Functional Connectivity of the Human Amygdala using Resting State fMRI

By Amy K. Roy, Zarrar Shehzad, Daniel S. Margulies, A. Kelly, Lucina Q. Uddin, K. Gotimer, Bharat B. Biswal, F. X. Castellanos, Michael P. Milham. NeuroImage, 2008

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The amygdala is composed of structurally and functionally distinct nuclei that contribute to the processing of emotion through interactions with other subcortical and cortical structures. While these circuits have been studied extensively in animals, human neuroimaging investigations of amygdala-based networks have typically considered the amygdala as a single structure, which likely masks contributions of individual amygdala subdivisions. The present study uses resting state functional magnetic resonance imaging (fMRI) to test whether distinct functional connectivity patterns, like those observed in animal studies, can be detected across three amygdala subdivisions: laterobasal, centromedial, and superficial. In a sample of 65 healthy adults, voxelwise regression analyses demonstrated positively-predicted ventral and negatively-predicted dorsal networks associated with the total amygdala, consistent with previous animal and human studies. Investigation of individual amygdala subdivisions revealed distinct differences in connectivity patterns within the amygdala and throughout the brain. Spontaneous activity in the laterobasal subdivision predicted activity in temporal and frontal regions, while activity in the centromedial nuclei predicted activity primarily in striatum. Activity in the superficial subdivision positively predicted activity throughout the limbic lobe. These findings suggest that resting state fMRI can be used to investigate human amygdala networks at a greater level of detail than previously appreciated, allowing for the further advancement of translational models.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/c406fd5a10330c52ccf5d05103c8191a02db0071

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Citations in the corpus

Social functioning in major depressive disorder. (2016, positive): “Since amygdala has connections with prefrontal regions and striatum (Roy et al., 2009), its abnormal response might lead to alterations in productive aspects of communication.”
Growing together and growing apart: Regional and sex differences in the lifespan developmental trajectories of functional homotopy (2010, background): “This hypothesis was prompted by the strong correspondence (Hagmann et al., 2008), but not 1:1 identity (Vincent et al., 2007; Roy et al., 2009), between structural Received May 21, 2010; revised Aug. 2, 2010; accepted Aug. 26, 2010.”
Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks (2012, positive): “…RSFC has been used to dissociate functionally and anatomically heterogeneous regions of interest (Di Martino et al., 2008; Margulies et al., 2007; Roy et al., 2009; Uddin et al., 2010), and to delineate functional topography in the brain by sharp transitions in correlation patterns that signal…”
Fear Extinction as a Model for Translational Neuroscience: Ten Years of Progress (2012, background): “Accordingly, BL shows greater resting connectivity with vmPFC than with dACC, and Ce shows greater connectivity with dACC than with vmPFC (Etkin et al 2009, Roy et al 2009) Consistent with a role in reducing fear, the hippocampus shows greater connectivity with the BL than with Ce (Roy et al 2009).”
Working Memory: Theories, Models, and Controversies (2015, neutral): “Consistent with a role in reducing fear, the hippocampus shows greater connectivity with the BL than with Ce (Roy et al. 2009).”
Addiction related alteration in resting-state brain connectivity (2010, neutral): “…ones (Childress et al., 2008; Zhang et al., 2009)), involved in signaling pleasure of immediate prospects which are related to impulsive behaviors (Bechara, 2005) and was found to exhibit robust resting-state functional connectivity with affective brain areas including OFC (Roy et al., 2009).”
Reduced resting-state functional connectivity between amygdala and orbitofrontal cortex in social anxiety disorder (2011, background): “Recently, two studies in healthy controls (Roy et al., 2009) and patients with generalized anxiety disorder (Etkin et al., 2009) demonstrated distinct functional connectivity patterns for the amygdala when choosing amygdalar subregions like the basolateral and centromedial amygdala as seed.”
Graph-Based Network Analysis of Resting-State Functional MRI (2010, positive): “…investigate normal brain function (Greicius et al., 2003; Beckmann et al., 2005; Fox et al., 2005; Margulies et al., 2007; Di Martino et al., 2008; Roy et al., 2009; Smith et al., 2009; Yan et al., 2009b), trait variability and behavioral characteristics (Hampson et al., 2006; Fox et al., 2007;…”
The roles of the temporal lobe in creative insight: an integrated review (2017, background): “Additionally, significant surface functional connectivity has been observed among the amygdala, the PHG, STG, right MTG, bilateral IFG, ACC, fusiform gyri and cerebellum (Roy et al., 2009).”
Awake reactivation of emotional memory traces through hippocampal-neocortical interactions (2016, positive): “We averaged (de-noised and de-trended) BOLD-fMRI voxel time courses for four regions of interest in each hemisphere: amygdala and hippocampus (both anatomically defined), and the two sets of 500 category-specific responsive voxels in inferotemporal cortex (as explained in 2.11).”
Resting State fMRI: A Personal History (2012, background): “…we have investigated the RSFC by focusing on circuits which have been thoroughly studied in animals and for which human imaging meta-analyses have been conducted: the anterior cingulate cortex (ACC) (Di Martino et al., 2009), basal ganglia (Margulies et al., 2007), and amygdala (Roy et al., 2009).”
The Development of Human Amygdala Functional Connectivity at Rest from 4 to 23 Years: a cross-sectional study (2014, positive): “…differences in whole-brain functional coupling between anatomical subregions of LB, CM, and SF amygdala, in accord with preliminary imaging studies that distinguish mature functions and networks for these subregions in adult humans (Ball et al., 2007; Davis et al., 2010; Roy et al., 2009).”
Reliable Intrinsic Connectivity Networks: Test-Retest Evaluation Using ICA and Dual Regression Approach (2009, positive): “In addition to generating highly detailed maps of complex functional systems (Margulies et al., 2007; Zhang et al., 2008; Di Martino et al., 2008; Roy et al., 2009; Nioche et al., 2009), seed-based correlation analyses are commonly used to identify abnormalities in ICNs related to psychopathology (G”
Network centrality in the human functional connectome. (2012, background): “structural and functional connectivity do not show simple 1:1 correspondence (Vincent et al. 2007; Margulies et al. 2009; Roy et al. 2009).”