Effects of visual and auditory feedback on sensorimotor circuits in the basal ganglia

Janey Prodoehl, Hong Yu, Pooja Wasson, Daniel M. Corcos, David E. Vaillancourt

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Previous work using visual feedback has identified two distinct sensorimotor circuits in the basal ganglia (BG): one that scaled with the duration of force and one that scaled with the rate of change of force. The present study compared functional MRI signal changes in the BG during a grip force task using either visual or auditory feedback to determine whether the BG nuclei process auditory and visual feedback similarly. We confirmed the same two sensorimotor circuits in the BG. Activation in the striatum and external globus pallidus (GPe) scaled linearly with the duration of force under visual and auditory feedback conditions, with similar slopes and intercepts across feedback type. The pattern of signal change for the internal globus pallidus (GPi) and subthalamic nucleus (STN) was nonlinear and parameters of the exponential function were altered by feedback type. Specifically, GPi and STN activation decreased exponentially with the rate of change of force. The rate constant and asymptote of the exponential functions for GPi and STN were greater during auditory than visual feedback. In a comparison of the BOLD signal between BG regions, GPe had the highest percentage of variance accounted for and this effect was preserved for both feedback types. These new findings suggest that neuronal activity of specific BG nuclei is affected by whether the feedback is derived from visual or auditory inputs. Also, the data are consistent with the hypothesis that the GPe has a high level of information convergence from other BG nuclei, which is preserved across different sensory feedback modalities.

Original languageEnglish (US)
Pages (from-to)3042-3051
Number of pages10
JournalJournal of neurophysiology
Volume99
Issue number6
DOIs
StatePublished - Jun 2008

ASJC Scopus subject areas

  • Neuroscience(all)
  • Physiology

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