Frequency domain connectivity identification: an application of partial directed coherence in fMRI.

@article{Sato2009FrequencyDC,
  title={Frequency domain connectivity identification: an application of partial directed coherence in fMRI.},
  author={Jo{\~a}o Ricardo Sato and Daniel Y. Takahashi and Silvia M Arcuri and Koichi Sameshima and Pedro Alberto Morettin and Luiz A. Baccal{\'a}},
  journal={Human brain mapping},
  year={2009},
  volume={30 2},
  pages={452-61}
}
Functional magnetic resonance imaging (fMRI) has become an important tool in Neuroscience due to its noninvasive and high spatial resolution properties compared to other methods like PET or EEG. Characterization of the neural connectivity has been the aim of several cognitive researches, as the interactions among cortical areas lie at the heart of many brain dysfunctions and mental disorders. Several methods like correlation analysis, structural equation modeling, and dynamic causal models have… CONTINUE READING

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Functional magnetic resonance imaging ( fMRI ) has become an important tool in Neuroscience due to its noninvasive and high spatial resolution properties compared to other methods like PET or EEG .
Functional magnetic resonance imaging ( fMRI ) has become an important tool in Neuroscience due to its noninvasive and high spatial resolution properties compared to other methods like PET or EEG .
Functional magnetic resonance imaging ( fMRI ) has become an important tool in Neuroscience due to its noninvasive and high spatial resolution properties compared to other methods like PET or EEG .
Functional magnetic resonance imaging ( fMRI ) has become an important tool in Neuroscience due to its noninvasive and high spatial resolution properties compared to other methods like PET or EEG .
Functional magnetic resonance imaging ( fMRI ) has become an important tool in Neuroscience due to its noninvasive and high spatial resolution properties compared to other methods like PET or EEG .
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