Periodic and aperiodic changes to cortical EEG in response to pharmacological manipulation
- Sofia V Salvatore 1, Peter M Lambert 1,2, Ann Benz 1, Nicholas R Rensing 3, Michael Wong 3, Charles F Zorumski 1,4, Steven Mennerick 1,4
- Sofia V Salvatore 1, Peter M Lambert 1,2, Ann Benz 1
- 1Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, Missouri, United States.
- 2Medical Scientist Training Program, Washington University in St. Louis School of Medicine, St. Louis, Missouri, United States.
- 3Department of Neurology, Washington University in St. Louis School of Medicine, St. Louis, Missouri, United States.
- 4Taylor Family Institute for Innovative Psychiatric Research, Washington University in St. Louis School of Medicine, St. Louis, Missouri, United States.
- 0Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, Missouri, United States.
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View abstract on PubMed
Summary
This summary is machine-generated.The aperiodic exponent of electroencephalograms (EEGs) is not a reliable marker for the brain's excitation/inhibition balance. This study found inconsistencies with pharmacological manipulations, indicating a need for alternative biomarkers in neuropsychiatric research.
Area Of Science
- Neuroscience
- Computational Neuroscience
- Pharmacology
Background
- Cortical electroencephalograms (EEGs) offer insights into neuropsychiatric disorders and treatment mechanisms.
- The aperiodic component (1/f) of EEG power spectra, often considered noise, may reflect the excitation/inhibition balance.
- Previous studies are confounded by behavioral state, necessitating robust validation of EEG parameters.
Purpose Of The Study
- To rigorously test the aperiodic exponent of EEG power spectra as a reliable indicator of cortical excitation/inhibition balance.
- To investigate the impact of specific pharmacological manipulations on the aperiodic exponent.
- To determine if the aperiodic exponent can serve as a universal biomarker for excitation/inhibition ratio.
Main Methods
- Analysis of video-EEG data from mice during active exploration.
- Application of the fitting oscillations and one over f (FOOOF) algorithm to EEG power spectra.
- Pharmacological interventions including GABA<sub>A</sub> receptor modulators, ketamine, GABA<sub>A</sub>R antagonists, and Designer Receptors Exclusively Activated by Designer Drugs (DREADDs) to manipulate neuronal activity.
Main Results
- GABA<sub>A</sub> receptor-positive allosteric modulators increased the aperiodic exponent, aligning with the hypothesis of enhanced cortical inhibition.
- Ketamine and GABA<sub>A</sub>R antagonists did not produce predicted changes in the aperiodic exponent.
- Suppression of parvalbumin-positive interneurons using DREADDs unexpectedly increased the aperiodic exponent, contradicting the expected outcome.
Conclusions
- The aperiodic exponent of EEG power spectra is not a universally reliable marker for cortical excitation/inhibition ratio.
- Observed inconsistencies suggest that other factors influence the aperiodic exponent beyond excitation/inhibition balance.
- Further research is required to identify dependable biomarkers for excitation/inhibition balance in neuropsychiatric conditions.
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