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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Veröffentlicht in:NeuroImage (Orlando, Fla.) Fla.), 2015-03, Vol.108, p.23-33
Hauptverfasser: Chu, C.J., Tanaka, N., Diaz, J., Edlow, B.L., Wu, O., Hämäläinen, M., Stufflebeam, S., Cash, S.S., Kramer, M.A.
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container_issue
container_start_page 23
container_title NeuroImage (Orlando, Fla.)
container_volume 108
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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source MEDLINE; Elsevier ScienceDirect Journals
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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