EEG functional connectivity is partially predicted by underlying white matter connectivity
Open accessAbstract
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.
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Predictive models have been extensively validated on both rs-fcMRI and EEG data, suggesting that SC strongly shapes and constrains activity across temporal scales.
“Predictive models have been extensively validated on both rs-fcMRI and EEG data (Chu et al., 2015), suggesting that SC strongly shapes and constrains activity across temporal scales.”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Chu et al., 2015
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“Predictive models have been extensively validated on both rsfcMRI and EEG data (Chu et al., 2015), suggesting that SC strongly shapes and constrains activity across temporal scales.”
BackgroundMiskovic, V., Ma, X., Chou, C.-A., Fan, M., Owens, M., Sayama, H., & Gibb, B. E. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.013 · Cited by 175 · see citing works
- Authors
- Chu, C. J., Tanaka, N., Diaz, J., Edlow, B. L., Wu, O., Hämäläinen, M., Stufflebeam, S., Cash, S. S., & Kramer, M. A.
- Affiliations
- Harvard University (US)
- Massachusetts General Hospital (US)
- Boston University (US)
- Corresponding author
- Chu, C.J.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 108
- Pages
- 23-33
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC4323839
- OpenAlex
- W1997680969
- Cited by
- 135
- References
- 95
- Citations by year
- 2026: 14 · 2025: 8 · 2024: 8 · 2023: 11 · 2022: 15 · 2021: 12 · 2020: 11 · 2019: 22 · 2018: 8 · 2017: 12 · 2016: 9 · 2015: 5
- FWCI
- 4.84
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- NIH (5K12NS066225)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- EEG functional connectivity, white matter connectivity, structural connectivity, functional networks, source localization, probabilistic tractography, frequency bands, spontaneous cortical activity, neural oscillations, structural-functional correlation
- MeSH terms
- Adolescent, Brain, Child, Electroencephalography, Female, Humans, Image Processing, Computer-Assisted, Models, Neurological, Neural Pathways, Young Adult, Diffusion Tensor Imaging, White Matter
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