Ventral CA1 Excitability Margin Model for Stress and Maladaptive Circuit Reactivation

A computational model by Patryk Rosa, published on figshare in 2026, proposes the excitability margin as a gating mechanism linking chronic stress and inflammation to maladaptive circuit reactivation. The model integrates published electrophysiological data to simulate how stress reduces the excitability reserve of ventral CA1 pyramidal neurons, with a main scenario showing a 67.5% reduction from 18.4 mV to approximately 6.0 mV. This framework provides a hypothesis-generating transdiagnostic model relevant to schizophrenia, depression, and trauma-related phenotypes.

Use Cases

• Testing the hypothesis of excitability margin narrowing as a gating mechanism for maladaptive circuit reactivation based on the described model.
• Simulating the impact of chronic stress and inflammatory load on ventral CA1 neuron excitability based on the published electrophysiological data integration.
• Generating predictions for interventions that widen the excitability margin to attenuate hyperreactivity, as outlined in the model's falsifiable predictions.
• Applying the transdiagnostic framework to analyze excitability instability in other phenotype-relevant circuit nodes beyond the vCA1/vHipp system.

Strengths

• Model provides specific, quantifiable predictions, such as a 67.5% reduction in excitability margin from 18.4 mV to ~6.0 mV.
• Framework is explicitly designed to be falsifiable and transferable to other circuit nodes.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and modification.

Limitations

• The dataset is a 511.3 KB PDF document; the underlying model data or code is not provided as a structured dataset.
• Row count and column-level documentation are absent, limiting direct analysis of the computational model's raw data.
• Description metadata is limited; actual data quality and model implementation details require manual inspection of the PDF.

Provenance

Source

figshare

Collection Method

Conceptually guided integration of published electrophysiological data into a computational model.

Freshness

Last updated 2026-04-30 05:39:56; freshness should be verified.