A method for using blocked and event-related fMRI data to study "resting state" functional connectivity

By Damien A. Fair, Bradley L. Schlaggar, Alexander Li Cohen, Francis M. Miezin, Nico U F Dosenbach, Kristin K. Wenger, Michael D. Fox, Abraham Z. Snyder, Marcus E. Raichle, Steven E. Petersen. NeuroImage, 2007

599 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/7a0a4651f14001c2d403e87b78d37c94dad39469

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Citations in the corpus

Disrupted Modularity and Local Connectivity of Brain Functional Networks in Childhood-Onset Schizophrenia (2010, unknown): “…concatenating two consecutive 3-min scans is probably inferior to having one 6-min scan; however, it would seem comparable to concatenating the interleaved rest blocks from a task-activation study, which has been suggested as acceptable data for a resting-state fMRI study (Fair et al., 2007).”
Review of methods for functional brain connectivity detection using fMRI (2008, methodology): “Experiments have provided that these procedures may be useful for fcMRI study [63].”
Functional connectivity mapping of the human precuneus by resting state fMRI (2012, methodology): “variances that were unlikely to reflect neuronal activity (Fair et al., 2007; Fox and Raichle, 2007; Fox et al., 2005; Rombouts et al., 2003).”
Decoding brain states from fMRI connectivity graphs (2011, background): “For the resting condition, this approach is known to only differ from continuous resting-state analysis in a few regions, where it tends to underestimate correlations (Fair et al., 2007).”
Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks (2012, unknown): “The toolbox allows the deﬁnition of seed areas using standard practices, including individual mask image volumes [where an ROI is deﬁned by all voxels with values above zero, e.g., WFU pickatlas ﬁles (Maldjian et al., 2003) or functional mask ﬁles deﬁned using SPM save functionality], text ﬁles…”
Intrinsic and task-evoked network architectures of the human brain. (2014, unknown): “Previous findings identified similarity between resting-state FC and task FC for a small number of brain regions and tasks (Biswal et al., 1995; Fair et al., 2007; Fox et al., 2007; Greicius et al., Each task's whole-brain FC matrix was compared to the resting-state FC matrix (from Figure 4).”
Sleep deprivation reduces default mode network connectivity and anti-correlation during rest and task performance (2012, methodology): “Although some studies suggest that this approach generates results comparable to those obtained from resting state data (Arfanakis et al., 2000; Fair et al., 2007), others suggest otherwise (Esposito et al., 2006, 2009; Fransson, 2006).”
Que PASA? The posterior-anterior shift in aging. (2008, background): “Previous work has suggested that although there are similarities between event-related and blocked deactivations, there are still quantitative differences between the 2 (Fair et al. 2007).”
Brain graphs: graphical models of the human brain connectome. (2011, unknown): “The assumption of stationarity also arises if several short segments of fMRI time series, e.g., the resting-state epochs of a classical blocked periodic activation paradigm, are concatenated to form a composite time series for connectivity and network analysis (Fair et al. 2007).”
Functional Brain Networks Develop from a “Local to Distributed” Organization (2009, methodology): “These concatenated-extracted rest periods were shown to be equivalent to continuous resting data in a recent study describing this method [23].”
Defining functional areas in individual human brains using resting functional connectivity MRI (2008, methodology): “(H) For each seed, volumetric correlation maps were generated as in Fox et al. (Fox et al., 2005) and Fair et al. (Fair et al., 2007b) by correlating the timecourse of this region of interest with the timecourses of all other voxels over the entire volume of the brain.”