Reconstruction of movement-related intracortical activity from micro-electrocorticogram array signals in monkey primary motor cortex

Journal of Neural Engineering
Hidenori WatanabeTadashi Isa

Abstract

Subdural electrode arrays provide stable, less invasive electrocorticogram (ECoG) recordings of neural signals than multichannel needle electrodes. Accurate reconstruction of intracortical local field potentials (LFPs) from ECoG signals would provide a critical step for the development of a less invasive, high-performance brain-machine interface; however, neural signals from individual ECoG channels are generally coarse and have limitations in estimating deep layer LFPs. Here, we developed a high-density, 32-channel, micro-ECoG array and applied a sparse linear regression algorithm to reconstruct the LFPs at various depths of primary motor cortex (M1) in a monkey performing a reach-and-grasp task. At 0.2 mm beneath the cortical surface, the real and estimated LFPs were significantly correlated (correlation coefficient (r); 0.66 ± 0.11), and the r at 3.2 mm was still as high as 0.55 ± 0.04. A time-frequency analysis of the reconstructed LFP showed clear transition between resting and movements by the monkey. These methods would be a powerful tool with wide-ranging applicability in neuroscience studies.

References

Mar 1, 1975·Journal of Neurophysiology·J A Freeman, C Nicholson
Nov 24, 1999·Journal of Neurophysiology·D W Moran, A B Schwartz
Jul 23, 2002·Nature Neuroscience·Bijan PesaranRichard A Andersen
Nov 25, 2003·Nature Neuroscience·Carsten MehringStefan Rotter
Apr 26, 2005·Neuron·Hansjörg ScherbergerRichard A Andersen
May 7, 2005·Journal of Neural Engineering·Eric C LeuthardtDaniel W Moran
Sep 30, 2005·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Jörn RickertCarsten Mehring
Dec 14, 2005·Neuroscience·M Steriade
Jul 14, 2006·Nature·Leigh R HochbergJohn P Donoghue
Oct 4, 2006·Neuron·Andrew B SchwartzDaniel W Moran
Jan 27, 2007·The Journal of Physiology·Jonathan R Wolpaw
Mar 11, 2008·Current Biology : CB·Marcelo A MontemurroStefano Panzeri
Apr 5, 2008·Science·Peter LakatosCharles E Schroeder
May 30, 2008·Nature·Meel VellisteAndrew B Schwartz
Aug 2, 2008·Neural Networks : the Official Journal of the International Neural Network Society·Jo-Anne TingStefan Schaal
Nov 7, 2008·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Supratim RaySteven S Hsiao
Jan 17, 2009·Neuron·Steffen KatznerMatteo Carandini
Jan 22, 2009·Journal of Neural Engineering·Tonio BallCarsten Mehring
Apr 30, 2009·Annual Review of Neuroscience·Nicholas G Hatsopoulos, John P Donoghue
May 14, 2009·Journal of Neural Engineering·Birthe RubehnThomas Stieglitz
Jun 23, 2009·Nature Reviews. Neuroscience·Miguel A L Nicolelis, Mikhail A Lebedev
Jul 7, 2009·Annual Review of Psychology·Richard A AndersenGrant H Mulliken
Oct 31, 2009·Neuron·Kevin Whittingstall, Nikos K Logothetis
Mar 4, 2010·Journal of Neural Engineering·Marc W SlutzkyLee E Miller
Oct 15, 2010·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Steven M ChaseRobert E Kass
Jul 19, 2011·NeuroImage·Tobias PistohlTonio Ball
Nov 5, 2011·Annals of Neurology·Takufumi YanagisawaToshiki Yoshimine
Dec 14, 2011·Neuron·Henrik LindénGaute T Einevoll

❮ Previous
Next ❯

Citations

Jun 1, 2014·Neuroscience Research·Yasuhiko NakanishiYasuharu Koike
Dec 24, 2013·NeuroImage·Kei MajimaYukiyasu Kamitani
Mar 2, 2016·IEEE Transactions on Biomedical Circuits and Systems·H AndoT Suzuki
Jan 20, 2019·Micromachines·Mehdi ShokoueinejadJustin Williams

❮ Previous
Next ❯

Related Concepts

Related Feeds

Brain-Computer Interface

A brain-computer interface, also known as a brain-machine interface, is a bi-directional communication pathway between an external device and a wired brain. Here is the latest research on this topic.