Quantifying learning-dependent changes in the brain: Single-trial multivoxel pattern analysis requires slow event-related fMRI.

@article{Visser2016QuantifyingLC,
  title={Quantifying learning-dependent changes in the brain: Single-trial multivoxel pattern analysis requires slow event-related fMRI.},
  author={Ren{\'e}e M Visser and Michelle I. C. de Haan and Tinka Beemsterboer and Pia Haver and Merel Kindt and H. Steven Scholte},
  journal={Psychophysiology},
  year={2016},
  volume={53 8},
  pages={1117-27}
}
Single-trial analysis is particularly useful for assessing cognitive processes that are intrinsically dynamic, such as learning. Studying these processes with fMRI is problematic, as the low signal-to-noise ratio of fMRI requires the averaging over multiple trials, obscuring trial-by-trial changes in neural activation. The superior sensitivity of multivoxel pattern analysis over univariate analyses has opened up new possibilities for single-trial analysis, but this may require different fMRI… CONTINUE READING
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