Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets.

@article{Arfanakis2000CombiningIC,
  title={Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets.},
  author={Konstantinos Arfanakis and Dietmar Cordes and V Haughton and Chad H. Moritz and Michelle A Quigley and Mary E. Meyerand},
  journal={Magnetic resonance imaging},
  year={2000},
  volume={18 8},
  pages={921-30}
}
A new approach in studying interregional functional connectivity using functional magnetic resonance imaging (fMRI) is presented. Functional connectivity may be detected by means of cross correlating time course data from functionally related brain regions. These data exhibit high temporal coherence of low frequency fluctuations due to synchronized blood flow changes. In the past, this fMRI technique for studying functional connectivity has been applied to subjects that performed no prescribed… CONTINUE READING
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