Literature DB >> 25462801

Subspecialization in the human posterior medial cortex.

Danilo Bzdok1, Adrian Heeger2, Robert Langner1, Angela R Laird3, Peter T Fox4, Nicola Palomero-Gallagher5, Brent A Vogt6, Karl Zilles7, Simon B Eickhoff8.   

Abstract

The posterior medial cortex (PMC) is particularly poorly understood. Its neural activity changes have been related to highly disparate mental processes. We therefore investigated PMC properties with a data-driven exploratory approach. First, we subdivided the PMC by whole-brain coactivation profiles. Second, functional connectivity of the ensuing PMC regions was compared by task-constrained meta-analytic coactivation mapping (MACM) and task-unconstrained resting-state correlations (RSFC). Third, PMC regions were functionally described by forward/reverse functional inference. A precuneal cluster was mostly connected to the intraparietal sulcus, frontal eye fields, and right temporo-parietal junction; associated with attention and motor tasks. A ventral posterior cingulate cortex (PCC) cluster was mostly connected to the ventromedial prefrontal cortex and middle left inferior parietal cortex (IPC); associated with facial appraisal and language tasks. A dorsal PCC cluster was mostly connected to the dorsomedial prefrontal cortex, anterior/posterior IPC, posterior midcingulate cortex, and left dorsolateral prefrontal cortex; associated with delay discounting. A cluster in the retrosplenial cortex was mostly connected to the anterior thalamus and hippocampus. Furthermore, all PMC clusters were congruently coupled with the default mode network according to task-unconstrained but not task-constrained connectivity. We thus identified distinct regions in the PMC and characterized their neural networks and functional implications.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Connectivity-based parcellation; Default mode network; Functional decoding; Parietal lobe; Posterior cingulate cortex; Retrosplenial cortex; Statistical learning

Mesh:

Year:  2014        PMID: 25462801      PMCID: PMC4780672          DOI: 10.1016/j.neuroimage.2014.11.009

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  167 in total

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