Functional connectivity estimation in fMRI data: influence of preprocessing and time course selection.

@article{Gavrilescu2008FunctionalCE,
  title={Functional connectivity estimation in fMRI data: influence of preprocessing and time course selection.},
  author={Maria Gavrilescu and Geoffrey W. Stuart and Susan Lee Rossell and Katherine R. Henshall and Colette McKay and Alex A. Sergejew and David Leon Copolov and Gary F. Egan},
  journal={Human brain mapping},
  year={2008},
  volume={29 9},
  pages={1040-52}
}
A number of techniques have been used to provide functional connectivity estimates for a given fMRI data set. In this study we compared two methods: a 'rest-like' method where the functional connectivity was estimated for the whitened residuals after regressing out the task-induced effects, and a within-condition method where the functional connectivity was estimated separately for each experimental condition. In both cases four pre-processing strategies were used: 1) time courses extracted… CONTINUE READING
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