Detecting Activations in PET and fMRI: Levels of Inference and Power

@article{Friston1996DetectingAI,
  title={Detecting Activations in PET and fMRI: Levels of Inference and Power},
  author={Karl J. Friston and Andrew P. Holmes and Jean-Baptiste Poline and Cathy J. Price and Christopher D. Frith},
  journal={NeuroImage},
  year={1996},
  volume={4},
  pages={223-235}
}
This paper is about detecting activations in statistical parametric maps and considers the relative sensitivity of a nested hierarchy of tests that we have framed in terms of the level of inference (voxel level, cluster level, and set level). These tests are based on the probability of obtaining c, or more, clusters with k, or more, voxels, above a threshold u. This probability has a reasonably simple form and is derived using distributional approximations from the theory of Gaussian fields… CONTINUE READING

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