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Linking reduced prefrontal microcircuit inhibition in schizophrenia to EEG biomarkers in silico

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  • Reduced PV interneuron inhibition reproduces decreased MMN amplitude in schizophrenia, with a threshold explaining smaller effects in at risk individuals.
  • Reduced SST interneuron inhibition does not alter MMN amplitude but increases resting broadband power in simulations.
  • Combined PV and SST inhibition loss shifts resting EEG from alpha to beta and links microcircuit pathology to non-invasive biomarkers for stratification and early detection.
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PLoS Comput Biol. 2026 Jun 2;22(6):e1014304. doi: 10.1371/journal.pcbi.1014304. eCollection 2026 Jun.

ABSTRACT

Reduced cortical inhibition by parvalbumin-expressing (PV) interneurons in schizophrenia is thought to be associated with impaired processing in the prefrontal cortex and altered EEG signals such as oddball mismatch negativity (MMN). Recent studies also suggest loss of somatostatin (SST) interneuron inhibition. However, establishing the link between reduced interneuron inhibition and reduced MMN experimentally in humans is currently not possible. To overcome these challenges, we simulated spiking activity and EEG during baseline and oddball response in detailed models of human prefrontal microcircuits in health and schizophrenia, with reduced PV and SST interneuron inhibition as constrained by postmortem patient data. We showed that reduced PV interneuron inhibition can account for the decreased MMN amplitude seen in schizophrenia, with a threshold below which the amplitude effect was low as seen in at-risk patients. In contrast, reduced SST interneuron inhibition did not affect the MMN amplitude. We further showed that both types of inhibition loss were necessary to account for changes in resting EEG in schizophrenia, with reduced SST interneuron inhibition increasing broadband power, and reduced PV and SST interneuron inhibition both leading to a right shift from alpha to beta frequencies. Our study thus links reduced PV and SST interneuron inhibition in schizophrenia to distinct EEG biomarkers that can serve to improve stratification and early detection using non-invasive brain signals.

PMID:42228689 | DOI:10.1371/journal.pcbi.1014304

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