Literature DB >> 28523425

Characterization of electrocorticogram high-gamma signal in response to varying upper extremity movement velocity.

Po T Wang1, Colin M McCrimmon1, Christine E King1,2, Susan J Shaw3,4,5, David E Millett3,5,6, Hui Gong3,5, Luis A Chui7, Charles Y Liu5,8,9, Zoran Nenadic10,11, An H Do12.   

Abstract

The mechanism by which the human primary motor cortex (M1) encodes upper extremity movement kinematics is not fully understood. For example, human electrocorticogram (ECoG) signals have been shown to modulate with upper extremity movements; however, this relationship has not been explicitly characterized. To address this issue, we recorded high-density ECoG signals from patients undergoing epilepsy surgery evaluation as they performed elementary upper extremity movements while systematically varying movement speed and duration. Specifically, subjects performed intermittent pincer grasp/release, elbow flexion/extension, and shoulder flexion/extension at slow, moderate, and fast speeds. In all movements, bursts of power in the high-[Formula: see text] band (80-160 Hz) were observed in M1. In addition, the amplitude of these power bursts and the area of M1 with elevated high-[Formula: see text] activity were directly proportional to the movement speed. Likewise, the duration of elevated high-[Formula: see text] activity increased with movement duration. Based on linear regression, M1 high-[Formula: see text] power amplitude and duration covaried with movement speed and duration, respectively, with an average [Formula: see text] of [Formula: see text] and [Formula: see text]. These findings indicate that the encoding of upper extremity movement speed by M1 high-[Formula: see text] activity is primarily linear. Also, the fact that this activity remained elevated throughout a movement suggests that M1 does not merely generate transient instructions for a specific movement duration, but instead is responsible for the entirety of the movement. Finally, the spatial distribution of high-[Formula: see text] activity suggests the presence of a recruitment phenomenon in which higher speeds or increased muscle activity involve activation of larger M1 areas.

Entities:  

Keywords:  Electrocorticography; Kinematic; Motor cortex; Movement duration; Movement speed

Mesh:

Year:  2017        PMID: 28523425      PMCID: PMC6774632          DOI: 10.1007/s00429-017-1429-8

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.270


  27 in total

1.  The effect of finger-movement speed of the dominant and the subdominant hand on cerebellar activation: A functional magnetic resonance imaging study.

Authors:  L Jäncke; K Specht; S Mirzazade; M Peters
Journal:  Neuroimage       Date:  1999-05       Impact factor: 6.556

2.  A control algorithm for autonomous optimization of extracellular recordings.

Authors:  Zoran Nenadic; Joel W Burdick
Journal:  IEEE Trans Biomed Eng       Date:  2006-05       Impact factor: 4.538

3.  An fMRI study of the human cortical motor system response to increasing functional demands.

Authors:  B E Wexler; R K Fulbright; C M Lacadie; P Skudlarski; M B Kelz; R T Constable; J C Gore
Journal:  Magn Reson Imaging       Date:  1997       Impact factor: 2.546

4.  Neural pattern similarity between contra- and ipsilateral movements in high-frequency band of human electrocorticograms.

Authors:  Yusuke Fujiwara; Riki Matsumoto; Takuro Nakae; Kiyohide Usami; Masao Matsuhashi; Takayuki Kikuchi; Kazumichi Yoshida; Takeharu Kunieda; Susumu Miyamoto; Tatsuya Mima; Akio Ikeda; Rieko Osu
Journal:  Neuroimage       Date:  2016-11-24       Impact factor: 6.556

5.  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

6.  Functional classes of primate corticomotoneuronal cells and their relation to active force.

Authors:  P D Cheney; E E Fetz
Journal:  J Neurophysiol       Date:  1980-10       Impact factor: 2.714

7.  Electrocorticogram encoding of upper extremity movement duration.

Authors:  Po T Wang; Christine E King; Colin M McCrimmon; Susan J Shaw; David E Millett; Charles Y Liu; Luis A Chui; Zoran Nenadic; An H Do
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

8.  Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. II. Event-related synchronization in the gamma band.

Authors:  N E Crone; D L Miglioretti; B Gordon; R P Lesser
Journal:  Brain       Date:  1998-12       Impact factor: 13.501

9.  Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. I. Alpha and beta event-related desynchronization.

Authors:  N E Crone; D L Miglioretti; B Gordon; J M Sieracki; M T Wilson; S Uematsu; R P Lesser
Journal:  Brain       Date:  1998-12       Impact factor: 13.501

10.  Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model.

Authors:  Jiří Hammer; Tobias Pistohl; Jörg Fischer; Pavel Kršek; Martin Tomášek; Petr Marusič; Andreas Schulze-Bonhage; Ad Aertsen; Tonio Ball
Journal:  Cereb Cortex       Date:  2016-03-16       Impact factor: 5.357

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1.  Decoding Native Cortical Representations for Flexion and Extension at Upper Limb Joints Using Electrocorticography.

Authors:  Tessy M Thomas; Daniel N Candrea; Matthew S Fifer; David P McMullen; William S Anderson; Nitish V Thakor; Nathan E Crone
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-01-07       Impact factor: 3.802

2.  Changing Artificial Playback Speed and Real Movement Velocity Do Not Differentially Influence the Excitability of Primary Motor Cortex during Observation of a Repetitive Finger Movement.

Authors:  Takefumi Moriuchi; Daiki Matsuda; Jirou Nakamura; Takashi Matsuo; Akira Nakashima; Wataru Mitsunaga; Takashi Hasegawa; Yuta Ikio; Masahiko Koyanagi; Toshio Higashi
Journal:  Front Hum Neurosci       Date:  2017-11-13       Impact factor: 3.169

3.  Refinement of High-Gamma EEG Features From TBI Patients With Hemicraniectomy Using an ICA Informed by Simulated Myoelectric Artifacts.

Authors:  Yongcheng Li; Po T Wang; Mukta P Vaidya; Robert D Flint; Charles Y Liu; Marc W Slutzky; An H Do
Journal:  Front Neurosci       Date:  2020-11-24       Impact factor: 4.677

4.  Modulation of Gamma Spectral Amplitude and Connectivity During Reaching Predicts Peak Velocity and Movement Duration.

Authors:  Elisa Tatti; Francesca Ferraioli; Alberto Cacciola; Cameron Chan; Angelo Quartarone; Maria Felice Ghilardi
Journal:  Front Neurosci       Date:  2022-02-24       Impact factor: 4.677

5.  A benchtop system to assess the feasibility of a fully independent and implantable brain-machine interface.

Authors:  Po T Wang; Everardo Camacho; Ming Wang; Yongcheng Li; Susan J Shaw; Michelle Armacost; Hui Gong; Daniel Kramer; Brian Lee; Richard A Andersen; Charles Y Liu; Payam Heydari; Zoran Nenadic; An H Do
Journal:  J Neural Eng       Date:  2019-11-12       Impact factor: 5.379

6.  Spatial-Temporal Dynamics of the Sensorimotor Cortex: Sustained and Transient Activity.

Authors:  E Salari; Z V Freudenburg; M J Vansteensel; N F Ramsey
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-05       Impact factor: 3.802

  6 in total

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