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Neuroimage. 2015 Dec;123:114-28. doi: 10.1016/j.neuroimage.2015.08.024. Epub 2015 Aug 15.

Multimodal connectivity of motor learning-related dorsal premotor cortex.

Author information

  • 1Department of Physical Medicine and Rehabilitation, Johns Hopkins University, USA.
  • 2Neuroimaging Research Branch, National Institutes of Drug Abuse, Baltimore, USA.
  • 3Institute for Neuroscience and Medicine (INM-1), Research Center Jülich, Germany; Dept. of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University Hospital, Germany.
  • 4Institute for Neuroscience and Medicine (INM-1), Research Center Jülich, Germany; Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Germany.
  • 5University of Texas, USA.
  • 6Institute for Neuroscience and Medicine (INM-1), Research Center Jülich, Germany; Institute for Clinical Neuroscience and Medical Psychology, Heinrich-Heine-Universität, Germany. Electronic address: s.eickhoff@fz-juelich.de.

Abstract

The dorsal premotor cortex (dPMC) is a key region for motor learning and sensorimotor integration, yet we have limited understanding of its functional interactions with other regions. Previous work has started to examine functional connectivity in several brain areas using resting state functional connectivity (RSFC) and meta-analytical connectivity modelling (MACM). More recently, structural covariance (SC) has been proposed as a technique that may also allow delineation of functional connectivity. Here, we applied these three approaches to provide a comprehensive characterization of functional connectivity with a seed in the left dPMC that a previous meta-analysis of functional neuroimaging studies has identified as playing a key role in motor learning. Using data from two sources (the Rockland sample, containing resting state data and anatomical scans from 132 participants, and the BrainMap database, which contains peak activation foci from over 10,000 experiments), we conducted independent whole-brain functional connectivity mapping analyses of a dPMC seed. RSFC and MACM revealed similar connectivity maps spanning prefrontal, premotor, and parietal regions, while the SC map identified more widespread frontal regions. Analyses indicated a relatively consistent pattern of functional connectivity between RSFC and MACM that was distinct from that identified by SC. Notably, results indicate that the seed is functionally connected to areas involved in visuomotor control and executive functions, suggesting that the dPMC acts as an interface between motor control and cognition.

KEYWORDS:

Functional connectivity; Meta-analytic connectivity modeling; Motor learning; Resting state; Resting state functional connectivity; Structural covariance

PMID:
26282855
PMCID:
PMC4780681
DOI:
10.1016/j.neuroimage.2015.08.024
[PubMed - indexed for MEDLINE]
Free PMC Article
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