RESCALE: Voxel-specific task-fMRI scaling using resting state fluctuation amplitude

Klaudius Kalcher, Roland N. Boubela, Wolfgang Huf, Bharat B. Biswal, Pia Baldinger, Uta Sailer, Peter Filzmoser, Siegfried Kasper, Claus Lamm, Rupert Lanzenberger, Ewald Moser, Christian Windischberger

Research output: Contribution to journalArticlepeer-review

30 Scopus citations


The BOLD signal measured in fMRI studies depends not only on neuronal activity, but also on other parameters like tissue vascularization, which may vary between subjects and between brain regions. A correction for variance from vascularization effects can thus lead to improved group statistics by reducing inter-subject variability. The fractional amplitude of low-frequency fluctuations (fALFF) as determined in a resting-state scan has been shown to be dependent on vascularization. Here we present a correction method termed RESCALE (REsting-state based SCALing of parameter Estimates) that uses local information to compute a voxel-wise scaling factor based on the correlation structure of fALFF and task activation parameter estimates from within a cube of 3 × 3 × 3 surrounding that voxel. The scaling method was used on a visuo-motor paradigm and resulted in a consistent increase in t-values in all task-activated cortical regions, with increases in peak t-values of 37.0% in the visual cortex and 12.7% in the left motor cortex. The RESCALE method as proposed herein can be easily applied to all task-based fMRI group studies provided that resting-state data for the same subject group is also acquired.

Original languageEnglish (US)
Pages (from-to)80-88
Number of pages9
StatePublished - Apr 5 2013
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Neurology
  • Cognitive Neuroscience


  • Functional magnetic resonance imaging
  • Resting-state
  • Scaling


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