Reliable Intrinsic Connectivity Networks: Test-Retest Evaluation Using ICA and Dual Regression Approach

By Xi-Nian Zuo, Clare Kelly, J. Adelstein, D. F. Klein, F. X. Castellanos, Michael P. Milham. NeuroImage, 2009

766 citations recorded by the source corpus.

Functional connectivity analyses of resting-state fMRI data are rapidly emerging as highly efficient and powerful tools for in vivo mapping of functional networks in the brain, referred to as intrinsic connectivity networks (ICNs). Despite a burgeoning literature, researchers continue to struggle with the challenge of defining computationally efficient and reliable approaches for identifying and characterizing ICNs. Independent component analysis (ICA) has emerged as a powerful tool for exploring ICNs in both healthy and clinical populations. In particular, temporal concatenation group ICA (TC-GICA) coupled with a back-reconstruction step produces participant-level resting state functional connectivity (RSFC) maps for each group-level component. The present work systematically evaluated the test-retest reliability of TC-GICA derived RSFC measures over the short-term (< 45 minutes) and long-term (5 − 16 months). Additionally, to investigate the degree to which the components revealed by TC-GICA are detectable via single-session ICA, we investigated the reproducibility of TC-GICA findings. First, we found moderate-to-high short- and long-term test-retest reliability for ICNs derived by combining TC-GICA and dual regression. Exceptions to this finding were limited to physiological- and imaging-related artifacts. Second, our reproducibility analyses revealed notable limitations for template matching procedures to accurately detect TC-GICA based components at the individual scan level. Third, we found that TC-GICA component's reliability and reproducibility ranks are highly consistent. In summary, TC-GICA combined with dual regression is an effective and reliable approach to exploratory analyses of resting state fMRI data.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/4d984e3b100ff698cee40f76a0cebba32c633cea

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In Cognitive Neuroscience

Citations in the corpus

Identification of reproducible individualized targets for treatment of depression with TMS based on intrinsic connectivity (2012, unknown): “…2011; Seeley et al., 2007; van den Heuvel et al., 2009; Zhu et al., 2011) and to some extent reproducible across scanning sessions (Braun et al., 2012; Cohen et al., 2008; Mannfolk et al., 2011; Meindl et al., 2010; Shehzad et al., 2009; Van Dijk et al., 2010; Wang et al., 2011; Zuo et al., 2010).”
Anticorrelations in resting state networks without global signal regression (2011, unknown): “…identi ﬁ ed by resting-state fMRI have been shown to be robust and reliable (Damoiseaux et al., 2006; Shehzad et al., 2009; Van Dijk et al., 2010; Zuo et al., 2010), and can thus provide useful information about brain organization differences across different clinical populations (Dosenbach et…”
The effect of resting condition on resting-state fMRI reliability and consistency: A comparison between resting with eyes open, closed, and fixated (2013, methodology): “The test–retest reliability of fMRI activation and connectivity has previously been assessed using the Intraclass Correlation Coefficient (ICC) introduced by Shrout and Fleiss in 1979 (Braun et al., 2012; Li et al., 2012; Shehzad et al., 2009; Thomason et al., 2011; Zuo et al., 2010).”
Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI (2015, background): “…metrics derived from rfMRI data have already been shown to be reliable across participants, scan sequences, imaging sites, and time (Van De Ven et al., 2004; Damoiseaux et al., 2006; Shehzad et al., 2009; Biswal et al., 2010; Van Dijk et al., 2010; Zuo et al., 2010; Wisner et al., 2013).”
Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature (2017, background): “Multiple studies have found evidence for limited test-retest reliability using a multitude of conventional rs-fcMRI network characteristics and analytic approaches (Braun et al., 2012; Wang et al., 2011; Wisner et al., 2013; Zuo et al., 2010; Zuo and Xing, 2014).”
Behavioral Interpretations of Intrinsic Connectivity Networks (2011, methodology): “…variation in the components identified in the present been observed in other ICA-based studies of resting state and intrinsic connectivity (Allen et Zuo et al., 2010; Robinson et al., 2009; Smith et van den Heuvel et al., 2009; Calhoun, Kiehl, , 2008; Damoiseaux et al., 2006; De Luca et al.,…”
Fractionating the Default Mode Network: Distinct Contributions of the Ventral and Dorsal Posterior Cingulate Cortex to Cognitive Control (2011, methodology): “This builds on the output of the ICA analysis and provides a voxel-based measure of network integration for each individual (see Materials and Methods) (Beckmann et al., 2005; Filippini et al., 2009; Zuo et al., 2010).”
Effects of aging on functional and structural brain connectivity☆ (2017, background): “…organization in line with the functional segregation principle, i.e. multiple distinct functional connectivity networks, including default mode, executive control, attention, salience, sensorimotor, and visual networks (Damoiseaux et al., 2006; van den Heuvel et al., 2008; Zuo et al., 2010).”
REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing (2011, background): “Together with recent studies showing promising reliability for RS-fMRI [6–8], the evidence indicates that RS-fMRI may be very helpful in clinical studies.”
Clinical applications of the functional connectome (2013, unknown): “Another area that needs further exploration involves the spectral properties of the spontaneous BOLD signal fluctuations that contribute to functional connectivity measures (Biswal et al., 1995; Zuo et al., 2010a).”
Multi-level bootstrap analysis of stable clusters in resting-state fMRI (2009, background): “, 2004), the stability of the invidual maps themselves was not assessed unless some test-retest database was available (Zuo et al., 2010).”
Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space (2012, methodology): “This subject-wise ReHo normalization has been demonstrated to be able to improve both normality and reliability of amplitude measures across subjects in our previous work as described in Supplementary Materials from Zuo et al. (2010a).”
Graph Theoretical Analysis of Functional Brain Networks: Test-Retest Evaluation on Short- and Long-Term Resting-State Functional MRI Data (2011, methodology): “The dataset has been used to examine TRT reliability of seed-based resting-state functional connectivity (RSFC) [27], independent component analysis and dual regression [29], amplitude of low-frequency fluctuations [30] and functional homotopy [31].”
Growing together and growing apart: Regional and sex differences in the lifespan developmental trajectories of functional homotopy (2010, methodology): “First, using our TRT R-fMRI dataset (www.nitrc.org/projects/ nyu_trt) (Shehzad et al., 2009; Zuo et al., 2010a,b), we examined the TRT reliability of VMHC. VMHC showed both short- and long-term fair to excellent (0.4 intraclass correlation 1.0) reliability (Rosner, 2005) across most brain cortical…”