Literature DB >> 19906983

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

Eun Jung Hwang1, Richard A Andersen.   

Abstract

The precise control of movement execution onset is essential for safe and autonomous cortical motor prosthetics. A recent study from the parietal reach region (PRR) suggested that the local field potentials (LFPs) in this area might be useful for decoding execution time information because of the striking difference in the LFP spectrum between the plan and execution states (Scherberger et al., 2005). More specifically, the LFP power in the 0-10 Hz band sharply rises while the power in the 20-40 Hz band falls as the state transitions from plan to execution. However, a change of visual stimulus immediately preceded reach onset, raising the possibility that the observed spectral change reflected the visual event instead of the reach onset. Here, we tested this possibility and found that the LFP spectrum change was still time locked to the movement onset in the absence of a visual event in self-paced reaches. Furthermore, we successfully trained the macaque subjects to use the LFP spectrum change as a "go" signal in a closed-loop brain-control task in which the animals only modulated the LFP and did not execute a reach. The execution onset was signaled by the change in the LFP spectrum while the target position of the cursor was controlled by the spike firing rates recorded from the same site. The results corroborate that the LFP spectrum change in PRR is a robust indicator for the movement onset and can be used for control of execution onset in a cortical prosthesis.

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Year:  2009        PMID: 19906983      PMCID: PMC2805702          DOI: 10.1523/JNEUROSCI.2081-09.2009

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  30 in total

Review 1.  Selecting the signals for a brain-machine interface.

Authors:  Richard A Andersen; Sam Musallam; Bijan Pesaran
Journal:  Curr Opin Neurobiol       Date:  2004-12       Impact factor: 6.627

2.  Cortical local field potential encodes movement intentions in the posterior parietal cortex.

Authors:  Hansjörg Scherberger; Murray R Jarvis; Richard A Andersen
Journal:  Neuron       Date:  2005-04-21       Impact factor: 17.173

3.  Encoding of movement direction in different frequency ranges of motor cortical local field potentials.

Authors:  Jörn Rickert; Simone Cardoso de Oliveira; Eilon Vaadia; Ad Aertsen; Stefan Rotter; Carsten Mehring
Journal:  J Neurosci       Date:  2005-09-28       Impact factor: 6.167

4.  Coherent 25- to 35-Hz oscillations in the sensorimotor cortex of awake behaving monkeys.

Authors:  V N Murthy; E E Fetz
Journal:  Proc Natl Acad Sci U S A       Date:  1992-06-15       Impact factor: 11.205

Review 5.  Cognitive neural prosthetics.

Authors:  B Pesaran; S Musallam; R A Andersen
Journal:  Curr Biol       Date:  2006-02-07       Impact factor: 10.834

6.  Cortical potentials preceding voluntary movement: evidence for three periods of preparation in man.

Authors:  G Barrett; H Shibasaki; R Neshige
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1986-04

7.  Field potential oscillatory bursts in parietal cortex before and during reach.

Authors:  W A MacKay; A J Mendonça
Journal:  Brain Res       Date:  1995-12-18       Impact factor: 3.252

Review 8.  Movement-related cortical potentials.

Authors:  M Hallett
Journal:  Electromyogr Clin Neurophysiol       Date:  1994 Jan-Feb

9.  Oscillations in local field potentials of the primate motor cortex during voluntary movement.

Authors:  J N Sanes; J P Donoghue
Journal:  Proc Natl Acad Sci U S A       Date:  1993-05-15       Impact factor: 11.205

10.  Central beta rhythm during sensorimotor activities in man.

Authors:  G Pfurtscheller
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1981-03
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  37 in total

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Authors:  Eun Jung Hwang; Richard A Andersen
Journal:  J Neurophysiol       Date:  2011-11-09       Impact factor: 2.714

2.  Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials.

Authors:  Arjun K Bansal; Wilson Truccolo; Carlos E Vargas-Irwin; John P Donoghue
Journal:  J Neurophysiol       Date:  2011-12-07       Impact factor: 2.714

3.  Deficits in reach target selection during inactivation of the midbrain superior colliculus.

Authors:  Joo-Hyun Song; Robert D Rafal; Robert M McPeek
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-28       Impact factor: 11.205

4.  Local neural processing and the generation of dynamic motor commands within the saccadic premotor network.

Authors:  Marion R Van Horn; Diana E Mitchell; Corentin Massot; Kathleen E Cullen
Journal:  J Neurosci       Date:  2010-08-11       Impact factor: 6.167

5.  Efficient decoding with steady-state Kalman filter in neural interface systems.

Authors:  Wasim Q Malik; Wilson Truccolo; Emery N Brown; Leigh R Hochberg
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-11-15       Impact factor: 3.802

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

7.  Relationships among low-frequency local field potentials, spiking activity, and three-dimensional reach and grasp kinematics in primary motor and ventral premotor cortices.

Authors:  Arjun K Bansal; Carlos E Vargas-Irwin; Wilson Truccolo; John P Donoghue
Journal:  J Neurophysiol       Date:  2011-01-27       Impact factor: 2.714

8.  Motor cortical correlates of arm resting in the context of a reaching task and implications for prosthetic control.

Authors:  Meel Velliste; Scott D Kennedy; Andrew B Schwartz; Andrew S Whitford; Jeong-Woo Sohn; Angus J C McMorland
Journal:  J Neurosci       Date:  2014-04-23       Impact factor: 6.167

9.  A high performing brain-machine interface driven by low-frequency local field potentials alone and together with spikes.

Authors:  Sergey D Stavisky; Jonathan C Kao; Paul Nuyujukian; Stephen I Ryu; Krishna V Shenoy
Journal:  J Neural Eng       Date:  2015-05-06       Impact factor: 5.379

Review 10.  Interfacing to the brain's motor decisions.

Authors:  Giovanni Mirabella; Mikhail А Lebedev
Journal:  J Neurophysiol       Date:  2016-12-21       Impact factor: 2.714

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