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 effect of scan length on the reliability of resting-state fMRI connectivity estimates
- PsychologyNeuroImage
- 2013
The intrinsic connectivity distribution: A novel contrast measure reflecting voxel level functional connectivity
- Psychology, MedicineNeuroImage
- 2012
The resting brain: unconstrained yet reliable.
- PsychologyCerebral cortex
- 2009
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.
Test–retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures
- PsychologyNeuroImage
- 2012
Reliable intrinsic connectivity networks: Test–retest evaluation using ICA and dual regression approach
- BiologyNeuroImage
- 2010
Nonstationarity in the ‘resting brain's’ modular architecture
- PsychologyAlzheimer's & Dementia
- 2012
Non-Stationarity in the “Resting Brain’s” Modular Architecture
- PsychologyPloS one
- 2012
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.
Functional connectivity in BOLD and CBF data: Similarity and reliability of resting brain networks
- BiologyNeuroImage
- 2015
Coupled Intrinsic Connectivity Distribution Analysis: A Method for Exploratory Connectivity Analysis of Paired fMRI Data
- PsychologyPloS one
- 2014
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.