Mar 31, 2015

Improving effect size and power with multi-echo fMRI and its impact on understanding the neural systems supporting mentalizing

BioRxiv : the Preprint Server for Biology
Michael V. LombardoPrantik Kundu

Abstract

Functional magnetic resonance imaging (fMRI) research is routinely criticized for being underpowered due to characteristically small sample sizes. Additionally, fMRI signals inherently possess various sources of non-BOLD noise that further hampers ability to detect subtle effects. Here we demonstrate that multi-echo fMRI data acquisition and denoising can increase effect size and statistical power for block-design experiments, allowing for novel insights by detecting effects that are typically obscured in small sample size/underpowered studies. Application of this method on two different tasks within the social cognitive domain of mentalizing/theory of mind demonstrates that effect sizes are enhanced at a median rate of 25-32% in regions canonically associated with mentalizing. For non-canonical cerebellar areas that have been largely less focused on by the field, effect sizes boosts were much more substantial in the range of 43-108%. These cerebellar areas are highly functionally connected at rest with neural systems typically associated with mentalizing and the resting state connectivity maps largely recapitulate the topology observed in activation maps for mentalizing. Power simulations show that boosts in effect size enable...Continue Reading

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Mentioned in this Paper

Study
Size
Research
Magnetic Resonance Imaging
Biophysics
FMRI
Cortical Cell Layer of the Cerebellum
Simulation
Research Design
Cerebellum

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