Ying-hui Chou1,
1Fu-Jen Catholic University,
Hsin-chung, Taipei, Taiwan; 2Brigham and Womens Hospital and
Harvard Medical School, Boston, MA, United States; 3VA Boston
Healthcare System and Harvard Medical School, Boston, MA, United States; 4Duke
University, Durham, NC, United States
In
this study, we assessed the within- and between-subject reproducibility of
resting-state functional connectivity measured by a matrix-based analysis
(MBA) in six healthy volunteers. The MBA can quantify connectivity strength
for the whole brain without a priori model, and can be applied to dissociate
clinical populations. Each participant was scanned nine times for more than a
one-year period. Our results show that 1) the functional networks measured by
the MBA are highly reproducible across nine sessions; and 2) there exists
measurable between-subject variance. The MBA-based connectivity mapping
should prove useful for monitoring long-term changes in functional networks.