Investigating the Functional Heterogeneity of the Default Mode Network Using Coordinate-Based Meta-Analytic Modeling

By Angela R. Laird, Simon B. Eickhoff, Karl Li, Donald A. Robin, David C. Glahn, Peter T. Fox. Journal of Neuroscience, 2009

561 citations recorded by the source corpus.

The default mode network (DMN) comprises a set of regions that exhibit ongoing, intrinsic activity in the resting state and task-related decreases in activity across a range of paradigms. However, DMN regions have also been reported as task-related increases, either independently or coactivated with other regions in the network. Cognitive subtractions and the use of low-level baseline conditions have generally masked the functional nature of these regions. Using a combination of activation likelihood estimation, which assesses statistically significant convergence of neuroimaging results, and tools distributed with the BrainMap database, we identified core regions in the DMN and examined their functional heterogeneity. Meta-analytic coactivation maps of task-related increases were independently generated for each region, which included both within-DMN and non-DMN connections. Their functional properties were assessed using behavioral domain metadata in BrainMap. These results were integrated to determine a DMN connectivity model that represents the patterns of interactions observed in task-related increases in activity across diverse tasks. Subnetwork components of this model were identified, and behavioral domain analysis of these cliques yielded discrete functional properties, demonstrating that components of the DMN are differentially specialized. Affective and perceptual cliques of the DMN were identified, as well as the cliques associated with a reduced preference for motor processing. In summary, we used advanced coordinate-based meta-analysis techniques to explicate behavior and connectivity in the default mode network; future work will involve applying this analysis strategy to other modes of brain function, such as executive function or sensorimotor systems.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/75929e177ab29f97d2503d3929f95c558144696a

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

Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation (2011, methodology): “Analysis of the behavioral domain and paradigm class meta-data (Laird et al., 2009a) moreover allowed the delineation of functional characteristics for the ensuing cortical modules.”
Cognitive relevance of the community structure of the human brain functional coactivation network (2013, result): “Proc Natl Acad Sci USA 92(13):5969–5972.”
Activation Likelihood Estimation meta-analysis revisited (2011, background): “Such meta-analyses allow the identification of brain regions' locations that show a consistent response across experiments, collectively involving hundreds of subjects and numerous implementations of a particular paradigm (Laird et al., 2009a, 2009b).”
Minimizing Within-Experiment and Within-Group Effects in Activation Likelihood Estimation Meta-Analyses (2011, methodology): “…[Di et al., 2009; Ferreira et al., 2009; Glahn et al., 2008], to deﬁne regions of interest for new imaging experiments [Karlsgodt et al., 2010; Laird et al., 2008; Zevin et al., 2010], or for functional connectivity mapping [Eickhoff et al., 2010; Laird et al., 2009a,b; Robinson et al., 2010].”
Meta-analytic evidence for common and distinct neural networks associated with directly experienced pain and empathy for pain (2011, unknown): “In addition to the image-based meta-analyses, we performed a coordinate-based meta-analysis using the Activation Likelihood Estimation (ALE) approach (Eickhoff et al., 2009; Laird et al., 2009).”
Sleep deprivation reduces default mode network connectivity and anti-correlation during rest and task performance (2012, background): “The IPL region is implicated in diverse cognitive operations (Laird et al., 2009), including bodily awareness (Felician et al., 2009), generating a sense of personal responsibility (Schaich Borg et al., 2006), and moral decision-making (Raine and Yang, 2006).”
Neural network of cognitive emotion regulation — An ALE meta-analysis and MACM analysis (2013, methodology): “BrainMap and ALE not only allow retrospective meta-analysis, but can also be used to validate new paradigms or analyze co-occurring networks via MACM (Laird et al., 2009a) and, in this context for formal reverse inference on associated functions via functional decoding (Cieslik et al., 2012; Poldrac”
What is normal in normal aging? Effects of Aging, Amyloid and Alzheimer’s Disease on the Cerebral Cortex and the Hippocampus (2014, background): “Recent normative studies (Laird et al., 2009; Andrews-Hanna et al., 2010) have pointed to at least seven important regions within the default mode and episodic memory/ simulation network: rostral middle frontal, inferior parietal cortex and middle temporal cortex on the lateral side, and medial…”
Behavioral Interpretations of Intrinsic Connectivity Networks (2011, methodology): “This method has been used to assess functional connectivity of the amygdala (Robinson, Laird, Glahn, Lovallo, & Fox, 2010) and parietal operculum (Eickhoff et al., 2010), as well as regions of the default mode network (Laird et al., 2009).”
Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition (2010, unknown): “N IH -PA Author M anuscript N IH -PA Author M anuscript lobes, and posterior inferior parietal lobule (pIPL), that are suppressed during tasks that demand externalized attention (Buckner et al., 2008; Gusnard and Raichle, 2001; Laird et al., 2009; Shulman et al., 1997).”
Modelling neural correlates of working memory: A coordinate-based meta-analysis (2011, unknown): “All meta-analyses were performed using the revised activation likelihood estimation (ALE) algorithm for coordinate-based meta-analysis of neuroimaging results (Eickhoff et al., 2009 2011; Laird et al., 2009a, 2009b; Turkeltaub et al., 2002) implemented as in-house MATLAB tools.”
Neural activity that predicts subsequent memory and forgetting: A meta-analysis of 74 fMRI studies (2011, background): “The discernment of findings' convergences and divergences among studies is becoming increasingly important, albeit more difficult, as neuroimaging data continue to accumulate at a rapidly accelerating pace (Laird et al., 2009b).”
Meta-analyzing brain dysfunctions in dyslexic children and adults (2011, unknown): “Support for this differentiation comes from a recent meta-analysis (Laird et al., 2009) showing that the bilateral IPL is part of the default mode network which is”