A foundation model for brain organoid network dynamics uncovers intrinsic computation and convergent disease phenotypes

Journal: bioRxiv
Published Date:
(1)

Abstract

Brain organoids develop self-organizing neural networks that can be used to model neurodevelopment and disease. Here we introduce PULSE, a foundation model developed using over 900 hours of high-density microelectrode array recordings of in vitro and ex vivo neural tissue. We show that this single model can address two open questions: how disease-associated variants alter network development, and how naive circuits encode information. PULSE revealed accelerated network maturation in held-out human 16p11.2-deletion organoids. It also revealed a change in network coordination shared with SHANK3 deficiency. Because organoids develop without sensory input, they let us ask how circuits encode information before any representation is learned. Closed-loop control of a virtual inverted pendulum engaged existing spontaneous activity patterns rather than creating new ones. PULSE provides a common reference frame for neural circuits across genotypes, protocols and tasks.

Authors

  • Schweiger
  • H. E.; Robbins
  • A.; Hernandez
  • S.; Moreno-Ochando
  • A.; Cline
  • I.; Doganyigit
  • K.; Mouzaya
  • M.; Hussain
  • K.; Pang
  • Z. P.; Duan
  • J.; Salama
  • S. R.; Pollen
  • A. A.; Bhaduri
  • A.; Haussler
  • D.; Teodorescu
  • M.; Mostajo-Radji
  • M. A.

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