Inter-Individual Differences in Resting State Functional Connectivity Predict Task-Induced BOLD Activity

By Maarten Mennes, Clare Kelly, Xi-Nian Zuo, A. di Martino, Bharat B. Biswal, F. X. Castellanos, Michael P. Milham. NeuroImage, 2010

367 citations recorded by the source corpus.

The resting brain exhibits coherent patterns of spontaneous low-frequency BOLD fluctuations. These so-called resting-state functional connectivity (RSFC) networks are posited to reflect intrinsic representations of functional systems commonly implicated in cognitive function. Yet, the direct relationship between RSFC and the BOLD response induced by task performance remains unclear. Here we examine the relationship between a region’s pattern of RSFC across participants, and that same region’s level of BOLD activation during an Eriksen Flanker task. To achieve this goal we employed a voxel-matched regression method, which assessed whether the magnitude of task-induced activity at each brain voxel could be predicted by measures of RSFC strength for the same voxel, across 26 healthy adults. We examined relationships between task-induced activation and RSFC strength for 6 different seed regions (Fox et al., 2005), as well as the “default mode” and “task-positive” resting-state networks in their entirety. Our results indicate that, for a number of brain regions, inter-individual differences in task-induced BOLD activity were predicted by one of two resting-state properties: 1) the region’s positive connectivity strength with the task-positive network, or 2) its negative connectivity with the default mode network. Strikingly, most of the regions exhibiting a significant relationship between their RSFC properties and task-induced BOLD activity were located in transition zones between the default mode and task-positive networks. These results suggest that a common mechanism governs many brain regions’ neural activity during rest and its neural activity during task performance.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/c09af7c65095ad7ec6fdb9879a271358340eaeb0

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

Citations in the corpus

Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI (2017, background): “Given the strong link between task-fMRI and rs-fMRI (Smith et al. 2009; Mennes et al. 2010; Cole et al. 2014; Krienen et al. 2014; Bertolero et al. 2015; Yeo et al. 2015a; Tavor et al. 2016), and since the gwMRF model produced parcellations that were the most connectionally homogeneous (previous sec”
Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks (2012, neutral): “Such networks have been associated with individual differences in healthy people (Mennes et al., 2010).”
Anticorrelations in resting state networks without global signal regression (2011, positive): “The strength of the negative correlation between the default mode network regions and task-positive network regions has been linked to variability in task performance (Hampson et al., 2010; Kelly et al., 2008) and individual differences in task-induced BOLD activity (Mennes et al., 2010).”
Whole Brain Resting-State Analysis Reveals Decreased Functional Connectivity in Major Depression (2010, positive): “For example, resting-state (RS; i.e., without external task demands) FC may be able to predict how the brain responds to an externally cued task (Mennes et al., 2010).”
Intrinsic architecture underlying the relations among the default, dorsal attention, and frontoparietal control networks of the human brain (2012, background): “The default-aligned node, left aIPL, has been observed to facilitate modulation (i.e. suppression) of the default network (Menon & Uddin, 2010).”
Clinical applications of the functional connectome (2013, positive): “…R-fMRI measures The popularity of R-fMRI functional connectivity has been spurred by the close correspondence between the statistical maps resulting from R-fMRI analyses and task-based fMRI coactivations (Biswal et al., 1995; Damoiseaux et al., 2006; Mennes et al., 2010, 2013; Smith et al., 2009).”
Resting State fMRI: A Personal History (2012, background): “In followup studies (Mennes et al., 2010), it has also been shown that most of the regions exhibiting a significant relationship between their RSFC properties and task-related BOLD activity were located in intermediate “transition zones” between default-mode and task-positive networks.”