One-year test-retest reliability of intrinsic connectivity network fMRI in older adults

Guo, Christine C., Kurth, Florian, Zhou, Juan, Mayer, Emeran A., Eickhoff, Simon B., Kramer, Joel H. and Seeley, William W. (2012) One-year test-retest reliability of intrinsic connectivity network fMRI in older adults. NeuroImage, 61 4: 1471-1483. doi:10.1016/j.neuroimage.2012.03.027

Author Guo, Christine C.
Kurth, Florian
Zhou, Juan
Mayer, Emeran A.
Eickhoff, Simon B.
Kramer, Joel H.
Seeley, William W.
Title One-year test-retest reliability of intrinsic connectivity network fMRI in older adults
Journal name NeuroImage   Check publisher's open access policy
ISSN 1053-8119
Publication date 2012-07-16
Year available 2012
Sub-type Article (original research)
DOI 10.1016/j.neuroimage.2012.03.027
Open Access Status Not Open Access
Volume 61
Issue 4
Start page 1471
End page 1483
Total pages 13
Place of publication Amsterdam, The Netherlands
Publisher Elsevier BV
Language eng
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.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Brain Institute Publications
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Created: Tue, 28 Oct 2014, 06:02:08 EST by Sylvie Pichelin on behalf of Queensland Brain Institute