http://www.nitrc.org/forum/forum.php?forum_id=2839 <table border="0" width="100%"><tr><td align="left"/></tr></table> <p><b>One-year test-retest reliability of intrinsic connectivity network fMRI in older adults.</b></p> <p>Neuroimage. 2012 Mar 14;</p> <p>Authors: Guo CC, Kurth F, Zhou J, Mayer EA, Eickhoff SB, Kramer JH, Seeley WW</p> <p>Abstract<br/> "Resting-state" or task-free fMRI can assess intrinsic connectivity network (ICN) integrity in health and disease, suggesting a potential for use of these methods as disease-monitoring biomarkers. Numerous analytical options are available, including model-driven ROI-based correlation analysis and model-free, independent component analysis (ICA). High test-retest reliability will be a necessary feature of a successful ICN biomarker, yet available reliability data remains limited. Here, we examined ICN fMRI test-retest reliability in 24 healthy older subjects scanned roughly one year apart. We focused on the salience network, a disease-relevant ICN not previously subjected to reliability analysis, as well as the default mode network. Most ICN analytical methods proved reliable (intraclass coefficients&gt;0.4) and were further improved by wavelet analysis. Seed-based ROI correlation analysis showed high scan-wise reliability, whereas graph theoretical analysis and temporal concatenation group ICA proved most reliable at the individual unit-wise level (voxels, ROIs). Including global signal regression in ROI-based correlation analyses reduced reliability. Our study provides a direct comparison between the most commonly used ICN fMRI methods and potential guidelines for measuring intrinsic connectivity in aging control and patient populations over time.<br/> </p><p>PMID: 22446491 [PubMed - as supplied by publisher]</p> en-us Copyright 2000-2026 NITRC OSI Sun, 26 Apr 2026 20:54:29 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator