Literature DB >> 23001369

Electrocorticographic (ECoG) correlates of human arm movements.

Nicholas R Anderson1, Tim Blakely, Gerwin Schalk, Eric C Leuthardt, Daniel W Moran.   

Abstract

Invasive and non-invasive brain-computer interface (BCI) studies have long focused on the motor cortex for kinematic control of artificial devices. Most of these studies have used single-neuron recordings or electroencephalography (EEG). Electrocorticography (ECoG) is a relatively new recording modality in BCI research that has primarily been built on successes in EEG recordings. We built on prior experiments related to single-neuron recording and quantitatively compare the extent to which different brain regions reflect kinematic tuning parameters of hand speed, direction, and velocity in both a reaching and tracing task in humans. Hand and arm movement experiments using ECoG have shown positive results before, but the tasks were not designed to tease out which kinematics are encoded. In non-human primates, the relationships among these kinematics have been more carefully documented, and we sought to begin elucidating that relationship in humans using ECoG. The largest modulation in ECoG activity for direction, speed, and velocity representation was found in the primary motor cortex. We also found consistent cosine tuning across both tasks, to hand direction and velocity in the high gamma band (70-160 Hz). Thus, the results of this study clarify the neural substrates involved in encoding aspects of motor preparation and execution and confirm the important role of the motor cortex in BCI applications.

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Year:  2012        PMID: 23001369     DOI: 10.1007/s00221-012-3226-1

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  41 in total

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Review 2.  Brain-computer interfaces for communication and control.

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3.  Motor cortical representation of position and velocity during reaching.

Authors:  Wei Wang; Sherwin S Chan; Dustin A Heldman; Daniel W Moran
Journal:  J Neurophysiol       Date:  2007-03-28       Impact factor: 2.714

4.  Unique cortical physiology associated with ipsilateral hand movements and neuroprosthetic implications.

Authors:  Kimberly J Wisneski; Nicholas Anderson; Gerwin Schalk; Matt Smyth; Daniel Moran; Eric C Leuthardt
Journal:  Stroke       Date:  2008-10-16       Impact factor: 7.914

Review 5.  The emerging world of motor neuroprosthetics: a neurosurgical perspective.

Authors:  Eric C Leuthardt; Gerwin Schalk; Daniel Moran; Jeffrey G Ojemann
Journal:  Neurosurgery       Date:  2006-07       Impact factor: 4.654

6.  Spectral changes in cortical surface potentials during motor movement.

Authors:  Kai J Miller; Eric C Leuthardt; Gerwin Schalk; Rajesh P N Rao; Nicholas R Anderson; Daniel W Moran; John W Miller; Jeffrey G Ojemann
Journal:  J Neurosci       Date:  2007-02-28       Impact factor: 6.167

7.  Instant neural control of a movement signal.

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8.  Toward a high-throughput auditory P300-based brain-computer interface.

Authors:  D S Klobassa; T M Vaughan; P Brunner; N E Schwartz; J R Wolpaw; C Neuper; E W Sellers
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9.  A P300-based brain-computer interface for people with amyotrophic lateral sclerosis.

Authors:  F Nijboer; E W Sellers; J Mellinger; M A Jordan; T Matuz; A Furdea; S Halder; U Mochty; D J Krusienski; T M Vaughan; J R Wolpaw; N Birbaumer; A Kübler
Journal:  Clin Neurophysiol       Date:  2008-06-20       Impact factor: 3.708

10.  Emergence of a stable cortical map for neuroprosthetic control.

Authors:  Karunesh Ganguly; Jose M Carmena
Journal:  PLoS Biol       Date:  2009-07-21       Impact factor: 8.029

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  17 in total

1.  Decoding three-dimensional reaching movements using electrocorticographic signals in humans.

Authors:  David T Bundy; Mrinal Pahwa; Nicholas Szrama; Eric C Leuthardt
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2.  Real-time functional mapping: potential tool for improving language outcome in pediatric epilepsy surgery.

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3.  Motor cortical control of movement speed with implications for brain-machine interface control.

Authors:  Matthew D Golub; Byron M Yu; Andrew B Schwartz; Steven M Chase
Journal:  J Neurophysiol       Date:  2014-04-09       Impact factor: 2.714

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

Authors:  Po T Wang; Colin M McCrimmon; Christine E King; Susan J Shaw; David E Millett; Hui Gong; Luis A Chui; Charles Y Liu; Zoran Nenadic; An H Do
Journal:  Brain Struct Funct       Date:  2017-05-18       Impact factor: 3.270

5.  Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states.

Authors:  Arian Ashourvan; Preya Shah; Adam Pines; Shi Gu; Christopher W Lynn; Danielle S Bassett; Kathryn A Davis; Brian Litt
Journal:  Commun Biol       Date:  2021-02-16

6.  Decoding continuous limb movements from high-density epidural electrode arrays using custom spatial filters.

Authors:  A R Marathe; D M Taylor
Journal:  J Neural Eng       Date:  2013-04-23       Impact factor: 5.379

Review 7.  Cortical neuroprosthetics from a clinical perspective.

Authors:  Adelyn P Tsu; Mark J Burish; Jason GodLove; Karunesh Ganguly
Journal:  Neurobiol Dis       Date:  2015-08-05       Impact factor: 5.996

8.  Simultaneous neural control of simple reaching and grasping with the modular prosthetic limb using intracranial EEG.

Authors:  Matthew S Fifer; Guy Hotson; Brock A Wester; David P McMullen; Yujing Wang; Matthew S Johannes; Kapil D Katyal; John B Helder; Matthew P Para; R Jacob Vogelstein; William S Anderson; Nitish V Thakor; Nathan E Crone
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2013-10-24       Impact factor: 3.802

9.  The effects of spatial filtering and artifacts on electrocorticographic signals.

Authors:  Y Liu; W G Coon; A de Pesters; P Brunner; G Schalk
Journal:  J Neural Eng       Date:  2015-08-13       Impact factor: 5.379

10.  Multistep model for predicting upper-limb 3D isometric force application from pre-movement electrocorticographic features.

Authors:  Benjamin R Shuman; Bingni W Brunton; Katherine M Steele; Jared D Olson; Rajesh P N Rao; Jeffrey G Ojemann
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2016-08
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