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Correlations between unit firing and EEG in the rat olfactory system
1Department of Physiology-Anatomy, University of California, Berkeley 94720.
Brain Research
|October 1, 1990
Summary
Gamma-range oscillatory bursts in olfactory EEG are locally generated. Simultaneous recordings in rats revealed two neuronal cell types, supporting a negative feedback model for burst generation, not coupled oscillators.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Sensory Systems
Background:
- Awake animals exhibit gamma-range (30-100 Hz) oscillatory bursts in olfactory electroencephalography (EEG).
- These bursts correlate with airflow but lack gamma-range input signals, suggesting local generation within olfactory cortices.
- Potential mechanisms include neuronal feedback interactions or coupled intrinsically oscillatory neurons.
Purpose of the Study:
- To investigate the origin of gamma-range oscillatory bursts in the olfactory system.
- To differentiate between negative feedback and coupled oscillator models for burst generation.
Main Methods:
- Simultaneous recordings of EEG and multi-unit spikes in awake, motivated rats.
- Recordings were performed in four olfactory system areas: olfactory bulb, anterior olfactory nucleus, prepyriform cortex, and lateral entorhinal area.
- Multi-unit electrodes captured spikes from principal output neurons in local neighborhoods corresponding to EEG recordings.
Main Results:
- Neuronal firing probability oscillations matched the dominant EEG frequency across all tested olfactory structures.
- Two distinct neuronal populations were identified: one firing in phase with the EEG, and another with a phase lag/lead of approximately 1/4 cycle.
- These findings align with the predictions of a negative feedback interaction model.
Conclusions:
- The data strongly support a negative feedback mechanism, involving excitatory and inhibitory neuronal interactions, as the generator of olfactory gamma-range oscillations.
- The coupled oscillator model was not supported by the observed phase relationships.
- The findings have implications for understanding oscillatory activity in other cortical systems, such as the visual cortex.