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AI predicts how brain injuries disrupt consciousness — and how to restore it once it’s disordered

We developed a generative AI framework that learns to simulate impaired consciousness from massive datasets of neural activity, revealing hidden mechanisms of disorders of consciousness. It predicted selective damage to the basal ganglia indirect pathway, abnormal inhibitory cortical wiring and promising treatments, which were confirmed in patient tissue, brain scans and clinical data.

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Fig. 1: AI-predicted circuit disruptions in disorders of consciousness and validation in patient brain scans.

References

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This is a summary of: Toker, D. et al. Adversarial AI reveals mechanisms and treatments for disorders of consciousness. Nat. Neurosci. https://doi.org/10.1038/s41593-026-02220-4 (2026).

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AI predicts how brain injuries disrupt consciousness — and how to restore it once it’s disordered. Nat Neurosci (2026). https://doi.org/10.1038/s41593-026-02223-1

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