The generation of motor patterns is an important function of the central nervous system. Motor cortical areas, the basal ganglia, the cerebellum, and the brainstem all contribute, in a complex way, to the formation of the """"""""descending motor commands"""""""" that ultimately innervate motoneurons and excite muscle. The long-term objective of this project is to shed light on the process of motor pattern generation by describing the patterns of muscle activity that subserve natural arm movements in humans.
The specific aims for our renewed efforts on this project are:
AIM 1. To compare tonic patterns of muscle activity to phasic patterns of muscle activity.
AIM 2. To describe the overall pattern of muscle activity across many elbow and/or Shoulder muscles, and across many directions of movement in 3D space. Electromyograms (EMGs) will be recorded as human subjects either move to targets in three-dimensional space or hold the arm in static postures. Both single-unit and multi-unit records will be used to compare the tonic and phasic patterns associated with posture and movement, respectively. These data will be used to test the hypothesis that posture and movement are fundamentally distinct. A principal component analysis and a simulation will be used to further describe how the central nervous system controls the most robust features of the motor pattern. The experiments and analyses can potentially be repeated in clinical settings, since EMGs can easily be recorded from patients.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
2R01NS027484-04
Application #
3413763
Study Section
Orthopedics and Musculoskeletal Study Section (ORTH)
Project Start
1989-08-01
Project End
1995-07-31
Budget Start
1992-08-01
Budget End
1993-07-31
Support Year
4
Fiscal Year
1992
Total Cost
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Type
Schools of Medicine
DUNS #
168559177
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Winges, S A; Furuya, S (2015) Distinct digit kinematics by professional and amateur pianists. Neuroscience 284:643-52
Winges, S A (2015) Somatosensory feedback refines the perception of hand shape with respect to external constraints. Neuroscience 293:1-11
Flanders, Martha; Soechting, John F (2015) The vision of Hsiao on somatosensation. J Neurophysiol 113:684-7
Tramper, Julian J; Flanders, Martha (2013) Predictive mechanisms in the control of contour following. Exp Brain Res 227:535-46
Tramper, J J; Lamont, A; Flanders, M et al. (2013) Gaze is driven by an internal goal trajectory in a visuomotor task. Eur J Neurosci 37:1112-9
Winges, Sara A; Furuya, Shinichi; Faber, Nathaniel J et al. (2013) Patterns of muscle activity for digital coarticulation. J Neurophysiol 110:230-42
Pesyna, Colin; Pundi, Krishna; Flanders, Martha (2011) Coordination of hand shape. J Neurosci 31:3757-65
Furuya, Shinichi; Flanders, Martha; Soechting, John F (2011) Hand kinematics of piano playing. J Neurophysiol 106:2849-64
Flanders, Martha (2011) What is the biological basis of sensorimotor integration? Biol Cybern 104:1-8
Weiss, Erica J; Flanders, Martha (2011) Somatosensory comparison during haptic tracing. Cereb Cortex 21:425-34

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