Experimental Brain Research

, Volume 237, Issue 9, pp 2367–2385 | Cite as

Differential functional patterns of the human posterior cingulate cortex during activation and deactivation: a meta-analytic connectivity model

  • Jessica N. BuslerEmail author
  • Julio A. Yanes
  • Ryan T. Bird
  • Meredith A. Reid
  • Jennifer L. Robinson
Research Article


The posterior cingulate cortex (PCC) has been implicated in a host of cognitive and behavioral processes in addition to serving as a central hub in the default mode network (DMN). Moreover, the PCC has been shown to be involved in a range of psychiatric and neurological disorders. However, very little is known about the specific activated/deactivated functional profiles of the PCC. Here, we employed a dual analytic approach using robust quantitative meta-analytical connectivity modeling (MACM) and ultra-high field, high resolution resting state functional magnetic resonance imaging (rs-fMRI) to identify state-specific functional activity patterns of the human PCC. The MACM results provided evidence for regions of convergence for PCC co-activation and co-deactivation (i.e., left medial frontal gyrus, left amygdala, and left anterior cingulate) as well as regions of divergence specific to either PCC activation (i.e., bilateral inferior frontal gyri) or PCC deactivation (i.e., left parahippocampal gyrus). In addition, exploratory MACMs on dorsal and ventral subregions of the PCC revealed differential functional activity patterns such as greater co-activation of the right PCC and left inferior parietal lobule with the dorsal PCC and greater co-activation of right precuneus with the ventral PCC. Resting state connectivity analyses showed widespread connectivity similar to that of the PCC co-activation-based MACM, but also demonstrated additional regions of activity, including bilateral superior parietal regions and right superior temporal regions. These analyses highlight the diverse neurofunctional repertoire of the human PCC, provide additional insight into its dynamic functional activity patterns as it switches between activated and deactivated states, and elucidates the cognitive processes that may be implicated in clinical populations.


Brain Neuroimaging Magnetic resonance imaging Activation analysis Attention 



A Collaborative Use Agreement exists between JLR and the BrainMap® Database.

Compliance with ethical standards

Conflict of interest

All authors report having no financial, personal, or organizational conflict of interest with the work outlined in this manuscript.

Human and animal rights

The work outlined in this manuscript does not involve the use of human subjects as defined by the Institutional Review Board and no informed consent was necessary.

Supplementary material

221_2019_5595_MOESM1_ESM.jpg (115 kb)
Supplementary material 1 (JPEG 115 kb)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of PsychologyAuburn UniversityAuburnUSA
  2. 2.Auburn University Magnetic Resonance Imaging Research CenterAuburnUSA
  3. 3.Alabama Advanced Imaging ConsortiumAuburn UniversityAuburnUSA
  4. 4.Center for Neuroscience InitiativeAuburn UniversityAuburnUSA

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