Trial-to-trial correlation between thalamic sensory response and global EEG activity
Yonatan Katz1, Michael Okun, Ilan Lampl
1Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel. yonatan.katz@weizmann.ac.il
The European Journal of Neuroscience
|March 6, 2012
Summary
Brain activity, measured by EEG, rapidly modulates thalamic responses to sensory input. Delta and gamma EEG bands independently influence thalamic firing rates, impacting how whisker information is processed.
Area of Science:
- Neuroscience
- Sensory Processing
- Brain Activity
Background:
- Thalamic gating of sensory information to the cortex is dynamic, varying with behavioral states like sleep-wake cycles and anesthesia.
- Anesthesia depth influences the receptive field size of the ventral posteromedial thalamic nucleus (VPM) in rodents.
- Electroencephalography (EEG) spectral content correlates with behavioral conditions.
Purpose of the Study:
- To investigate the correlation between global EEG activity and evoked thalamic responses on a fine time scale.
- To determine if specific EEG frequency bands modulate thalamic neuronal firing and receptive field properties.
Main Methods:
- Trial-by-trial analysis of VPM cell responses to whisker stimulation in lightly anesthetized rats.
- Correlation analysis between EEG power in delta (1-4 Hz) and gamma (30-50 Hz) bands and VPM neuronal firing rates.
- Assessment of receptive field size and EEG phase relationships.
Main Results:
- Increased delta band EEG power correlated with reduced VPM spontaneous and evoked firing.
- Increased gamma band EEG power correlated with increased VPM spontaneous and evoked firing.
- These modulations occurred without significant changes in receptive field size and were independent of EEG phase.
Conclusions:
- Global EEG activity, specifically delta and gamma bands, rapidly modulates thalamic neuronal firing rates.
- The influence of delta and gamma bands on VPM responses is largely independent.
- This suggests a mechanism for rapid modulation of whisker information processing based on global brain states.

