Particle.news

Download on the App Store

Striosome-Focused Computational Model Maps Decision Styles and Hints at New Therapies

Published in Nature Communications, the framework creates a unified decision-space model that maps choice styles from impulsive to overdeliberative, proposing striosomal modulation as a candidate psychiatric treatment pending empirical testing.

Overview

  • Researchers at Mount Sinai and the University of Texas at El Paso published a decision-space model identifying the striosomal compartment of the striatum as a central hub for weighting decision factors.
  • The model shows that high striosomal activity drives simple or rapid impulsive choices while low activity fosters complex deliberation or decision paralysis.
  • Analyses revealed increased synchrony between striosome and matrix neurons during challenging tasks, supporting the model’s context-dependent predictions.
  • Authors link altered striosomal function to decision biases across psychiatric disorders such as PTSD, substance use disorder and depression.
  • The study proposes modulating striosomal activity as a potential therapeutic strategy but underscores the need for animal and clinical validation.