Abstract
Most fMRI studies use voxel-wise statistics to carry out intra-subject as well as inter-subject analysis. We show that statistics derived from voxel-wise comparisons are likely to be noisy and error prone, especially for inter-subject comparisons. In this paper we propose a novel metric called weighted cluster coverage to compare two activation maps. This metric is based on the intersection of spatially contiguous clusters of activations. It is found to be more robust than voxel-wise comparisons and could potentially lead to more statistical power in fMRI-based group studies.
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Cecchi, G.A., Garg, R., Rao, A.R. (2009). A Cluster Overlap Measure for Comparison of Activations in fMRI Studies. In: Yang, GZ., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. MICCAI 2009. Lecture Notes in Computer Science, vol 5761. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04268-3_125
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DOI: https://doi.org/10.1007/978-3-642-04268-3_125
Publisher Name: Springer, Berlin, Heidelberg
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