Corpus ID: 231846492

A Practical Model-based Segmentation Approach for Accurate Activation Detection in Single-Subject functional Magnetic Resonance Imaging Studies

@inproceedings{Chen2021APM,
  title={A Practical Model-based Segmentation Approach for Accurate Activation Detection in Single-Subject functional Magnetic Resonance Imaging Studies},
  author={Wei-Chen Chen and Ranjan Maitra},
  year={2021}
}
Functional Magnetic Resonance Imaging (fMRI) maps cerebral activation in response to stimuli but this activation is often difficult to detect, especially in low-signal contexts and single-subject studies. Accurate activation detection can be guided by the fact that very few voxels are, in reality, truly activated and that activated voxels are spatially localized, but it is challenging to incorporate both these facts. We provide a computationally feasible and methodologically sound model-based… Expand

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References

SHOWING 1-10 OF 74 REFERENCES
Assessing certainty of activation or inactivation in test–retest fMRI studies
TLDR
A model-based approach to certainty estimation from data acquired over several replicates of the same experimental paradigm, where the p-values derived from the statistical analysis of the data are explicitly modeled as a mixture of their underlying distributions; thus, there is no subjective thresholding required in the estimation process. Expand
A Bayesian Time-Course Model for Functional Magnetic Resonance Imaging Data
TLDR
A nonlinear Bayesian hierarchical model for fMRI data is described and inferential methods that enable investigators to directly target their scientific questions of interest, many of which are inaccessible to current methods are presented. Expand
Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold
TLDR
Monte Carlo simulations and fMRI studies of human subjects have been used to verify that this approach can improve statistical power by as much as fivefold over techniques that rely solely on adjusting per pixel false positive probabilities. Expand
Cluster-extent based thresholding in fMRI analyses: Pitfalls and recommendations
TLDR
Several analysis and reporting procedures are recommended, including setting primary p<.001 as a default lower limit; using more stringent primary thresholds or voxel-wise correction methods for highly powered studies; and adopting reporting practices that make the level of spatial precision transparent to readers. Expand
Test‐retest reliability estimation of functional MRI data
TLDR
This work has developed statistical models to provide precise estimates for reliability from several runs of the same paradigm over time by incorporating spatial context into the estimation process, and derives statistical methodology to determine optimal thresholds for region‐ and context‐specific activations. Expand
Functional magnetic resonance imaging: imaging techniques and contrast mechanisms.
  • A. Howseman, R. Bowtell
  • Computer Science, Medicine
  • Philosophical transactions of the Royal Society of London. Series B, Biological sciences
  • 1999
TLDR
The activation signal measured with fMRI is predicated on indirectly measuring changes in the concentration of deoxyhaemoglobin which arise from an increase in blood oxygenation in the vicinity of neuronal firing. Expand
An evaluation of thresholding techniques in fMRI analysis
TLDR
This paper reviews and compares individual voxel-wise thresholding methods for identifying active voxels in single-subject fMRI datasets, indicating that the error rate used has an important impact on the sensitivity of the thresholds, but that accounting for correlation has little impact. Expand
Statistical Parametric Maps for Functional MRI Experiments in R: The Package fmri
TLDR
The complete pipeline for fMRI analysis using fmri is described and data reading from various medical imaging formats and the linear modeling used to create the statistical parametric maps are described. Expand
A Three-Dimensional Statistical Analysis for CBF Activation Studies in Human Brain
TLDR
A simple method for determining an approximate p value for the global maximum based on the theory of Gaussian random fields is described, which focuses on the Euler characteristic of the set of voxels with a value larger than a given threshold. Expand
Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates
TLDR
It is found that the most common software packages for fMRI analysis (SPM, FSL, AFNI) can result in false-positive rates of up to 70%. Expand
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