Literature DB >> 11755092

Accessory hardware for neuromuscular measurements during functional MRI experiments.

Jing Z Liu1, Luduan Zhang, Bing Yao, Guang H Yue.   

Abstract

Functional magnetic resonance imaging (fMRI) is increasingly being used for human sensorimotor function research. Few studies, however, have been able to acquire peripheral neuromuscular data (e.g. joint force and electromyograms [EMG]) online with fMRI measurements. The lack of muscle output information hinders interpretation of fMRI data and prevents investigators from designing more sophisticated experiments. We developed a data-acquisition system that can record force and EMG data simultaneously with fMRI signals. This system included three major components: a hydraulic, pressure transducer-based force measurement device, a well-shielded EMG-recording apparatus, and a visual feedback setup. The three components were integrated with a laptop computer equipped with data acquisition hardware and software. System evaluation experiments demonstrated that no significant mutual interference occurred between the MRI environment and the force-EMG data-acquisition system, i.e. the system can record relatively noise-free force and EMG signals while maintaining the quality of fMRI data. The system has enabled us to study human motor control function involving motor tasks such as handgrip and finger pinch that require precision control of force and EMG. This accessory equipment can facilitate fMRI investigations of human sensorimotor function.

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Year:  2002        PMID: 11755092     DOI: 10.1007/bf02678592

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  21 in total

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Authors:  P A Bandettini; E C Wong; R S Hinks; R S Tikofsky; J S Hyde
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5.  Monitoring of task performance during functional magnetic resonance imaging of sensorimotor cortex at 1.5 T.

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Journal:  Magn Reson Imaging       Date:  1996       Impact factor: 2.546

6.  Quantitative comparison of functional magnetic resonance imaging with positron emission tomography using a force-related paradigm.

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Authors:  S G Kim; K Ugurbil
Journal:  J Neurosci Methods       Date:  1997-06-27       Impact factor: 2.390

8.  Force of voluntary exercise does not affect sensorimotor cortex activation as detected by functional MRI at 1.5 T.

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Journal:  NMR Biomed       Date:  1996-08       Impact factor: 4.044

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  8 in total

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4.  A dynamical model of muscle activation, fatigue, and recovery.

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5.  Shifting of activation center in the brain during muscle fatigue: an explanation of minimal central fatigue?

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7.  Assessing time-dependent association between scalp EEG and muscle activation: A functional random-effects model approach.

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8.  Nonlinear features of surface EEG showing systematic brain signal adaptations with muscle force and fatigue.

Authors:  Bing Yao; Jing Z Liu; Robert W Brown; Vinod Sahgal; Guang H Yue
Journal:  Brain Res       Date:  2009-03-28       Impact factor: 3.252

  8 in total

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