Abstract
Cortical neurons receive excitatory drive of variable strength, which could affect how these neurons regulate network behavior during oscillatory activity. Prefrontal gamma oscillations require excitatory drive to parvalbumin interneurons and alterations in these synaptic inputs might contribute to lower prefrontal gamma power in schizophrenia. Here, we utilized computational modeling and empirical measures in human prefrontal cortex to investigate how variability in excitatory synaptic strength across parvalbumin interneurons could contribute to lower gamma power in schizophrenia.
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