期刊
NEUROIMAGE
卷 70, 期 -, 页码 80-88出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2012.12.019
关键词
Functional magnetic resonance imaging; Resting-state; fALFF; Scaling
资金
- MAN-BIOPSY research cluster of the Medical University of Vienna
- University of Vienna, Austria [SO76300004]
- Austrian Science Fund [P22813, P23021]
- Oesterreichische Nationalbank (Anniversary fund) [12982, 13890, 14350]
- NIH [R01 AG032088]
- Austrian Science Fund (FWF) [P 22813] Funding Source: researchfish
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 x 3 x 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. (c) 2012 Elsevier Inc. All rights reserved.
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