EEG–BOLD correlations during (post-)adolescent brain maturation
The transition from adolescence to adulthood is a critical stage in the human lifespan during which the brain still undergoes substantial structural and functional change. The changing frequency composition of the resting state EEG reflects maturation of brain function. This study investigated (post...
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Veröffentlicht in: | NeuroImage (Orlando, Fla.) Fla.), 2011-06, Vol.56 (3), p.1493-1505 |
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description | The transition from adolescence to adulthood is a critical stage in the human lifespan during which the brain still undergoes substantial structural and functional change. The changing frequency composition of the resting state EEG reflects maturation of brain function. This study investigated (post)adolescent brain maturation captured by two independently but simultaneously recorded neuronal signals: EEG and fMRI. Data were collected in a 20min eyes-open/eyes-closed resting state paradigm. EEG, fMRI-BOLD signal and EEG–BOLD correlations were compared between groups of adults, age 25 (n=18), and adolescents, age 15 (n=18). A typical developmental decrease of low-frequency EEG power was observed even at this late stage of brain maturation. Frequency and condition specific EEG–fMRI correlations proved robust for multiple brain regions. However, no consistent change in the EEG–BOLD correlations was identified that would correspond to the neuronal maturation captured by the EEG. This result indicates that the EEG–BOLD correlation measures a distinct aspect of neurophysiological activity that presumably matures earlier, since it is less sensitive to late maturation than the neuronal activity captured by low-frequency EEG.
► Low-frequency EEG power decreases between adolescence and adulthood. ► Spontaneous EEG power fluctuations are reliably coupled with distinct brain regions. ► EEG–BOLD coupling patterns are frequency and condition specific. ► No change in the EEG–BOLD coupling was identified corresponding to the neuronal maturation captured by the EEG. ► EEG–BOLD coupling measures a distinct aspect of neurophysiological activity that presumably matures earlier than the neuronal activity captured by low-frequency EEG. |
doi_str_mv | 10.1016/j.neuroimage.2011.02.050 |
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► Low-frequency EEG power decreases between adolescence and adulthood. ► Spontaneous EEG power fluctuations are reliably coupled with distinct brain regions. ► EEG–BOLD coupling patterns are frequency and condition specific. ► No change in the EEG–BOLD coupling was identified corresponding to the neuronal maturation captured by the EEG. ► EEG–BOLD coupling measures a distinct aspect of neurophysiological activity that presumably matures earlier than the neuronal activity captured by low-frequency EEG.</description><identifier>ISSN: 1053-8119</identifier><identifier>EISSN: 1095-9572</identifier><identifier>DOI: 10.1016/j.neuroimage.2011.02.050</identifier><identifier>PMID: 21349336</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescence ; Adolescent ; Adult ; Adults ; Age ; Aging - physiology ; Alpha Rhythm - physiology ; Brain - growth & development ; Child development ; Data Interpretation, Statistical ; Delta Rhythm - physiology ; EEG–BOLD coupling ; Electroencephalography ; Eyes-open/eyes-closed ; Female ; Global spectral power ; Humans ; Late brain maturation ; Magnetic Resonance Imaging ; Male ; Models, Neurological ; Nerve Net - growth & development ; Nerve Net - physiology ; Oxygen - blood ; Photic Stimulation ; Physiology ; Regression Analysis ; Rest - physiology ; Resting state ; Simultaneous EEG/fRMI ; Studies ; Teenagers ; Theta Rhythm - physiology ; Young Adult</subject><ispartof>NeuroImage (Orlando, Fla.), 2011-06, Vol.56 (3), p.1493-1505</ispartof><rights>2011 Elsevier Inc.</rights><rights>Copyright © 2011 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Jun 1, 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c484t-97141bbb18b7cf2ced522c9c3e756a0df5a4bb8f6ef902039fbc9e1b21c30f243</citedby><cites>FETCH-LOGICAL-c484t-97141bbb18b7cf2ced522c9c3e756a0df5a4bb8f6ef902039fbc9e1b21c30f243</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1668049971?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974,64362,64364,64366,72216</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21349336$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lüchinger, Rafael</creatorcontrib><creatorcontrib>Michels, Lars</creatorcontrib><creatorcontrib>Martin, Ernst</creatorcontrib><creatorcontrib>Brandeis, Daniel</creatorcontrib><title>EEG–BOLD correlations during (post-)adolescent brain maturation</title><title>NeuroImage (Orlando, Fla.)</title><addtitle>Neuroimage</addtitle><description>The transition from adolescence to adulthood is a critical stage in the human lifespan during which the brain still undergoes substantial structural and functional change. The changing frequency composition of the resting state EEG reflects maturation of brain function. This study investigated (post)adolescent brain maturation captured by two independently but simultaneously recorded neuronal signals: EEG and fMRI. Data were collected in a 20min eyes-open/eyes-closed resting state paradigm. EEG, fMRI-BOLD signal and EEG–BOLD correlations were compared between groups of adults, age 25 (n=18), and adolescents, age 15 (n=18). A typical developmental decrease of low-frequency EEG power was observed even at this late stage of brain maturation. Frequency and condition specific EEG–fMRI correlations proved robust for multiple brain regions. However, no consistent change in the EEG–BOLD correlations was identified that would correspond to the neuronal maturation captured by the EEG. This result indicates that the EEG–BOLD correlation measures a distinct aspect of neurophysiological activity that presumably matures earlier, since it is less sensitive to late maturation than the neuronal activity captured by low-frequency EEG.
► Low-frequency EEG power decreases between adolescence and adulthood. ► Spontaneous EEG power fluctuations are reliably coupled with distinct brain regions. ► EEG–BOLD coupling patterns are frequency and condition specific. ► No change in the EEG–BOLD coupling was identified corresponding to the neuronal maturation captured by the EEG. ► EEG–BOLD coupling measures a distinct aspect of neurophysiological activity that presumably matures earlier than the neuronal activity captured by low-frequency EEG.</description><subject>Adolescence</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Adults</subject><subject>Age</subject><subject>Aging - physiology</subject><subject>Alpha Rhythm - physiology</subject><subject>Brain - growth & development</subject><subject>Child development</subject><subject>Data Interpretation, Statistical</subject><subject>Delta Rhythm - physiology</subject><subject>EEG–BOLD coupling</subject><subject>Electroencephalography</subject><subject>Eyes-open/eyes-closed</subject><subject>Female</subject><subject>Global spectral power</subject><subject>Humans</subject><subject>Late brain maturation</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Models, Neurological</subject><subject>Nerve Net - growth & development</subject><subject>Nerve Net - physiology</subject><subject>Oxygen - blood</subject><subject>Photic Stimulation</subject><subject>Physiology</subject><subject>Regression Analysis</subject><subject>Rest - physiology</subject><subject>Resting state</subject><subject>Simultaneous EEG/fRMI</subject><subject>Studies</subject><subject>Teenagers</subject><subject>Theta Rhythm - physiology</subject><subject>Young Adult</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkc1u3CAURlGVqEmnfYXKUhdJFna4gG1Y5meaVhopm3SNAF9HjDxmCnal7vIOecM-SZlO2kpZJCtYnI97-Q4hBdAKKDTn62rEOQa_MfdYMQpQUVbRmr4hx0BVXaq6ZQe7e81LCaCOyLuU1pRSBUK-JUcMuFCcN8fkYrm8-fXweHm7ui5ciBEHM_kwpqKbox_vi9NtSFN5ZrowYHI4ToWNxo_Fxkxz_IO-J4e9GRJ-eDoX5Nvn5d3Vl3J1e_P16mJVOiHFVKoWBFhrQdrW9cxhVzPmlOPY1o2hXV8bYa3sG-wVZZSr3jqFYBk4Tnsm-IKc7N_dxvB9xjTpjc8bDYMZMcxJy0a0rWQ5uiCnL5LQciZ5U-cWFuTTM3Qd5jjmf2hoGkmFyntnSu4pF0NKEXu9jbn7-FMD1Tsheq3_C9E7IZoynYXk6MenAbPdYPcv-NdABi73AObufniMOjmPY-7HR3ST7oJ_fcpv6Gig9w</recordid><startdate>20110601</startdate><enddate>20110601</enddate><creator>Lüchinger, Rafael</creator><creator>Michels, Lars</creator><creator>Martin, Ernst</creator><creator>Brandeis, Daniel</creator><general>Elsevier Inc</general><general>Elsevier Limited</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>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>RC3</scope><scope>7QO</scope><scope>7X8</scope></search><sort><creationdate>20110601</creationdate><title>EEG–BOLD correlations during (post-)adolescent brain maturation</title><author>Lüchinger, Rafael ; Michels, Lars ; Martin, Ernst ; Brandeis, Daniel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c484t-97141bbb18b7cf2ced522c9c3e756a0df5a4bb8f6ef902039fbc9e1b21c30f243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adolescence</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Adults</topic><topic>Age</topic><topic>Aging - physiology</topic><topic>Alpha Rhythm - physiology</topic><topic>Brain - growth & development</topic><topic>Child development</topic><topic>Data Interpretation, Statistical</topic><topic>Delta Rhythm - physiology</topic><topic>EEG–BOLD coupling</topic><topic>Electroencephalography</topic><topic>Eyes-open/eyes-closed</topic><topic>Female</topic><topic>Global spectral power</topic><topic>Humans</topic><topic>Late brain maturation</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Models, Neurological</topic><topic>Nerve Net - growth & development</topic><topic>Nerve Net - physiology</topic><topic>Oxygen - blood</topic><topic>Photic Stimulation</topic><topic>Physiology</topic><topic>Regression Analysis</topic><topic>Rest - physiology</topic><topic>Resting state</topic><topic>Simultaneous EEG/fRMI</topic><topic>Studies</topic><topic>Teenagers</topic><topic>Theta Rhythm - physiology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lüchinger, Rafael</creatorcontrib><creatorcontrib>Michels, Lars</creatorcontrib><creatorcontrib>Martin, Ernst</creatorcontrib><creatorcontrib>Brandeis, Daniel</creatorcontrib><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>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science 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 Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</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>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>NeuroImage (Orlando, Fla.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lüchinger, Rafael</au><au>Michels, Lars</au><au>Martin, Ernst</au><au>Brandeis, Daniel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>EEG–BOLD correlations during (post-)adolescent brain maturation</atitle><jtitle>NeuroImage (Orlando, Fla.)</jtitle><addtitle>Neuroimage</addtitle><date>2011-06-01</date><risdate>2011</risdate><volume>56</volume><issue>3</issue><spage>1493</spage><epage>1505</epage><pages>1493-1505</pages><issn>1053-8119</issn><eissn>1095-9572</eissn><abstract>The transition from adolescence to adulthood is a critical stage in the human lifespan during which the brain still undergoes substantial structural and functional change. The changing frequency composition of the resting state EEG reflects maturation of brain function. This study investigated (post)adolescent brain maturation captured by two independently but simultaneously recorded neuronal signals: EEG and fMRI. Data were collected in a 20min eyes-open/eyes-closed resting state paradigm. EEG, fMRI-BOLD signal and EEG–BOLD correlations were compared between groups of adults, age 25 (n=18), and adolescents, age 15 (n=18). A typical developmental decrease of low-frequency EEG power was observed even at this late stage of brain maturation. Frequency and condition specific EEG–fMRI correlations proved robust for multiple brain regions. However, no consistent change in the EEG–BOLD correlations was identified that would correspond to the neuronal maturation captured by the EEG. This result indicates that the EEG–BOLD correlation measures a distinct aspect of neurophysiological activity that presumably matures earlier, since it is less sensitive to late maturation than the neuronal activity captured by low-frequency EEG.
► Low-frequency EEG power decreases between adolescence and adulthood. ► Spontaneous EEG power fluctuations are reliably coupled with distinct brain regions. ► EEG–BOLD coupling patterns are frequency and condition specific. ► No change in the EEG–BOLD coupling was identified corresponding to the neuronal maturation captured by the EEG. ► EEG–BOLD coupling measures a distinct aspect of neurophysiological activity that presumably matures earlier than the neuronal activity captured by low-frequency EEG.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>21349336</pmid><doi>10.1016/j.neuroimage.2011.02.050</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescence Adolescent Adult Adults Age Aging - physiology Alpha Rhythm - physiology Brain - growth & development Child development Data Interpretation, Statistical Delta Rhythm - physiology EEG–BOLD coupling Electroencephalography Eyes-open/eyes-closed Female Global spectral power Humans Late brain maturation Magnetic Resonance Imaging Male Models, Neurological Nerve Net - growth & development Nerve Net - physiology Oxygen - blood Photic Stimulation Physiology Regression Analysis Rest - physiology Resting state Simultaneous EEG/fRMI Studies Teenagers Theta Rhythm - physiology Young Adult |
title | EEG–BOLD correlations during (post-)adolescent brain maturation |
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