Early development of spatial patterns of power-law frequency scaling in FMRI resting-state and EEG data in the newborn brain

Cereb Cortex. 2013 Mar;23(3):638-46. doi: 10.1093/cercor/bhs047. Epub 2012 Mar 7.


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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Brain / physiology*
  • Brain Mapping / methods*
  • Electroencephalography
  • Female
  • Humans
  • Image Interpretation, Computer-Assisted
  • Infant, Newborn
  • Magnetic Resonance Imaging
  • Male
  • Models, Theoretical
  • Neural Pathways / physiology*
  • Rest / physiology
  • Signal Processing, Computer-Assisted
  • Young Adult