Literature DB >> 16792288

Local field potential spectral tuning in motor cortex during reaching.

Dustin A Heldman1, Wei Wang, Sherwin S Chan, Daniel W Moran.   

Abstract

In this paper, intracortical local field potentials (LFPs) and single units were recorded from the motor cortices of monkeys (Macaca fascicularis) while they preformed a standard three-dimensional (3-D) center-out reaching task. During the center-out task, the subjects held their hands at the location of a central target and then reached to one of eight peripheral targets forming the corners of a virtual cube. The spectral amplitudes of the recorded LFPs were calculated, with the high-frequency LFP (HF-LFP) defined as the average spectral amplitude change from baseline from 60 to 200 Hz. A 3-D linear regression across the eight center-out targets revealed that approximately 6% of the beta LFPs (18-26 Hz) and 18% of the HF-LFPs were tuned for velocity (p-value < 0.05), while 10% of the beta LFPs and 15% of the HF-LFPs were tuned for position. These results suggest that a multidegree-of-freedom brain-machine interface is possible using high-frequency LFP recordings in motor cortex.

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Year:  2006        PMID: 16792288     DOI: 10.1109/TNSRE.2006.875549

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


  40 in total

1.  Local field potentials allow accurate decoding of muscle activity.

Authors:  Robert D Flint; Christian Ethier; Emily R Oby; Lee E Miller; Marc W Slutzky
Journal:  J Neurophysiol       Date:  2012-04-11       Impact factor: 2.714

2.  Decoding and cortical source localization for intended movement direction with MEG.

Authors:  Wei Wang; Gustavo P Sudre; Yang Xu; Robert E Kass; Jennifer L Collinger; Alan D Degenhart; Anto I Bagic; Douglas J Weber
Journal:  J Neurophysiol       Date:  2010-08-25       Impact factor: 2.714

3.  Area- and band-specific representations of hand movements by local field potentials in caudal cingulate motor area and supplementary motor area of monkeys.

Authors:  Osamu Yokoyama; Yoshihisa Nakayama; Eiji Hoshi
Journal:  J Neurophysiol       Date:  2016-01-20       Impact factor: 2.714

4.  Characterization of the effects of the human dura on macro- and micro-electrocorticographic recordings.

Authors:  David T Bundy; Erik Zellmer; Charles M Gaona; Mohit Sharma; Nicholas Szrama; Carl Hacker; Zachary V Freudenburg; Amy Daitch; Daniel W Moran; Eric C Leuthardt
Journal:  J Neural Eng       Date:  2014-02       Impact factor: 5.379

Review 5.  Evolution of brain-computer interfaces: going beyond classic motor physiology.

Authors:  Eric C Leuthardt; Gerwin Schalk; Jarod Roland; Adam Rouse; Daniel W Moran
Journal:  Neurosurg Focus       Date:  2009-07       Impact factor: 4.047

6.  Effects of visual stimulation on LFPs, spikes, and LFP-spike relations in PRR.

Authors:  Eun Jung Hwang; Richard A Andersen
Journal:  J Neurophysiol       Date:  2011-02-09       Impact factor: 2.714

Review 7.  Brain-computer interfaces using sensorimotor rhythms: current state and future perspectives.

Authors:  Han Yuan; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2014-05       Impact factor: 4.538

8.  Brain control of movement execution onset using local field potentials in posterior parietal cortex.

Authors:  Eun Jung Hwang; Richard A Andersen
Journal:  J Neurosci       Date:  2009-11-11       Impact factor: 6.167

Review 9.  Neural interface technology for rehabilitation: exploiting and promoting neuroplasticity.

Authors:  Wei Wang; Jennifer L Collinger; Monica A Perez; Elizabeth C Tyler-Kabara; Leonardo G Cohen; Niels Birbaumer; Steven W Brose; Andrew B Schwartz; Michael L Boninger; Douglas J Weber
Journal:  Phys Med Rehabil Clin N Am       Date:  2010-02       Impact factor: 1.784

10.  Characterization of neural activity recorded from the descending tracts of the rat spinal cord.

Authors:  Abhishek Prasad; Mesut Sahin
Journal:  Front Neurosci       Date:  2010-06-02       Impact factor: 4.677

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