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Joint cross-correlation analysis reveals complex, time-dependent functional relationship between cortical neurons and arm electromyograms.

Publication ,  Journal Article
Zhuang, KZ; Lebedev, MA; Nicolelis, MAL
Published in: J Neurophysiol
December 1, 2014

Correlation between cortical activity and electromyographic (EMG) activity of limb muscles has long been a subject of neurophysiological studies, especially in terms of corticospinal connectivity. Interest in this issue has recently increased due to the development of brain-machine interfaces with output signals that mimic muscle force. For this study, three monkeys were implanted with multielectrode arrays in multiple cortical areas. One monkey performed self-timed touch pad presses, whereas the other two executed arm reaching movements. We analyzed the dynamic relationship between cortical neuronal activity and arm EMGs using a joint cross-correlation (JCC) analysis that evaluated trial-by-trial correlation as a function of time intervals within a trial. JCCs revealed transient correlations between the EMGs of multiple muscles and neural activity in motor, premotor and somatosensory cortical areas. Matching results were obtained using spike-triggered averages corrected by subtracting trial-shuffled data. Compared with spike-triggered averages, JCCs more readily revealed dynamic changes in cortico-EMG correlations. JCCs showed that correlation peaks often sharpened around movement times and broadened during delay intervals. Furthermore, JCC patterns were directionally selective for the arm-reaching task. We propose that such highly dynamic, task-dependent and distributed relationships between cortical activity and EMGs should be taken into consideration for future brain-machine interfaces that generate EMG-like signals.

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Published In

J Neurophysiol

DOI

EISSN

1522-1598

Publication Date

December 1, 2014

Volume

112

Issue

11

Start / End Page

2865 / 2887

Location

United States

Related Subject Headings

  • Somatosensory Cortex
  • Reaction Time
  • Neurons
  • Neurology & Neurosurgery
  • Muscle, Skeletal
  • Movement
  • Motor Cortex
  • Male
  • Macaca mulatta
  • Female
 

Citation

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Zhuang, K. Z., Lebedev, M. A., & Nicolelis, M. A. L. (2014). Joint cross-correlation analysis reveals complex, time-dependent functional relationship between cortical neurons and arm electromyograms. J Neurophysiol, 112(11), 2865–2887. https://doi.org/10.1152/jn.00031.2013
Zhuang, Katie Z., Mikhail A. Lebedev, and Miguel A. L. Nicolelis. “Joint cross-correlation analysis reveals complex, time-dependent functional relationship between cortical neurons and arm electromyograms.J Neurophysiol 112, no. 11 (December 1, 2014): 2865–87. https://doi.org/10.1152/jn.00031.2013.
Zhuang, Katie Z., et al. “Joint cross-correlation analysis reveals complex, time-dependent functional relationship between cortical neurons and arm electromyograms.J Neurophysiol, vol. 112, no. 11, Dec. 2014, pp. 2865–87. Pubmed, doi:10.1152/jn.00031.2013.

Published In

J Neurophysiol

DOI

EISSN

1522-1598

Publication Date

December 1, 2014

Volume

112

Issue

11

Start / End Page

2865 / 2887

Location

United States

Related Subject Headings

  • Somatosensory Cortex
  • Reaction Time
  • Neurons
  • Neurology & Neurosurgery
  • Muscle, Skeletal
  • Movement
  • Motor Cortex
  • Male
  • Macaca mulatta
  • Female