title: Early development of spatial patterns of power-law frequency scaling in FMRI resting-state and EEG data in the newborn brain.
abstract: Recent studies have revealed spatial and functional relations in the temporal dynamics of resting-state functional magnetic resonance imaging (rs-fMRI) or electroencephalography (EEG) signals recorded in the adult brain. By modeling the frequency power spectrum of resting-state brain signals with a power-law function 0(f)α1/fα, the power-law exponent α has been shown to relate to the connectivity patterns of spontaneous brain activity that forms so-called rs-fMRI networks in the human adult brain. Here, we present an analysis of the dynamic properties of rs-fMRI and EEG signals acquired both in the newborn and adult brain, and we demonstrate frequency scaling of a power-law kind for orders of magnitude in the hemodynamic (0.01-0.15 Hz) and the electrical (0.2-30 Hz) domain. We show that the spatial segregation of resting-state dynamics of intrinsic fMRI signals in terms of the power-law exponent α is closely related to previously delineated resting-state neuronal architecture that encompasses primary sensory cortices and associate cortex in newborns. Moreover, the spatial profiles of differences in temporal dynamics for rs-fMRI signals could also be observed in EEG measurements in the newborn brain, albeit at a coarser spatial scale, with larger power-law exponents in occipital and parietal cortices compared with signals from the frontal brain.
authors.affiliation: Department of Clinical Neuroscience, Karolinska Institute, SE-171 76 Stockholm, Sweden.
authors.forename: Peter
authors.initials: P
authors.lastname: Fransson
authors.forename: Marjo
authors.initials: M
authors.lastname: Metsäranta
authors.forename: Mats
authors.initials: M
authors.lastname: Blennow
authors.forename: Ulrika
authors.initials: U
authors.lastname: Åden
authors.forename: Hugo
authors.initials: H
authors.lastname: Lagercrantz
authors.forename: Sampsa
authors.initials: S
authors.lastname: Vanhatalo
mesh_terms: D000328:Adult; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D004569:Electroencephalography; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007231:Infant, Newborn; D008279:Magnetic Resonance Imaging; D008297:Male; D008962:Models, Theoretical; D009434:Neural Pathways / Q000502:physiology*; D012146:Rest / Q000502:physiology; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult