Ann S. Choe1,
2, Suresh E. Joel3, 4, Craig K. Jones3,
4, John Muschelli5, Visar Belegu1, 2,
John W. McDonald1, 2, Brian S. Caffo5, Peter
C.M. van Zijl3, 4, James J. Pekar3, 4
1Neurology,
Johns Hopkins University School of Medicine, Baltimore, MD, United States; 2International
Center for Spinal Cord Injury, Hugo Moser Research Institute, Kennedy Krieger
Institute, Baltimore, MD, United States; 3Russell H. Morgan
Department of Radiology and Radiological Science, Johns Hopkins University
School of Medicine, Baltimore, MD, United States; 4FM Kirby
Research Center for Functional Brain Imaging, Kennedy Krieger Institute,
Baltimore, MD, United States; 5Department of Biostatistics,
Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD,
United States
Understanding the intra-subject inter-session reproducibility of resting-state fMRI over prolonged time periods is essential. A longitudinal dataset of a healthy subject that covers the span of 128 weeks with weekly repeat measures was used to investigate the stability of network spatial distributions and between network connectivity (BNC), which were found to be stable over 128 weeks. This shows that rs-fMRI outcome measures can be used to reliably monitor disease progression and responses to therapeutic interventions. The most spatially stable network was the primary motor network and BNC was most stable between the secondary visual and salience networks.