Electroencephalography - methods</topic><topic>Humans</topic><topic>Kinetics</topic><topic>Models, Statistical</topic><topic>Statistics as Topic - methods</topic><topic>Stroke - diagnosis</topic><topic>Time Factors</topic><toplevel>online_resources</toplevel><creatorcontrib>Hwa, Rudolph C</creatorcontrib><creatorcontrib>Ferree, Thomas C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hwa, Rudolph C</au><au>Ferree, Thomas C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Scaling properties of fluctuations in the human electroencephalogram</atitle><jtitle>Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics</jtitle><addtitle>Phys Rev E Stat Nonlin Soft Matter Phys</addtitle><date>2002-08-01</date><risdate>2002</risdate><volume>66</volume><issue>2 Pt 1</issue><spage>021901</spage><epage>021901</epage><pages>021901-021901</pages><artnum>021901</artnum><issn>1539-3755</issn><issn>1063-651X</issn><eissn>1095-3787</eissn><abstract>The fluctuation properties of the human electroencephalogram time series are studied using detrended fluctuation analysis. For nearly all 128 channels in each of the 28 subjects studied, it is found that the standard deviation of the fluctuations exhibits scaling behaviors in two regions. Topographical plots of the scaling exponents reveal the spatial structure of the nonlinear electrical activities recorded on the scalp. Moment analyses are performed to summarize the global variability across channels. The correlation between the two scaling exponents in each channel is also examined. Two global measures are found that succinctly characterize the overall properties of the fluctuation behaviors of the brain dynamics for each subject. Together they distinguish the stroke subjects from the normal ones with 90% accuracy, suggesting the possibility that this analysis could lead to an effective diagnostic tool.</abstract><cop>United States</cop><pmid>12241208</pmid><doi>10.1103/physreve.66.021901</doi><tpages>1</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1539-3755
ispartof Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 2002-08, Vol.66 (2 Pt 1), p.021901-021901, Article 021901
issn 1539-3755
1063-651X
1095-3787
language eng
recordid cdi_proquest_miscellaneous_72111813
source MEDLINE; American Physical Society Journals
subjects Brain - physiology
Electroencephalography - methods
Humans
Kinetics
Models, Statistical
Statistics as Topic - methods
Stroke - diagnosis
Time Factors
title Scaling properties of fluctuations in the human electroencephalogram
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T20%3A07%3A49IST&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=Scaling%20properties%20of%20fluctuations%20in%20the%20human%20electroencephalogram&rft.jtitle=Physical%20review.%20E,%20Statistical%20physics,%20plasmas,%20fluids,%20and%20related%20interdisciplinary%20topics&rft.au=Hwa,%20Rudolph%20C&rft.date=2002-08-01&rft.volume=66&rft.issue=2%20Pt%201&rft.spage=021901&rft.epage=021901&rft.pages=021901-021901&rft.artnum=021901&rft.issn=1539-3755&rft.eissn=1095-3787&rft_id=info:doi/10.1103/physreve.66.021901&rft_dat=%3Cproquest_cross%3E72111813%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=72111813&rft_id=info:pmid/12241208&rfr_iscdi=true