Hierarchical clustering to measure connectivity in fMRI resting-state data.

@article{Cordes2002HierarchicalCT,
  title={Hierarchical clustering to measure connectivity in fMRI resting-state data.},
  author={Dietmar Cordes and Vic Haughton and John D. Carew and Konstantinos Arfanakis and Ken Maravilla},
  journal={Magnetic resonance imaging},
  year={2002},
  volume={20 4},
  pages={305-17}
}
Low frequency oscillations, which are temporally correlated in functionally related brain regions, characterize the mammalian brain, even when no explicit cognitive tasks are performed. Functional connectivity MR imaging is used to map regions of the resting brain showing synchronous, regional and slow fluctuations in cerebral blood flow and oxygenation. In this study, we use a hierarchical clustering method to detect similarities of low-frequency fluctuations. We describe one measure of… CONTINUE READING
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Human BrainMapping; 8:151-156

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