Quasi-periodic fluctuations in default mode network electrophysiology
The study of human brain electrophysiology has extended beyond traditional frequency ranges identified by the classical EEG rhythms, encompassing both higher and lower frequencies. Changes in high-gamma-band (>70 Hz) power have been identified as markers of local cortical activity. Fluctuations a...
Gespeichert in:
| Veröffentlicht in: | The Journal of neuroscience 2011-08, Vol.31 (32), p.11728-11732 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 11732 |
|---|---|
| container_issue | 32 |
| container_start_page | 11728 |
| container_title | The Journal of neuroscience |
| container_volume | 31 |
| creator | Ko, Andrew L Darvas, Felix Poliakov, Andrew Ojemann, Jeffrey Sorensen, Larry B |
| description | The study of human brain electrophysiology has extended beyond traditional frequency ranges identified by the classical EEG rhythms, encompassing both higher and lower frequencies. Changes in high-gamma-band (>70 Hz) power have been identified as markers of local cortical activity. Fluctuations at infra-slow ( |
| doi_str_mv | 10.1523/JNEUROSCI.5730-10.2011 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6623135</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>883313971</sourcerecordid><originalsourceid>FETCH-LOGICAL-c413t-f6a15f449c86ea5076e5ad9ee29584085d1b6ae01a6343a77ded8555bd74423b3</originalsourceid><addsrcrecordid>eNpVUclOwzAQtRAIyvILKDdOKd6dXJBQVTYhKpaeLSeegCGNi52A-vckaqngNNLbZjQPoVOCx0RQdn73MJ0_zZ4nt2OhGE57mGJCdtCoZ_OUckx20QhThVPJFT9AhzG-Y4wVJmofHVCSMUoxHaHpY2eiS5cQnLeuTKq6K9vOtM43MXFNYqEyXd0mC28haaD99uEjgRrKNvjl2yo6X_vX1THaq0wd4WQzj9D8avoyuUnvZ9e3k8v7tOSEtWklDREV53mZSTACKwnC2ByA5iLjOBOWFNIAJkYyzoxSFmwmhCis4pyygh2hi3XusisWYEto2mBqvQxuYcJKe-P0f6Zxb_rVf2kpKSNM9AFnm4DgPzuIrV64WEJdmwZ8F3WWsV6XK9Ir5VpZBh9jgGq7hWA9VKC3FeihggEeKuiNp39v3Np-f85-AIkthUg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>883313971</pqid></control><display><type>article</type><title>Quasi-periodic fluctuations in default mode network electrophysiology</title><source>MEDLINE</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Ko, Andrew L ; Darvas, Felix ; Poliakov, Andrew ; Ojemann, Jeffrey ; Sorensen, Larry B</creator><creatorcontrib>Ko, Andrew L ; Darvas, Felix ; Poliakov, Andrew ; Ojemann, Jeffrey ; Sorensen, Larry B</creatorcontrib><description>The study of human brain electrophysiology has extended beyond traditional frequency ranges identified by the classical EEG rhythms, encompassing both higher and lower frequencies. Changes in high-gamma-band (>70 Hz) power have been identified as markers of local cortical activity. Fluctuations at infra-slow (<0.1 Hz) frequencies have been associated with functionally significant cortical networks elucidated using fMRI studies. In this study, we examined infra-slow changes in band-limited power across a range of frequencies (1-120 Hz) in the default mode network (DMN). Measuring the coherence in band-limited power fluctuations between spatially separated electrodes makes it possible to detect small, spatially extended, and temporally coherent fluctuating components in the presence of much larger incoherent fluctuations. We show that the default network is characterized by significant high-gamma-band (65-110 Hz) coherence at infra-slow (<0.1 Hz) frequencies. This coherence occurs over a narrow frequency range, centered at 0.015 Hz, commensurate with the frequency of BOLD signal fluctuations seen by fMRI, suggesting that quasi-periodic, infra-slow changes in local cortical activity form the neurophysiological basis for this network.</description><identifier>ISSN: 0270-6474</identifier><identifier>EISSN: 1529-2401</identifier><identifier>DOI: 10.1523/JNEUROSCI.5730-10.2011</identifier><identifier>PMID: 21832202</identifier><language>eng</language><publisher>United States: Society for Neuroscience</publisher><subject>Adolescent ; Adult ; Brain Mapping - methods ; Brief Communications ; Child ; Electroencephalography - methods ; Female ; Gyrus Cinguli - physiology ; Humans ; Magnetic Resonance Imaging - methods ; Male ; Nerve Net - physiology ; Periodicity ; Prefrontal Cortex - physiology ; Young Adult</subject><ispartof>The Journal of neuroscience, 2011-08, Vol.31 (32), p.11728-11732</ispartof><rights>Copyright © 2011 the authors 0270-6474/11/3111728-05$15.00/0 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c413t-f6a15f449c86ea5076e5ad9ee29584085d1b6ae01a6343a77ded8555bd74423b3</citedby><cites>FETCH-LOGICAL-c413t-f6a15f449c86ea5076e5ad9ee29584085d1b6ae01a6343a77ded8555bd74423b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6623135/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6623135/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53770,53772</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21832202$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ko, Andrew L</creatorcontrib><creatorcontrib>Darvas, Felix</creatorcontrib><creatorcontrib>Poliakov, Andrew</creatorcontrib><creatorcontrib>Ojemann, Jeffrey</creatorcontrib><creatorcontrib>Sorensen, Larry B</creatorcontrib><title>Quasi-periodic fluctuations in default mode network electrophysiology</title><title>The Journal of neuroscience</title><addtitle>J Neurosci</addtitle><description>The study of human brain electrophysiology has extended beyond traditional frequency ranges identified by the classical EEG rhythms, encompassing both higher and lower frequencies. Changes in high-gamma-band (>70 Hz) power have been identified as markers of local cortical activity. Fluctuations at infra-slow (<0.1 Hz) frequencies have been associated with functionally significant cortical networks elucidated using fMRI studies. In this study, we examined infra-slow changes in band-limited power across a range of frequencies (1-120 Hz) in the default mode network (DMN). Measuring the coherence in band-limited power fluctuations between spatially separated electrodes makes it possible to detect small, spatially extended, and temporally coherent fluctuating components in the presence of much larger incoherent fluctuations. We show that the default network is characterized by significant high-gamma-band (65-110 Hz) coherence at infra-slow (<0.1 Hz) frequencies. This coherence occurs over a narrow frequency range, centered at 0.015 Hz, commensurate with the frequency of BOLD signal fluctuations seen by fMRI, suggesting that quasi-periodic, infra-slow changes in local cortical activity form the neurophysiological basis for this network.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Brain Mapping - methods</subject><subject>Brief Communications</subject><subject>Child</subject><subject>Electroencephalography - methods</subject><subject>Female</subject><subject>Gyrus Cinguli - physiology</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Nerve Net - physiology</subject><subject>Periodicity</subject><subject>Prefrontal Cortex - physiology</subject><subject>Young Adult</subject><issn>0270-6474</issn><issn>1529-2401</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVUclOwzAQtRAIyvILKDdOKd6dXJBQVTYhKpaeLSeegCGNi52A-vckaqngNNLbZjQPoVOCx0RQdn73MJ0_zZ4nt2OhGE57mGJCdtCoZ_OUckx20QhThVPJFT9AhzG-Y4wVJmofHVCSMUoxHaHpY2eiS5cQnLeuTKq6K9vOtM43MXFNYqEyXd0mC28haaD99uEjgRrKNvjl2yo6X_vX1THaq0wd4WQzj9D8avoyuUnvZ9e3k8v7tOSEtWklDREV53mZSTACKwnC2ByA5iLjOBOWFNIAJkYyzoxSFmwmhCis4pyygh2hi3XusisWYEto2mBqvQxuYcJKe-P0f6Zxb_rVf2kpKSNM9AFnm4DgPzuIrV64WEJdmwZ8F3WWsV6XK9Ir5VpZBh9jgGq7hWA9VKC3FeihggEeKuiNp39v3Np-f85-AIkthUg</recordid><startdate>20110810</startdate><enddate>20110810</enddate><creator>Ko, Andrew L</creator><creator>Darvas, Felix</creator><creator>Poliakov, Andrew</creator><creator>Ojemann, Jeffrey</creator><creator>Sorensen, Larry B</creator><general>Society for Neuroscience</general><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><scope>5PM</scope></search><sort><creationdate>20110810</creationdate><title>Quasi-periodic fluctuations in default mode network electrophysiology</title><author>Ko, Andrew L ; Darvas, Felix ; Poliakov, Andrew ; Ojemann, Jeffrey ; Sorensen, Larry B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c413t-f6a15f449c86ea5076e5ad9ee29584085d1b6ae01a6343a77ded8555bd74423b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Brain Mapping - methods</topic><topic>Brief Communications</topic><topic>Child</topic><topic>Electroencephalography - methods</topic><topic>Female</topic><topic>Gyrus Cinguli - physiology</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Nerve Net - physiology</topic><topic>Periodicity</topic><topic>Prefrontal Cortex - physiology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ko, Andrew L</creatorcontrib><creatorcontrib>Darvas, Felix</creatorcontrib><creatorcontrib>Poliakov, Andrew</creatorcontrib><creatorcontrib>Ojemann, Jeffrey</creatorcontrib><creatorcontrib>Sorensen, Larry B</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>The Journal of neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ko, Andrew L</au><au>Darvas, Felix</au><au>Poliakov, Andrew</au><au>Ojemann, Jeffrey</au><au>Sorensen, Larry B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quasi-periodic fluctuations in default mode network electrophysiology</atitle><jtitle>The Journal of neuroscience</jtitle><addtitle>J Neurosci</addtitle><date>2011-08-10</date><risdate>2011</risdate><volume>31</volume><issue>32</issue><spage>11728</spage><epage>11732</epage><pages>11728-11732</pages><issn>0270-6474</issn><eissn>1529-2401</eissn><abstract>The study of human brain electrophysiology has extended beyond traditional frequency ranges identified by the classical EEG rhythms, encompassing both higher and lower frequencies. Changes in high-gamma-band (>70 Hz) power have been identified as markers of local cortical activity. Fluctuations at infra-slow (<0.1 Hz) frequencies have been associated with functionally significant cortical networks elucidated using fMRI studies. In this study, we examined infra-slow changes in band-limited power across a range of frequencies (1-120 Hz) in the default mode network (DMN). Measuring the coherence in band-limited power fluctuations between spatially separated electrodes makes it possible to detect small, spatially extended, and temporally coherent fluctuating components in the presence of much larger incoherent fluctuations. We show that the default network is characterized by significant high-gamma-band (65-110 Hz) coherence at infra-slow (<0.1 Hz) frequencies. This coherence occurs over a narrow frequency range, centered at 0.015 Hz, commensurate with the frequency of BOLD signal fluctuations seen by fMRI, suggesting that quasi-periodic, infra-slow changes in local cortical activity form the neurophysiological basis for this network.</abstract><cop>United States</cop><pub>Society for Neuroscience</pub><pmid>21832202</pmid><doi>10.1523/JNEUROSCI.5730-10.2011</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0270-6474 |
| ispartof | The Journal of neuroscience, 2011-08, Vol.31 (32), p.11728-11732 |
| issn | 0270-6474 1529-2401 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6623135 |
| source | MEDLINE; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Adolescent Adult Brain Mapping - methods Brief Communications Child Electroencephalography - methods Female Gyrus Cinguli - physiology Humans Magnetic Resonance Imaging - methods Male Nerve Net - physiology Periodicity Prefrontal Cortex - physiology Young Adult |
| title | Quasi-periodic fluctuations in default mode network electrophysiology |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T12%3A58%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Quasi-periodic%20fluctuations%20in%20default%20mode%20network%20electrophysiology&rft.jtitle=The%20Journal%20of%20neuroscience&rft.au=Ko,%20Andrew%20L&rft.date=2011-08-10&rft.volume=31&rft.issue=32&rft.spage=11728&rft.epage=11732&rft.pages=11728-11732&rft.issn=0270-6474&rft.eissn=1529-2401&rft_id=info:doi/10.1523/JNEUROSCI.5730-10.2011&rft_dat=%3Cproquest_pubme%3E883313971%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=883313971&rft_id=info:pmid/21832202&rfr_iscdi=true |