Cited by 749Functional Brain Connectivity StudiesMemory and Neural MechanismsNeural and Behavioral Psychology Studies

Functional connectivity of the human amygdala using resting state fMRI

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Roy, Amy Krain, Shehzad, Zarrar, Margulies, Daniel S., Kelly, A.M. Clare, Uddin, Lucina Q., Gotimer, Kristin, Biswal, Bharat B., Castellanos, F. Xavier +1 more·2009·NeuroImage

Abstract

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.

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Crossref · 10.1016/j.neuroimage.2008.11.030

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  • Negative functional connectivity, reflecting network segregation and specialization, has been found between amygdala sub-regions and more dorsal and posterior brain regions in adults and in a cross-sectional sample from childhood to early adulthood.

    “Negative functional connectivity, or segregation and specialization of networks (Rubinov and Sporns, 2010), has been observed between amygdalar sub-regions and more dorsal and posterior brain regions in both adults (Roy et al., 2009) and in a cross-sectional sample spanning childhood and early adulthood (Gabard-Durnam et al., 2014).”
  • Earlier studies have reported that connectivity between the medial prefrontal cortex and all amygdala sub-regions increases with age.

    “Previous research has shown coupling of mPFC and all amygdala sub-regions with increasing age (Roy et al., 2009, Qin et al., 2012, Gabard-Durnam et al., 2014),”
  • The observed pattern of decreased parieto-occipital connectivity and increased medial prefrontal connectivity matches adult resting-state functional connectivity patterns of amygdala sub-regions.

    “which corresponds with adult RSFC patterns of amygdala sub-regions (Roy et al., 2009, Qin et al., 2012, Gabard-Durnam et al., 2014), albeit with varying effects by sex.”
  • Prior research has identified distinct resting-state functional connectivity patterns across amygdalar nuclei, with age-related positive connectivity to ventromedial prefrontal, temporal, and subcortical regions and negative connectivity to parietal and occipital cortices.

    “Previous work has found distinct functional connectivity patterns, as measured with RSFC, across amygdalar nuclei (Roy et al., 2009, Li et al., 2012, Qin et al., 2012, Gabard-Durnam et al., 2014), specifically different patterns of age-dependent positive connectivity between amygdalar nuclei and ventromedial PFC (vmPFC), temporal, and subcortical regions, as well as negative connectivity with pari”
  • Resting-state functional connectivity analyses did not use left or right centromedial amygdala seed regions, limiting direct comparison with existing amygdala sub-region studies.

    “As such, RSFC analyses were not conducted with either left or right CMA seed regions, which limits direct comparisons with existing amygdala sub-region RSFC studies (Roy et al., 2009, Li et al., 2012, Qin et al., 2012, Gabard-Durnam et al., 2014).”

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Authors
Roy, A. K., Shehzad, Z., Margulies, D. S., Kelly, A. M. C., Uddin, L. Q., Gotimer, K., Biswal, B. B., Castellanos, F. X., & Milham, M. P.
Affiliations
  • New York University (US)
  • NYU Langone Health (US)
  • Humboldt-Universität zu Berlin (DE)
  • Rutgers, The State University of New Jersey (US)
  • Nathan Kline Institute for Psychiatric Research (US)
Corresponding author
Roy, Amy Krain
Venue
NeuroImage
Publisher
Elsevier BV
Published
2009-04
Volume
45
Issue
2
Pages
614-626
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2106089606
Cited by
749
References
75
Citations by year
2026: 15 · 2025: 27 · 2024: 27 · 2023: 36 · 2022: 49 · 2021: 46 · 2020: 48 · 2019: 43 · 2018: 53 · 2017: 56 · 2016: 74 · 2015: 53 · 2014: 52 · 2013: 53 · 2012: 43
FWCI
12.58
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • Max Planck Digital Library (submittedVersion)
  • Fordham Research Commons (Fordham University) (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
Funders
National Institute of Mental Health (K23MH074821)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
amygdala, functional connectivity, resting state, centromedial amygdala, superficial amygdala, emotional processing, limbic system, striatum, temporal lobe, frontal lobe
MeSH terms
Adult, Amygdala, Brain Mapping, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Nerve Net, Neural Pathways, Rest

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