The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods

@inproceedings{Iraji2016TheCD,
  title={The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods},
  author={Armin Iraji and Vince D. Calhoun and Natalie M. Wiseman and Esmaeil Davoodi-Bojd and Mohammad R. N. Avanaki and E. Mark Haacke and Zhifeng Kou},
  booktitle={NeuroImage},
  year={2016}
}
Spontaneous fluctuations of resting state functional MRI (rsfMRI) have been widely used to understand the macro-connectome of the human brain. However, these fluctuations are not synchronized among subjects, which leads to limitations and makes utilization of first-level model-based methods challenging. Considering this limitation of rsfMRI data in the time domain, we propose to transfer the spatiotemporal information of the rsfMRI data to another domain, the connectivity domain, in which each… CONTINUE READING
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