Literature DB >> 31567095

Utilizing High-Density Electroencephalography and Motion Capture Technology to Characterize Sensorimotor Integration While Performing Complex Actions.

Kevin A Mazurek, David Richardson, Nicholas Abraham, John J Foxe, Edward G Freedman.   

Abstract

Studies of sensorimotor integration often use sensory stimuli that require a simple motor response, such as a reach or a grasp. Recent advances in neural recording techniques, motion capture technologies, and time-synchronization methods enable studying sensorimotor integration using more complex sensory stimuli and performed actions. Here, we demonstrate that prehensile actions that require using complex sensory instructions for manipulating different objects can be characterized using high-density electroencephalography and motion capture systems. In 20 participants, we presented stimuli in different sensory modalities (visual, auditory) containing different contextual information about the object with which to interact. Neural signals recorded near motor cortex and posterior parietal cortex discharged based on both the instruction delivered and object manipulated. Additionally, kinematics of the wrist movements could be discriminated between participants. These findings demonstrate a proof-of-concept behavioral paradigm for studying sensorimotor integration of multidimensional sensory stimuli to perform complex movements. The designed framework will prove vital for studying neural control of movements in clinical populations in which sensorimotor integration is impaired due to information no longer being communicated correctly between brain regions (e.g. stroke). Such a framework is the first step towards developing a neural rehabilitative system for restoring function more effectively.

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Year:  2019        PMID: 31567095      PMCID: PMC7021210          DOI: 10.1109/TNSRE.2019.2941574

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  51 in total

Review 1.  A common reference frame for movement plans in the posterior parietal cortex.

Authors:  Yale E Cohen; Richard A Andersen
Journal:  Nat Rev Neurosci       Date:  2002-07       Impact factor: 34.870

Review 2.  Functional and effective connectivity: a review.

Authors:  Karl J Friston
Journal:  Brain Connect       Date:  2011

3.  Integration of target and effector information in the human brain during reach planning.

Authors:  S M Beurze; F P de Lange; I Toni; W P Medendorp
Journal:  J Neurophysiol       Date:  2006-08-23       Impact factor: 2.714

4.  Intentional signal in prefrontal cortex generalizes across different sensory modalities.

Authors:  Kyuwan Choi; Elizabeth B Torres
Journal:  J Neurophysiol       Date:  2013-11-20       Impact factor: 2.714

5.  ICLabel: An automated electroencephalographic independent component classifier, dataset, and website.

Authors:  Luca Pion-Tonachini; Ken Kreutz-Delgado; Scott Makeig
Journal:  Neuroimage       Date:  2019-05-16       Impact factor: 6.556

6.  Coding of intention in the posterior parietal cortex.

Authors:  L H Snyder; A P Batista; R A Andersen
Journal:  Nature       Date:  1997-03-13       Impact factor: 49.962

7.  Decoding 3-D reach and grasp kinematics from high-frequency local field potentials in primate primary motor cortex.

Authors:  Jun Zhuang; Wilson Truccolo; Carlos Vargas-Irwin; John P Donoghue
Journal:  IEEE Trans Biomed Eng       Date:  2010-04-15       Impact factor: 4.538

8.  Sensorimotor integration in focal task-specific hand dystonia: a magnetoencephalographic assessment.

Authors:  F Tecchio; J M Melgari; F Zappasodi; C Porcaro; D Milazzo; E Cassetta; P M Rossini
Journal:  Neuroscience       Date:  2008-03-28       Impact factor: 3.590

9.  A neurological dissociation between perceiving objects and grasping them.

Authors:  M A Goodale; A D Milner; L S Jakobson; D P Carey
Journal:  Nature       Date:  1991-01-10       Impact factor: 49.962

10.  Mobile Brain/Body Imaging (MoBI) of Physical Interaction with Dynamically Moving Objects.

Authors:  Evelyn Jungnickel; Klaus Gramann
Journal:  Front Hum Neurosci       Date:  2016-06-27       Impact factor: 3.169

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  2 in total

1.  Investigating How Auditory and Visual Stimuli Promote Recovery After Stress With Potential Applications for Workplace Stress and Burnout: Protocol for a Randomized Trial.

Authors:  Kunjoon Byun; Sara Aristizabal; Yihan Wu; Aidan F Mullan; Jeremiah D Carlin; Colin P West; Kevin A Mazurek
Journal:  Front Psychol       Date:  2022-06-02

2.  Using the MoBI motion capture system to rapidly and accurately localize EEG electrodes in anatomic space.

Authors:  Kevin A Mazurek; Eleni Patelaki; John J Foxe; Edward G Freedman
Journal:  Eur J Neurosci       Date:  2021-02-21       Impact factor: 3.698

  2 in total

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