Abstract

Abstract Current approaches to detecting significantly activated regions of cerebral tissue use statistical parametric maps, which are thresholded to render the probability of one or more activated regions of one voxel, or larger , suitably small (e. g., 0.05). We present an approximate analysis giving the probability that one or more activated regions of a specified volume, or larger , could have occurred by chance. These results mean that detecting significant activations no longer depends on a fixed (and high) threshold, but can be effected at any (lower) threshold, in terms of the spatial extent of the activated region. The substantial improvement in sensitivity that ensues is illustrated using a power analysis and a simulated phantom activation study. © 1994 Wiley‐Liss, Inc.

Keywords

VoxelStatistical powerStatistical parametric mappingParametric statisticsSensitivity (control systems)Imaging phantomStatistical analysisStatisticsComputer sciencePattern recognition (psychology)MathematicsArtificial intelligencePhysicsOpticsMagnetic resonance imagingMedicine

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Year
1994
Type
article
Volume
1
Issue
3
Pages
210-220
Citations
1934
Access
Closed

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Karl Friston, Keith J. Worsley, R. S. J. Frackowiak et al. (1994). Assessing the significance of focal activations using their spatial extent. Human Brain Mapping , 1 (3) , 210-220. https://doi.org/10.1002/hbm.460010306

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DOI
10.1002/hbm.460010306