Journal Article FZJ-2017-02052

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

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2018
Academic Press Orlando, Fla.

NeuroImage 170, 400-411 () [10.1016/j.neuroimage.2017.02.034]

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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.

Classification:

Contributing Institute(s):
  1. Strukturelle und funktionelle Organisation des Gehirns (INM-1)
  2. Kognitive Neurowissenschaften (INM-3)
  3. Gehirn & Verhalten (INM-7)
Research Program(s):
  1. 571 - Connectivity and Activity (POF3-571) (POF3-571)
  2. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)
  3. SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017)

Appears in the scientific report 2018
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Institute Collections > INM > INM-7
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 Record created 2017-03-07, last modified 2021-01-29