Multisite reliability of MR-based functional connectivity

@article{Noble2017MultisiteRO,
  title={Multisite reliability of MR-based functional connectivity},
  author={Stephanie Noble and Dustin Scheinost and Emily S. Finn and Xilin Shen and Xenophon Papademetris and Sarah C. McEwen and Carrie E. Bearden and Jean M. Addington and Bradley G. Goodyear and Kristin S. Cadenhead and Heline Mirzakhanian and Barbara A. Cornblatt and Doreen M. Olvet and Daniel H. Mathalon and Thomas H. McGlashan and Diana O. Perkins and Aysenil Belger and Larry J. Seidman and Heidi W. Thermenos and Ming T. Tsuang and T.A.G.M. Erp},
  journal={NeuroImage},
  year={2017},
  volume={146},
  pages={959-970}
}

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References

SHOWING 1-10 OF 107 REFERENCES
The resting brain: unconstrained yet reliable.
TLDR
The findings provide a solid foundation for continued examination of resting state fcMRI in typical and atypical populations, and short- and long-term measures of the consistency of global connectivity patterns were highly robust.
Nonstationarity in the ‘resting brain's’ modular architecture
Non-Stationarity in the “Resting Brain’s” Modular Architecture
TLDR
Differences in connectivity in Alzheimer’s disease can be explained by differences in dwell time in DMN sub-network configurations, rather than steady state connectivity magnitude, which may underlie the TF-fMRI findings that have been described in mild cognitive impairment and cognitively normal subjects who are at risk for Alzheimer's dementia.
Coupled Intrinsic Connectivity Distribution Analysis: A Method for Exploratory Connectivity Analysis of Paired fMRI Data
TLDR
The coupled-ICD approach detected differences between paired conditions in similar brain regions as the conventional approaches while also revealing additional changes in regions not identified using conventional voxel-based connectivity analyses.
Multisite reliability of cognitive BOLD data
...
1
2
3
4
5
...