Fractal analysis of spontaneous fluctuations of the BOLD signal in rat brain.

  • Esposito F
  • Pignataro G
  • Di Renzo G
 et al. 
  • 1

    Readers

    Mendeley users who have this article in their library.
  • N/A

    Citations

    Citations of this article.

Abstract

Analysis of task-evoked fMRI data ignores low frequency fluctuations (LFF) of the resting-state the BOLD signal, yet LFF of the spontaneous BOLD signal is crucial for analysis of resting-state connectivity maps. We characterized the LFF of resting-state BOLD signal at 11.7T in α-chloralose and domitor anesthetized rat brain and modeled the spontaneous signal as a scale-free (i.e., fractal) distribution of amplitude power (A(2)) across a frequency range (f) compatible with an A(f)(2)1/f(β) model where β is the scaling exponent (or spectral index). We compared β values from somatosensory forelimb area (S1FL), cingulate cortex (CG), and caudate putamen (CPu). With α-chloralose, S1FL and CG β values dropped from ~0.7 at in vivo to ~0.1 at post mortem (p

Author-supplied keywords

  • bold signal
  • fractality
  • frequency domain analysis
  • non linear dynamics
  • resting state connectivity
  • scale free correlation
  • self similarity

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

  • PMID: 21777682

Authors

  • Fabrizio Esposito

  • Giuseppe Pignataro

  • Gianfranco Di Renzo

  • Alessandra Spinali

  • Antonella Paccone

  • Gioacchino Tedeschi

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free