Literature DB >> 10967361

Simultaneous measurement of human joint force, surface electromyograms, and functional MRI-measured brain activation.

J Z Liu1, T H Dai, T H Elster, V Sahgal, R W Brown, G H Yue.   

Abstract

Functional magnetic resonance imaging (fMRI) has been increasingly used in studying human brain function given its non-invasive feature and good spatial resolution. However, difficulties in acquiring data from peripheral (e.g. information from muscle) during fMRI studies of motor function hinder interpretation of fMRI data and designing more sophisticated investigations. Here we describe a system that was designed to concurrently measure handgrip force, surface electromyograms (EMG) of finger flexor and extensor muscles, and fMRI of human brain. The system included a pressure transducer built in a hydraulic environment, a heavily shielded EMG recording element, and a visual feedback structure for online monitoring of force and/or EMG signal, by the subject positioned in the scanner during an fMRI experiment. System evaluation and subsequent fMRI motor function studies have indicated that by using this system, high quality force and EMG signals can be recorded without sacrificing the quality of the fMRI data.

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Year:  2000        PMID: 10967361     DOI: 10.1016/s0165-0270(00)00252-1

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


  20 in total

1.  Accessory hardware for neuromuscular measurements during functional MRI experiments.

Authors:  Jing Z Liu; Luduan Zhang; Bing Yao; Guang H Yue
Journal:  MAGMA       Date:  2002-01       Impact factor: 2.310

2.  Intermittent visuomotor processing in the human cerebellum, parietal cortex, and premotor cortex.

Authors:  David E Vaillancourt; Mary A Mayka; Daniel M Corcos
Journal:  J Neurophysiol       Date:  2005-11-02       Impact factor: 2.714

3.  A method to capture six-degrees-of-freedom mechanical measurements of isometric shoulder and elbow torques during event-related fMRI.

Authors:  Daniel M Krainak; Todd B Parrish; Julius P A Dewald
Journal:  J Neurosci Methods       Date:  2006-12-28       Impact factor: 2.390

4.  fMRI analysis for motor paradigms using EMG-based designs: a validation study.

Authors:  Anne-Fleur van Rootselaar; Remco Renken; Bauke M de Jong; Johannes M Hoogduin; Marina A J Tijssen; Natasha M Maurits
Journal:  Hum Brain Mapp       Date:  2007-11       Impact factor: 5.038

5.  Role of the basal ganglia and frontal cortex in selecting and producing internally guided force pulses.

Authors:  David E Vaillancourt; Hong Yu; Mary A Mayka; Daniel M Corcos
Journal:  Neuroimage       Date:  2007-03-13       Impact factor: 6.556

6.  MR compatible force sensing system for real-time monitoring of wrist moments during fMRI testing.

Authors:  Joseph Hidler; Timea Hodics; Benjamin Xu; Bruce Dobkin; Leonardo G Cohen
Journal:  J Neurosci Methods       Date:  2006-02-21       Impact factor: 2.390

7.  Ranking and averaging independent component analysis by reproducibility (RAICAR).

Authors:  Zhi Yang; Stephen LaConte; Xuchu Weng; Xiaoping Hu
Journal:  Hum Brain Mapp       Date:  2008-06       Impact factor: 5.038

8.  Modulation of ventral striatal activity by cognitive effort.

Authors:  Ekaterina Dobryakova; Ryan K Jessup; Elizabeth Tricomi
Journal:  Neuroimage       Date:  2016-12-15       Impact factor: 6.556

9.  Strengthened functional connectivity in the brain during muscle fatigue.

Authors:  Zhiguo Jiang; Xiao-Feng Wang; Katarzyna Kisiel-Sajewicz; Jin H Yan; Guang H Yue
Journal:  Neuroimage       Date:  2011-12-17       Impact factor: 6.556

10.  Neural substrates of individual differences in human fear learning: evidence from concurrent fMRI, fear-potentiated startle, and US-expectancy data.

Authors:  Sonja van Well; Renée M Visser; H Steven Scholte; Merel Kindt
Journal:  Cogn Affect Behav Neurosci       Date:  2012-09       Impact factor: 3.282

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