title: EEG functional connectivity is partially predicted by underlying white matter connectivity.
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.
authors.affiliation: Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: cjchu@mgh.harvard.edu.
authors.forename: C J
authors.initials: CJ
authors.lastname: Chu
authors.affiliation: Harvard Medical School, Boston, MA, USA; MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
authors.forename: N
authors.initials: N
authors.lastname: Tanaka
authors.affiliation: Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
authors.forename: J
authors.initials: J
authors.lastname: Diaz
authors.affiliation: Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA.
authors.forename: B L
authors.initials: BL
authors.lastname: Edlow
authors.affiliation: Harvard Medical School, Boston, MA, USA; MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
authors.forename: O
authors.initials: O
authors.lastname: Wu
authors.affiliation: Harvard Medical School, Boston, MA, USA; MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
authors.forename: M
authors.initials: M
authors.lastname: Hämäläinen
authors.affiliation: Harvard Medical School, Boston, MA, USA; MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
authors.forename: S
authors.initials: S
authors.lastname: Stufflebeam
authors.affiliation: Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
authors.forename: S S
authors.initials: SS
authors.lastname: Cash
authors.affiliation: Department of Mathematics and Statistics, Boston University, Boston, MA, USA.
authors.forename: M A
authors.initials: MA
authors.lastname: Kramer
mesh_terms: D000293:Adolescent; D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology*; D002648:Child; D056324:Diffusion Tensor Imaging; D004569:Electroencephalography; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008959:Models, Neurological; D009434:Neural Pathways / Q000033:anatomy & histology* / Q000502:physiology*; D066127:White Matter / Q000033:anatomy & histology* / Q000502:physiology*; D055815:Young Adult
keywords: DTI; Electrical source imaging; High density EEG; Probabilistic tractography; Structural networks