# Microstate in rats’ EEG: a proof of concept study

## TL;DR

This study shows that microstates, patterns of brain activity seen in humans, also exist in rats and could help study brain functions and diseases in preclinical research.

## Contribution

The study demonstrates the presence and characterization of microstates in rat EEGs using human-derived metrics for the first time.

## Key findings

- Five microstate EEG maps were identified in rats, explaining 71% of the variance in the dataset.
- Rats' microstates showed similar explained variance, temporal coverage, and duration to human microstates.
- Microstates were associated with brain regions like the cingulate cortex, precuneus, and insula, and linked to theta and alpha frequency bands.

## Abstract

The electroencephalogram (EEG) reflecting brain activity may be characterised through brief periods of stable neural activity patterns that recur over time and are referred to as microstates. Microstates are related to a range of cognitive processes, and their analysis has become an increasingly popular tool for studying human brain function. While microstates have been extensively studied in humans, their presence and characteristics in animal models have yet to be as thoroughly investigated. This study aims to address this gap by detecting and characterising microstates in EEGs of rats collected using a superficial electrode system corresponding to homological areas of the human 10–20 system. Specifically, we demonstrate the presence of microstates in rats’ EEGs, i.e., those that may be captured by the same metrics as in humans. We identified five microstate EEG maps in rats, explaining 71% of the variance in our dataset (N = 30). The explained variance, mean temporal coverage values (0.2), and average duration (0.26 s) are comparable to the human-derived EEG microstates. Via a source localisation technique, the cingulate cortex, precuneus, and insula were found to be associated with the microstates’ temporal dynamics. Among the microstates that showed a broadband character, we also found those that showed an association with the theta and alpha bands. These findings have important implications for the use of microstates as a preclinical tool for investigating brain functions, detecting new biomarkers of brain diseases, and translating this knowledge to humans.