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October 31, 2025Contemporary MathematicsOpen Access

Improved Cluster-Wise Inference in Functional Magnetic Resonance Imaging via Geometric Redefinition of Cluster Size

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Geometric redefinition of cluster size improved family-wise error rate control in fMRI studies.
Analysis demonstrated lower false-positive rates compared to conventional methods using voxel-counting.
Methodology incorporated Statistical Parametric Mapping and Euler Characteristic for improved statistical inference.
Findings support the integration of intrinsic volume definitions into existing cluster-wise inference workflows.

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Implication

This analysis demonstrates improved control of false-positive rates in functional magnetic resonance imaging, highlighting the role of cluster size and geometric definitions in statistical inference.

Cite This Study

Xu et al. (2025) studied this question.

synapsesocial.com/papers/6903feedb25c631a426600b3 https://doi.org/10.37256/cm.6620258354

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Implication

This analysis demonstrates improved control of false-positive rates in functional magnetic resonance imaging, highlighting the role of cluster size and geometric definitions in statistical inference.

Improved Cluster-Wise Inference in Functional Magnetic Resonance Imaging via Geometric Redefinition of Cluster Size

Key Points

Discussion

Implication

Cite This Study

Improved Cluster-Wise Inference in Functional Magnetic Resonance Imaging via Geometric Redefinition of Cluster Size

Key Points

Discussion

Implication

Cite This Study

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