Forscher erstellen ein Modell, um zu verstehen, wie die Entscheidungsfindung des Gehirns auf psychiatrische Störungen beeinflusst wird

    https://www.mountsinai.org/about/newsroom/2025/a-mount-sinailed-team-creates-model-for-understanding-how-the-brains-decisionmaking-is-impacted-in-psychiatric-disorders

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    1. > Investigators found that information from the brain about potentially relevant factors involved in decision-making flows into the striosomes, and that the striosomes then determine which and how many of those factors will be used to make the decision. Specifically, they learned that high levels of striosomal activity favor “simple” decisions in which single factors determine whether the individual pursues an option that carries potential rewards or costs. Extremely high levels of striosomal activity, however, can lead to impulsive decisions which are made rapidly and often carelessly. On the other hand, the study revealed that lower levels of striosomal activity favor “complex” decisions in which multiple factors are considered in the course of decision-making, while extremely low levels can lead to “analysis paralysis,” in which decisions are greatly delayed because too many factors are being considered and neural circuits can’t settle into a configuration that favors one action versus another.

      > “Our model provides an innovative way to interpret impairments in so-called cost-benefit decision-making in psychiatric disorders,” explains Alexander Friedman, PhD, Assistant Professor of Biological Sciences at the University of Texas at El Paso and co-lead author of the study. “For example, we believe that disorders like post-traumatic stress disorder and substance abuse disorder, in which risky behaviors are common, result from high levels of striosomal activity driving consideration of potential rewards but ignoring potential costs. Conversely, disorders like depression, where daily decisions are often difficult, are believed to result from low levels of striosomal activity that result in too many dimensions being considered.”

      [A decision-space model explains context-specific decision-making | Nature Communications](https://www.nature.com/articles/s41467-025-61466-x)

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