bioRxiv (Cold Spring Harbor Laboratory) · 2021 · 12 citations · 77 references
Life SciencesNeurosciencePsychiatryBehavioral NeuroscienceCognitive NeuroscienceComputational NeuroscienceCortical MicrocircuitsCortical NetworksDepressionExcitatory-inhibitory BalanceNeural Circuit ModelingNeurotransmissionCortical Inhibitory MicrocircuitsDepression PathophysiologyInhibitory ConnectivityInhibitory NeurotransmissionNeurobiology Of DepressionSignal-to-noise RatioSignal-to-noise Ratio AnalysisSomatostatin-mediated Inhibition
Abstract Cortical processing depends on finely-tuned excitatory and inhibitory connections in neuronal microcircuits. Reduced inhibition by somatostatin-expressing interneurons is a key component of altered inhibition associated with treatment-resistant major depressive disorder (depression), which is implicated in cognitive deficits and rumination, but the link remains to be better established mechanistically in humans. Here, we tested the impact of reduced somatostatin interneuron mediated inhibition on cortical processing in human neuronal microcircuits using a data-driven computational approach. We integrated human cellular, circuit and gene-expression data to generate detailed models of human cortical microcircuits in health and depression. We simulated microcircuit baseline and response activity and found reduced signal-to-noise ratio and increased false/failed detection of stimuli due to a higher baseline activity in depression. Our results thus applied novel models of human cortical microcircuits to demonstrate mechanistically how reduced inhibition impairs cortical processing in depression, providing quantitative links between altered inhibition and cognitive deficits.
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