The resting brain: unconstrained yet reliable.
By Zarrar Shehzad, A. Kelly, Philip T. Reiss, Dylan G. Gee, K. Gotimer, Lucina Q. Uddin, Sang Han Lee, Daniel S. Margulies, Amy K. Roy, B. B. Biswal and 3 more. Cerebral Cortex, 2009
960 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/b15ef1ac571c4a83b26b49cb00e28e11f9e23f61
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Olaf Sporns
- Xi-Nian Zuo
- D. Bassett
- Yong He
- Michael P. Milham
- E. Bullmore
- Stephen M. Smith
- F. X. Castellanos
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- The Influence of Head Motion on Intrinsic Functional Connectivity MRI (2011, methodology): “The technique is robust and yields reliable measures within individuals (e.g., Honey et al., 2009; Meindl et al., 2010; Shehzad et al., 2009; Van Dijk et al., 2010; Zuo et al., 2010).”
- Functional system and areal organization of a highly sampled individual human brain (2015, methodology): “RSFC studies commonly acquire only 5–10 min of scan time on each participant, based on recommendations given in past reports (Damoiseaux et al., 2006; Shehzad et al., 2009; Van Dijk 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.”
- A whole brain fMRI atlas generated via spatially constrained spectral clustering (2011, methodology): “, 2010], the analysis was performed on an independent dataset, the New York University test-retest dataset [Shehzad et al., 2009] freely available through the 1,000 Functional Connectomes Project [Biswal et al.”
- Efficient hubs in the intelligent brain: Nodal efficiency of hub regions in the salience network is associated with general intelligence (2017, background): “…network is associated with general intell..., Intelligence (2016), http://dx.doi.org/10.1016/j.intell.2016.11.001 to be relatively stable over time (Shehzad et al., 2009; Zuo et al., 2010), to relate closely to underlying anatomical connections (Greicius, Supekar, Menon, & Dougherty, 2009; Hagmann…”
- Influences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility (2017, background): “…its test– retest reliability is an active line of research and has resulted in estimates of test–retest reliability ranging from poor to good (Shehzad et al. 2009; Van Dijk et al. 2010; Anderson et al. 2011; Birn et al. 2013; Shou et al. 2013; Laumann et al. 2015; Noble et al. 2016; Shah…”
- A Baseline for the Multivariate Comparison of Resting-State Networks (2011, methodology): “These networks show surprisingly consistent, though not identical, patterns of activation in the presence or absence of a particular task (Calhoun et al., 2008a; Harrison et al., 2008; Laird et al., 2009; Smith et al., 2009), and are often acquired while subjects are at rest.”
- Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture (2014, background): “However, functional coupling stability is heterogeneous across the cerebral cortex in test–retest measures [8] as well as between individuals [81].”
- The effect of scan length on the reliability of resting-state fMRI connectivity estimates (2013, neutral): “These signal fluctuations from non-neuronal activity may 75 overestimate the strength of connectivity and, in turn, affect the reliabil- 76 ity of estimating ICNs (Birn, 2012; Power et al., 2012; Weissenbacher 77 et al., 2009).”
- 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).”
- Focal Brain Lesions to Critical Locations Cause Widespread Disruption of the Modular Organization of the Brain (2012, neutral): “identify stable (Shehzad et al., 2009) intrinsic functional networks that, in a short fMRI recording session, recapitu-”
- Reliable Intrinsic Connectivity Networks: Test-Retest Evaluation Using ICA and Dual Regression Approach (2009, positive): “The greater reliability of ICNs compared to noise components provides support for the notion that stable trait differences exist among individuals with respect to their ICN characteristics (Shehzad et al., 2009; Buckner et al., 2009; Smith et al., 2009; Damoiseaux et al., 2006).”
- Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space (2012, methodology): “For more information regarding data collection methods, please refer to Shehzad et al. (2009), Zuo et al. (2010a,b,c, 2012), Zuo and Xing (2011), Wang et al. (2011a).”
- Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures (2012, background): “As reliability of resting-state markers were shown to be highly dependent on strength and valence of correlations (Shehzad et al., 2009), networks studies investigating whole-brain networks might profit from larger acquisition times.”