Inter-individual differences in resting-state functional connectivity predict task-induced BOLD activity

Phyllis Green and Randolph Cōwen Institute for Pediatric Neuroscience at the NYU Child Study Center, 215 Lexington Avenue 14th Floor, New York, NY 10016, USA.
NeuroImage (Impact Factor: 6.36). 05/2010; 50(4):1690-701. DOI: 10.1016/j.neuroimage.2010.01.002
Source: PubMed


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 six different seed regions [Fox, M.D., Snyder, A.Z., Vincent, J.L., Corbetta, M., Van Essen, D.C., Raichle, M.E., 2005. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc. Natl. Acad. Sci. U. S. A. 102, 9673-9678.], 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.

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Available from: Bharat Biswal, Mar 30, 2014
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    • "For instance, is functional connectivity present in the absence of structural connectivity, or is one predictive of the other (Honey et al., 2009)? While many studies have investigated this in the past (Honey et al., 2009; van den Heuvel et al., 2009; Mennes et al., 2010; Zhang et al., 2010; Várkuti et al., 2011; Bowman et al., 2012; Hermundstad et al., 2013; Sporns, 2013; Whittingstall et al., 2013; Goni et al., 2014; Ward et al., 2014; Zhu et al., 2014), surprisingly few studies have investigated how subtle changes in the analysis pipeline may alter structure-function relationships (Bastiani et al., 2012). For example, functional connectivity between highly vascularized areas may be artificially large due to increased signal-to-noise-ratio (SNR) (Vigneau-Roy et al., 2014). "
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    • "Functional connectivity can be analyzed using task-free (or resting-state) and task-based fMRI protocols. Previous research on functional connectivity has shown that task-related co-activation patterns correspond well with brain systems that are measured at rest (Smith et al., 2009; Mennes et al., 2010). However, there is also evidence that task-based acquisitions may capture specific dynamic neural responses in regions with a key role in task processing (Buckner et al., 2009; Mennes et al., 2013). "
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    • "The brain at rest consistently yields activity in the default mode network (DMN), which includes areas in the posterior cingulate cortex (PCC), precuneus, medial prefrontal areas, and the medial temporal lobes (Raichle et al., 2001; Greicius et al., 2003). The DMN was initially considered to represent neural baseline activity until further investigations showed that activity within the DMN is functionally related to internally driven mental states, such as self-referential processing, long-term memory, and mentalizing, and that its deactivation plays a functional role during externally directed tasks (Buckner et al., 2008; Kelly et al., 2008; Burianova et al., 2010; Mennes et al., 2010; Sambataro et al., 2010; Anticevic et al., 2012). In addition, an emerging view suggests that cognitive performance in general might rely on the dynamic interaction between the DMN and two other large-scale neural networks: the fronto-parietal task-positive network (FPN), which is associated with attention and cognitive control, and the salience network (SN) in anterior cingulate and fronto-insular cortex, which is involved in the selection of emotionally and motivationally relevant stimuli (Fox et al., 2005; Seeley et al., 2007; Sridharan et al., 2008; Chen et al., 2013; Spreng et al., 2013; Andrews-Hanna et al., 2014). "
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