Computational Predictions of SST Dysfunction Effects in Schizophrenia

Multiple computational modeling studies predict distinct EEG and circuit-level signatures of SST vs PV interneuron dysfunction in schizophrenia. This comparison shows convergence in predicting that SST dysfunction particularly affects theta-band activity and dendritic processing, while PV dysfunction affects gamma oscillations.

{
  "papers": [
    {
      "doi": "10.1101/2023.08.11.553052",
      "value": "SST interneuron inhibition loss increases theta power; PV inhibition loss shifts alpha to beta frequencies",
      "method": "spiking neural network simulation",
      "metric": "EEG biomarker predictions for SST vs PV dysfunction",
      "cite_key": "Rosanally2023",
      "condition": "schizophrenia vs healthy",
      "study_system": "computational model of human prefrontal microcircuit",
      "value_source_sentence": "reduced SST interneuron inhibition increasing theta power, and reduced PV interneuron inhibition leading to a right shift from alpha to beta frequencies"
    }
  ],
  "n_analyzed": "N/A (computational)",
  "n_definition": "model simulations",
  "scope_region": "prefrontal cortex",
  "comparison_id": "sst-schizophrenia-circuit-models",
  "comparison_name": "Computational Predictions of SST Dysfunction Effects in Schizophrenia",
  "comparison_type": "convergent evidence",
  "taxonomic_level": "cell type (SST+ vs PV+)",
  "what_it_reveals": "Multiple computational modeling studies predict distinct EEG and circuit-level signatures of SST vs PV interneuron dysfunction in schizophrenia. This comparison shows convergence in predicting that SST dysfunction particularly affects theta-band activity and dendritic processing, while PV dysfunction affects gamma oscillations.",
  "scope_population": "SST and PV interneuron circuits",
  "homogeneity_check": {
    "caveats": [
      "All computational/modeling studies - no direct experimental validation",
      "Different model architectures and parameter ranges",
      "Predictions depend on specific assumptions about SST and PV connectivity patterns"
    ],
    "comparable": true
  },
  "suggested_plot_type": "heatmap"
}

[
  "paper:paper-23d0bc8e2cc3"
]

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  "notes": [
    "Local review repositories are read-only inputs.",
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  "source_commit_sha": "89b7e9787cd90e942b0adb531d549af3ddad30f1",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST"
}