Schizophrenia risk may reflect two brain pathways with different cortical and subcortical balance.

Early language learning relies more on subcortical systems; later learning engages cortical control.

Genetic studies suggest schizophrenia includes distinct pathways with different brain system balance.

John Nash won the Nobel Prize in Economic Sciences in 1994. By then, his most important mathematical work was decades behind him, his psychosis had largely receded, and he had spent years doing mathematics at Princeton in what most clinicians would call partial remission. His story, immortalized in A Beautiful Mind, struck millions as a triumph of resilience.

It struck Michael Halassa, a neuroscientist and psychiatrist at Tufts, as a puzzle.

Halassa writes in the context of a broader research program he calls algorithmic psychiatry, which argues that mental illness is best understood at the level of how the brain builds and updates models of the world. His recent essay describes the dissonance between Nash's trajectory and the clinical picture that dominates psychiatric training: patients who arrive at their first psychotic break already cognitively compromised, who decline further despite adequate treatment, and who never return to baseline. Did Nash really have schizophrenia? For Halassa, the question is less a diagnostic quibble than an invitation to look more carefully at what computational processes, and what developmental conditions, lie beneath that label.

It was Halassa’s new essay that sent me there. When I read it, it introduced me to a paper by Watson and colleagues in Molecular Psychiatry, one that made me return to work of my own that had always felt like it belonged to a different conversation.

One Label, Two Biological Stories

The Watson et al. paper begins with a longstanding paradox. Schizophrenia is associated clinically with lower educational attainment, yet........

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