EEG functional connectivity is partially predicted by underlying white matter connectivity
Over the past decade, networks have become a leading model to illustrate both the anatomical relationships (structural networks) and the coupling of dynamic physiology (functional networks) linking separate brain regions. The relationship between these two levels of description remains incompletely...
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creator | Chu, C.J. Tanaka, N. Diaz, J. Edlow, B.L. Wu, O. Hämäläinen, M. Stufflebeam, S. Cash, S.S. Kramer, M.A. |
description | Over the past decade, networks have become a leading model to illustrate both the anatomical relationships (structural networks) and the coupling of dynamic physiology (functional networks) linking separate brain regions. The relationship between these two levels of description remains incompletely understood and an area of intense research interest. In particular, it is unclear how cortical currents relate to underlying brain structural architecture. In addition, although theory suggests that brain communication is highly frequency dependent, how structural connections influence overlying functional connectivity in different frequency bands has not been previously explored. Here we relate functional networks inferred from statistical associations between source imaging of EEG activity and underlying cortico-cortical structural brain connectivity determined by probabilistic white matter tractography. We evaluate spontaneous fluctuating cortical brain activity over a long time scale (minutes) and relate inferred functional networks to underlying structural connectivity for broadband signals, as well as in seven distinct frequency bands. We find that cortical networks derived from source EEG estimates partially reflect both direct and indirect underlying white matter connectivity in all frequency bands evaluated. In addition, we find that when structural support is absent, functional connectivity is significantly reduced for high frequency bands compared to low frequency bands. The association between cortical currents and underlying white matter connectivity highlights the obligatory interdependence of functional and structural networks in the human brain. The increased dependence on structural support for the coupling of higher frequency brain rhythms provides new evidence for how underlying anatomy directly shapes emergent brain dynamics at fast time scales.
•Both structural and functional edges are more common between physically neighboring nodes.•Direct and indirect white matter connectivity predicts functional connectivity beyond inter-node distance alone.•Functional connectivity strength is higher in structurally connected node pairs in all frequency bands evaluated.•Lack of structural connectivity disproportionately reduces functional connectivity in high frequency bands. |
doi_str_mv | 10.1016/j.neuroimage.2014.12.033 |
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•Both structural and functional edges are more common between physically neighboring nodes.•Direct and indirect white matter connectivity predicts functional connectivity beyond inter-node distance alone.•Functional connectivity strength is higher in structurally connected node pairs in all frequency bands evaluated.•Lack of structural connectivity disproportionately reduces functional connectivity in high frequency bands.</description><identifier>ISSN: 1053-8119</identifier><identifier>EISSN: 1095-9572</identifier><identifier>DOI: 10.1016/j.neuroimage.2014.12.033</identifier><identifier>PMID: 25534110</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Anatomy & physiology ; Brain - anatomy & histology ; Brain - physiology ; Child ; Confidence intervals ; Diffusion Tensor Imaging ; Disease ; DTI ; Electrical source imaging ; Electrodes ; Electroencephalography ; Female ; Generalized linear models ; High density EEG ; Humans ; Image Processing, Computer-Assisted ; Models, Neurological ; Neural Pathways - anatomy & histology ; Neural Pathways - physiology ; Patients ; Physiology ; Probabilistic tractography ; Signal processing ; Structural networks ; White Matter - anatomy & histology ; White Matter - physiology ; Young Adult</subject><ispartof>NeuroImage (Orlando, Fla.), 2015-03, Vol.108, p.23-33</ispartof><rights>2014 Elsevier Inc.</rights><rights>Copyright © 2014 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Mar 1, 2015</rights><rights>2014 Elsevier Inc. All rights reserved. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-5fe6420e871a2e2db17adfd67d7cd4626ac301c71ff6eda688ae691c5879eedb3</citedby><cites>FETCH-LOGICAL-c540t-5fe6420e871a2e2db17adfd67d7cd4626ac301c71ff6eda688ae691c5879eedb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1053811914010258$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25534110$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chu, C.J.</creatorcontrib><creatorcontrib>Tanaka, N.</creatorcontrib><creatorcontrib>Diaz, J.</creatorcontrib><creatorcontrib>Edlow, B.L.</creatorcontrib><creatorcontrib>Wu, O.</creatorcontrib><creatorcontrib>Hämäläinen, M.</creatorcontrib><creatorcontrib>Stufflebeam, S.</creatorcontrib><creatorcontrib>Cash, S.S.</creatorcontrib><creatorcontrib>Kramer, M.A.</creatorcontrib><title>EEG functional connectivity is partially predicted by underlying white matter connectivity</title><title>NeuroImage (Orlando, Fla.)</title><addtitle>Neuroimage</addtitle><description>Over the past decade, networks have become a leading model to illustrate both the anatomical relationships (structural networks) and the coupling of dynamic physiology (functional networks) linking separate brain regions. The relationship between these two levels of description remains incompletely understood and an area of intense research interest. In particular, it is unclear how cortical currents relate to underlying brain structural architecture. In addition, although theory suggests that brain communication is highly frequency dependent, how structural connections influence overlying functional connectivity in different frequency bands has not been previously explored. Here we relate functional networks inferred from statistical associations between source imaging of EEG activity and underlying cortico-cortical structural brain connectivity determined by probabilistic white matter tractography. We evaluate spontaneous fluctuating cortical brain activity over a long time scale (minutes) and relate inferred functional networks to underlying structural connectivity for broadband signals, as well as in seven distinct frequency bands. We find that cortical networks derived from source EEG estimates partially reflect both direct and indirect underlying white matter connectivity in all frequency bands evaluated. In addition, we find that when structural support is absent, functional connectivity is significantly reduced for high frequency bands compared to low frequency bands. The association between cortical currents and underlying white matter connectivity highlights the obligatory interdependence of functional and structural networks in the human brain. The increased dependence on structural support for the coupling of higher frequency brain rhythms provides new evidence for how underlying anatomy directly shapes emergent brain dynamics at fast time scales.
•Both structural and functional edges are more common between physically neighboring nodes.•Direct and indirect white matter connectivity predicts functional connectivity beyond inter-node distance alone.•Functional connectivity strength is higher in structurally connected node pairs in all frequency bands evaluated.•Lack of structural connectivity disproportionately reduces functional connectivity in high frequency bands.</description><subject>Adolescent</subject><subject>Anatomy & physiology</subject><subject>Brain - anatomy & histology</subject><subject>Brain - physiology</subject><subject>Child</subject><subject>Confidence intervals</subject><subject>Diffusion Tensor Imaging</subject><subject>Disease</subject><subject>DTI</subject><subject>Electrical source imaging</subject><subject>Electrodes</subject><subject>Electroencephalography</subject><subject>Female</subject><subject>Generalized linear models</subject><subject>High density EEG</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Models, Neurological</subject><subject>Neural Pathways - anatomy & histology</subject><subject>Neural Pathways - physiology</subject><subject>Patients</subject><subject>Physiology</subject><subject>Probabilistic tractography</subject><subject>Signal processing</subject><subject>Structural networks</subject><subject>White Matter - anatomy & histology</subject><subject>White Matter - physiology</subject><subject>Young Adult</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkUFvFCEUxydGY2v1KxgSL15m5MEMMBcTbdZq0sSLXrwQFt5s2czCyjDbzLeXdWu1XvQEhN97D_6_qiJAG6Ag3mybgHOKfmc22DAKbQOsoZw_qs6B9l3dd5I9Pu47XiuA_qx6Nk1bSmkPrXpanbGu4y0APa--rVZXZJiDzT4GMxIbQ8ByOPi8ED-RvUnZm3FcyD6h8zajI-uFzMFhGhcfNuT2xmckO5Mzpgflz6sngxknfHG3XlRfP6y-XH6srz9ffbp8d13brqW57gYULaOoJBiGzK1BGjc4IZ20rhVMGMspWAnDINAZoZRB0YPtlOwR3ZpfVG9PfffzeofOYsjJjHqfSjxp0dF4_fAm-Bu9iQfdcsYV70uD13cNUvw-45T1zk8Wx9EEjPOkQQjaltz7_0E7DkxKDgV99Re6jXMqGf-kmFRKqiOlTpRNcZoSDvfvBqqPrvVW_3atj641MF1cl9KXf_77vvCX3AK8PwFY0j94THqyHoMtHlORpF30_57yA7bWwp8</recordid><startdate>20150301</startdate><enddate>20150301</enddate><creator>Chu, C.J.</creator><creator>Tanaka, N.</creator><creator>Diaz, J.</creator><creator>Edlow, B.L.</creator><creator>Wu, O.</creator><creator>Hämäläinen, M.</creator><creator>Stufflebeam, S.</creator><creator>Cash, S.S.</creator><creator>Kramer, M.A.</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>7X8</scope><scope>7QO</scope><scope>5PM</scope></search><sort><creationdate>20150301</creationdate><title>EEG functional connectivity is partially predicted by underlying white matter connectivity</title><author>Chu, C.J. ; Tanaka, N. ; Diaz, J. ; Edlow, B.L. ; Wu, O. ; Hämäläinen, M. ; Stufflebeam, S. ; Cash, S.S. ; Kramer, M.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-5fe6420e871a2e2db17adfd67d7cd4626ac301c71ff6eda688ae691c5879eedb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Anatomy & physiology</topic><topic>Brain - 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Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>NeuroImage (Orlando, Fla.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chu, C.J.</au><au>Tanaka, N.</au><au>Diaz, J.</au><au>Edlow, B.L.</au><au>Wu, O.</au><au>Hämäläinen, M.</au><au>Stufflebeam, S.</au><au>Cash, S.S.</au><au>Kramer, M.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>EEG functional connectivity is partially predicted by underlying white matter connectivity</atitle><jtitle>NeuroImage (Orlando, Fla.)</jtitle><addtitle>Neuroimage</addtitle><date>2015-03-01</date><risdate>2015</risdate><volume>108</volume><spage>23</spage><epage>33</epage><pages>23-33</pages><issn>1053-8119</issn><eissn>1095-9572</eissn><abstract>Over the past decade, networks have become a leading model to illustrate both the anatomical relationships (structural networks) and the coupling of dynamic physiology (functional networks) linking separate brain regions. The relationship between these two levels of description remains incompletely understood and an area of intense research interest. In particular, it is unclear how cortical currents relate to underlying brain structural architecture. In addition, although theory suggests that brain communication is highly frequency dependent, how structural connections influence overlying functional connectivity in different frequency bands has not been previously explored. Here we relate functional networks inferred from statistical associations between source imaging of EEG activity and underlying cortico-cortical structural brain connectivity determined by probabilistic white matter tractography. We evaluate spontaneous fluctuating cortical brain activity over a long time scale (minutes) and relate inferred functional networks to underlying structural connectivity for broadband signals, as well as in seven distinct frequency bands. We find that cortical networks derived from source EEG estimates partially reflect both direct and indirect underlying white matter connectivity in all frequency bands evaluated. In addition, we find that when structural support is absent, functional connectivity is significantly reduced for high frequency bands compared to low frequency bands. The association between cortical currents and underlying white matter connectivity highlights the obligatory interdependence of functional and structural networks in the human brain. The increased dependence on structural support for the coupling of higher frequency brain rhythms provides new evidence for how underlying anatomy directly shapes emergent brain dynamics at fast time scales.
•Both structural and functional edges are more common between physically neighboring nodes.•Direct and indirect white matter connectivity predicts functional connectivity beyond inter-node distance alone.•Functional connectivity strength is higher in structurally connected node pairs in all frequency bands evaluated.•Lack of structural connectivity disproportionately reduces functional connectivity in high frequency bands.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>25534110</pmid><doi>10.1016/j.neuroimage.2014.12.033</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Anatomy & physiology Brain - anatomy & histology Brain - physiology Child Confidence intervals Diffusion Tensor Imaging Disease DTI Electrical source imaging Electrodes Electroencephalography Female Generalized linear models High density EEG Humans Image Processing, Computer-Assisted Models, Neurological Neural Pathways - anatomy & histology Neural Pathways - physiology Patients Physiology Probabilistic tractography Signal processing Structural networks White Matter - anatomy & histology White Matter - physiology Young Adult |
title | EEG functional connectivity is partially predicted by underlying white matter connectivity |
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