Literature DB >> 17498811

Design and validation of a MR-compatible pneumatic manipulandum.

Aaron J Suminski1, Janice L Zimbelman, Robert A Scheidt.   

Abstract

The combination of functional MR imaging and novel robotic tools may provide unique opportunities to probe the neural systems underlying motor control and learning. Here, we describe the design and validation of a MR-compatible, 1 degree-of-freedom pneumatic manipulandum along with experiments demonstrating its safety and efficacy. We first validated the robot's ability to apply computer-controlled loads about the wrist, demonstrating that it possesses sufficient bandwidth to simulate torsional spring-like loads during point-to-point flexion movements. Next, we verified the MR-compatibility of the device by imaging a head phantom during robot operation. We observed no systematic differences in two measures of MRI signal quality (signal/noise and field homogeneity) when the robot was introduced into the scanner environment. Likewise, measurements of joint angle and actuator pressure were not adversely affected by scanning. Finally, we verified device efficacy by scanning 20 healthy human subjects performing rapid wrist flexions against a wide range of spring-like loads. We observed a linear relationship between joint torque at peak movement extent and perturbation magnitude, thus demonstrating the robot's ability to simulate spring-like loads in situ. fMRI revealed task-related activation in regions known to contribute to the control of movement including the left primary sensorimotor cortex and right cerebellum.

Entities:  

Mesh:

Year:  2007        PMID: 17498811      PMCID: PMC2040106          DOI: 10.1016/j.jneumeth.2007.03.014

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  19 in total

1.  Adaptation to destabilizing dynamics by means of muscle cocontraction.

Authors:  Theodore E Milner
Journal:  Exp Brain Res       Date:  2002-02-09       Impact factor: 1.972

2.  Cerebral activation during a simple force production task: changes in the time course of the haemodynamic response.

Authors:  K K Peck; A Sunderland; A M Peters; S Butterworth; P Clark; P A Gowland
Journal:  Neuroreport       Date:  2001-09-17       Impact factor: 1.837

3.  Feedforward and feedback processes in motor control.

Authors:  R D Seidler; D C Noll; G Thiers
Journal:  Neuroimage       Date:  2004-08       Impact factor: 6.556

4.  fMRI-Compatible Electromagnetic Haptic Interface.

Authors:  R Riener; T Villgrattner; R Kleiser; T Nef; S Kollias
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2005

Review 5.  The role of magnetic susceptibility in magnetic resonance imaging: MRI magnetic compatibility of the first and second kinds.

Authors:  J F Schenck
Journal:  Med Phys       Date:  1996-06       Impact factor: 4.071

6.  Correlation of neural discharge with pattern and force of muscular activity, joint position, and direction of intended next movement in motor cortex and cerebellum.

Authors:  W T Thach
Journal:  J Neurophysiol       Date:  1978-05       Impact factor: 2.714

7.  Human cerebellar activity reflecting an acquired internal model of a new tool.

Authors:  H Imamizu; S Miyauchi; T Tamada; Y Sasaki; R Takino; B Pütz; T Yoshioka; M Kawato
Journal:  Nature       Date:  2000-01-13       Impact factor: 49.962

8.  Relation of pyramidal tract activity to force exerted during voluntary movement.

Authors:  E V Evarts
Journal:  J Neurophysiol       Date:  1968-01       Impact factor: 2.714

9.  The assessment and analysis of handedness: the Edinburgh inventory.

Authors:  R C Oldfield
Journal:  Neuropsychologia       Date:  1971-03       Impact factor: 3.139

10.  On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex.

Authors:  A P Georgopoulos; J F Kalaska; R Caminiti; J T Massey
Journal:  J Neurosci       Date:  1982-11       Impact factor: 6.167

View more
  6 in total

1.  fMRI assessment of upper extremity related brain activation with an MRI-compatible manipulandum.

Authors:  Ningbo Yu; Natalia Estévez; Marie-Claude Hepp-Reymond; Spyros S Kollias; Robert Riener
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-08-10       Impact factor: 2.924

2.  Functional near-infrared spectroscopy maps cortical plasticity underlying altered motor performance induced by transcranial direct current stimulation.

Authors:  Bilal Khan; Timea Hodics; Nathan Hervey; George Kondraske; Ann M Stowe; George Alexandrakis
Journal:  J Biomed Opt       Date:  2013-11       Impact factor: 3.170

3.  Remembering forward: neural correlates of memory and prediction in human motor adaptation.

Authors:  Robert A Scheidt; Janice L Zimbelman; Nicole M G Salowitz; Aaron J Suminski; Kristine M Mosier; James Houk; Lucia Simo
Journal:  Neuroimage       Date:  2011-08-04       Impact factor: 6.556

4.  Neural Correlates of Multisensory Integration for Feedback Stabilization of the Wrist.

Authors:  Aaron J Suminski; Raymond C Doudlah; Robert A Scheidt
Journal:  Front Integr Neurosci       Date:  2022-05-06

5.  An MR safe algometer to study phantom and residual limb pain.

Authors:  Benedict Hui; Daren Hughes; Hong Wu; Omar Bhatti; Shi Zhao; Michelle Johnson
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

Review 6.  Sensorimotor Learning: Neurocognitive Mechanisms and Individual Differences.

Authors:  R D Seidler; R G Carson
Journal:  J Neuroeng Rehabil       Date:  2017-07-13       Impact factor: 4.262

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.