Abstract

We used optogenetic mice to investigate possible nonlinear responses of the medial prefrontal cortex (mPFC) local network to light stimuli delivered by a 473 nm laser through a fiber optics. Every 2 s, a brief 10 ms light pulse was applied and the local field potentials (LFPs) were recorded with a 10 kHz sampling rate. The experiment was repeated 100 times and we only retained and analyzed data from six animals that showed stable and repeatable response to optical stimulations. The presence of nonlinearity in our data was checked using the null hypothesis that the data were linearly correlated in the temporal domain, but were random otherwise. For each trail, 100 surrogate data sets were generated and both time reversal asymmetry and false nearest neighbor (FNN) were used as discriminating statistics for the null hypothesis. We found that nonlinearity is present in all LFP data. The first 0.5 s of each 2 s LFP recording were dominated by the transient response of the networks. For each trial, we used the last 1.5 s of steady activity to measure the phase resetting induced by the brief 10 ms light stimulus. After correcting the LFPs for the effect of phase resetting, additional preprocessing was carried out using dendrograms to identify “similar” groups among LFP trials. We found that the steady dynamics of mPFC in response to light stimuli could be reconstructed in a three-dimensional phase space with topologically similar “8”-shaped attractors across different animals. Our results also open the possibility of designing a low-dimensional model for optical stimulation of the mPFC local network.

Highlights

  • Synchronization of neural oscillators across different areas of the brain is involved in memory consolidation, decision-making, and many other cognitive processes (Oprisan and Buhusi, 2014)

  • For the third group of data, which was rejected based on time reversal asymmetry discriminating statistics, we found that the percentage of false nearest neighbors (FNN) for all 100 surrogates computed for all trials in the respective group was always larger than for the original data

  • We first performed a phase shift of every 1.5 s long local field potentials (LFPs) recording to correct for the phase resetting due to light stimulus

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Summary

Introduction

Synchronization of neural oscillators across different areas of the brain is involved in memory consolidation, decision-making, and many other cognitive processes (Oprisan and Buhusi, 2014). In humans, sustained theta oscillations were detected when subjects navigated through a virtual maze by memory alone, relative to when they were guided through the maze by arrow cues (Kahana et al, 1999). The duration of sustained theta activity is proportional to the length of the maze. Theta rhythm does not seem to correlate with decision-making processes. The duration of gamma rhythm is proportional to the decision time. Gamma oscillations showed strong coherence across different areas of the brain during associative learning (Miltner et al, 1999). A similar strong coherence in gamma band was found between frontal and parietal cortex during successful

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