Name
Title | ||
|---|---|---|
One-year test-retest reliability of intrinsic connectivity network fMRI in older adults. |
Abstract | ||
|---|---|---|
“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>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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.neuroimage.2012.03.027 | NeuroImage |
Keywords | Field | DocType |
aging,magnetic resonance imaging,brain mapping | Voxel,Brain mapping,Developmental psychology,Default mode network,Regression,Salience (neuroscience),Psychology,Correlation,Independent component analysis,Wavelet | Journal |
Volume | Issue | ISSN |
61 | 4 | 1053-8119 |
Citations | PageRank | References |
32 | 1.42 | 20 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christine C Guo | 1 | 38 | 3.23 |
| Florian Kurth | 2 | 142 | 7.54 |
| Juan Zhou | 3 | 83 | 4.71 |
| Emeran A. Mayer | 4 | 44 | 3.64 |
| Simon B. Eickhoff | 5 | 1297 | 79.68 |
| J Krämer | 6 | 38 | 2.95 |
| William W Seeley | 7 | 38 | 2.90 |