Literature DB >> 28213119

The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization.

Sarah Genon1, Andrew Reid2, Hai Li3, Lingzhong Fan3, Veronika I Müller4, Edna C Cieslik4, Felix Hoffstaedter5, Robert Langner4, Christian Grefkes6, Angela R Laird7, Peter T Fox8, Tianzi Jiang3, Katrin Amunts9, Simon B Eickhoff4.   

Abstract

Despite the common conception of the dorsal premotor cortex (PMd) as a single brain region, its diverse connectivity profiles and behavioral heterogeneity argue for a differentiated organization of the PMd. A previous study revealed that the right PMd is characterized by a rostro-caudal and a ventro-dorsal distinction dividing it into five subregions: rostral, central, caudal, ventral and dorsal. The present study assessed whether a similar organization is present in the left hemisphere, by capitalizing on a multimodal data-driven approach combining connectivity-based parcellation (CBP) based on meta-analytic modeling, resting-state functional connectivity, and probabilistic diffusion tractography. The resulting PMd modules were then characterized based on multimodal functional connectivity and a quantitative analysis of associated behavioral functions. Analyzing the clusters consistent across all modalities revealed an organization of the left PMd that mirrored its right counterpart to a large degree. Again, caudal, central and rostral modules reflected a cognitive-motor gradient and a premotor eye-field was found in the ventral part of the left PMd. In addition, a distinct module linked to abstract cognitive functions was observed in the rostro-ventral left PMd across all CBP modalities, implying greater differentiation of higher cognitive functions for the left than the right PMd.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Precentral gyrus; eye-field; fMRI; meta-analytic connectivity modeling; probabilistic diffusion tractography

Mesh:

Year:  2017        PMID: 28213119      PMCID: PMC5555826          DOI: 10.1016/j.neuroimage.2017.02.034

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   7.400


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