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The Influence of Dopaminergic Striatal Innervation on Upper Limb Locomotor Synergies

Overview of attention for article published in PLOS ONE, December 2012
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Title
The Influence of Dopaminergic Striatal Innervation on Upper Limb Locomotor Synergies
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051464
Pubmed ID
Authors

Ioannis U. Isaias, Jens Volkmann, Alberto Marzegan, Giorgio Marotta, Paolo Cavallari, Gianni Pezzoli

Abstract

To determine the role of striatal dopaminergic innervation on upper limb synergies during walking, we measured arm kinematics in 13 subjects with Parkinson disease. Patients were recruited according to several inclusion criteria to represent the best possible in vivo model of dopaminergic denervation. Of relevance, we included only subjects with normal spatio-temporal parameters of the stride and gait speed to avoid an impairment of upper limbs locomotor synergies as a consequence of gait impairment per se. Dopaminergic innervation of the striatum was measured by FP-CIT and SPECT. All patients showed a reduction of gait-associated arms movement. No linear correlation was found between arm ROM reduction and contralateral dopaminergic putaminal innervation loss. Still, a partition analysis revealed a 80% chance of reduced arm ROM when putaminal dopamine content loss was >47%. A significant correlation was described between the asymmetry indices of the swinging of the two arms and dopaminergic striatal innervation. When arm ROM was reduced, we found a positive correlation between upper-lower limb phase shift modulation (at different gait velocities) and striatal dopaminergic innervation. These findings are preliminary evidence that dopaminergic striatal tone plays a modulatory role in upper-limb locomotor synergies and upper-lower limb coupling while walking at different velocities.

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Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
United States 1 1%
Luxembourg 1 1%
Unknown 64 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 15%
Unspecified 9 13%
Student > Master 8 12%
Student > Ph. D. Student 6 9%
Professor 4 6%
Other 13 19%
Unknown 18 26%
Readers by discipline Count As %
Medicine and Dentistry 16 24%
Unspecified 9 13%
Nursing and Health Professions 7 10%
Neuroscience 6 9%
Engineering 3 4%
Other 5 7%
Unknown 22 32%