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Plasticity after cognitive training reflected in prefrontal local field potentials.

Balbir Singh1, Zhengyang Wang2, Xue-Lian Qi3

  • 1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA.

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|September 6, 2022
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Cognitive task learning reshapes brain activity, reducing specific brainwave power in the prefrontal cortex. This neural plasticity signature in local field potentials (LFPs) is linked to successful working memory task performance.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Learning new cognitive tasks alters prefrontal cortex (PFC) activity, involving neuronal activation and firing rates.
  • Single neuron responses to learning are complex and varied.
  • Understanding global neural activity changes during cognitive learning is crucial.

Purpose of the Study:

  • To investigate how learning working memory tasks affects global neural activity measures.
  • To analyze changes in local field potentials (LFPs) before and after cognitive training.

Main Methods:

  • Recording and analyzing local field potentials (LFPs) in monkeys.
  • Comparing LFP power spectra pre- and post-learning of working memory tasks.
  • Examining LFP changes during stimulus presentation and delay periods.

Main Results:

  • A reduction in LFP power within the 20-40 Hz range was observed after training.
  • This decrease in LFP power occurred during stimulus presentation and delay periods.
  • Error trials showed a lack of LFP power ramping, indicating impaired learning or performance.

Conclusions:

  • Learned cognitive tasks induce plasticity in the prefrontal cortex, detectable through LFP changes.
  • Reduced LFP power in specific frequency bands serves as a signature of cortical plasticity associated with cognitive learning.
  • LFP analysis provides insights into the neural mechanisms underlying cognitive task acquisition.