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Reduced functional connectivity within the primary motor cortex of patients with brachial plexus injury

Overview of attention for article published in NeuroImage: Clinical, July 2016
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Title
Reduced functional connectivity within the primary motor cortex of patients with brachial plexus injury
Published in
NeuroImage: Clinical, July 2016
DOI 10.1016/j.nicl.2016.07.008
Pubmed ID
Authors

D. Fraiman, M.F. Miranda, F. Erthal, P.F. Buur, M. Elschot, L. Souza, S.A.R.B. Rombouts, C.A. Schimmelpenninck, D.G. Norris, M.J.A. Malessy, A. Galves, C.D. Vargas

Abstract

This study aims at the effects of traumatic brachial plexus lesion with root avulsions (BPA) upon the organization of the primary motor cortex (M1). Nine right-handed patients with a right BPA in whom an intercostal to musculocutaneous (ICN-MC) nerve transfer was performed had post-operative resting state fMRI scanning. The analysis of empirical functional correlations between neighboring voxels revealed faster correlation decay as a function of distance in the M1 region corresponding to the arm in BPA patients as compared to the control group. No differences between the two groups were found in the face area. We also investigated whether such larger decay in patients could be attributed to a gray matter diminution in M1. Structural imaging analysis showed no difference in gray matter density between groups. Our findings suggest that the faster decay in neighboring functional correlations without significant gray matter diminution in BPA patients could be related to a reduced activity in intrinsic horizontal connections in M1 responsible for upper limb motor synergies.

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Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 13%
Researcher 5 13%
Other 4 10%
Student > Doctoral Student 3 8%
Professor 3 8%
Other 8 20%
Unknown 12 30%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Neuroscience 6 15%
Computer Science 2 5%
Agricultural and Biological Sciences 2 5%
Sports and Recreations 2 5%
Other 3 8%
Unknown 14 35%