Adaptive robustness through incoherent signaling mechanisms in a regenerative brain

Autor: Samuel R. Bray, Livia S. Wyss, Chew Chai, Maria E. Lozada, Bo Wang
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Cell Reports, Vol 43, Iss 8, Pp 114580- (2024)
Druh dokumentu: article
ISSN: 2211-1247
DOI: 10.1016/j.celrep.2024.114580
Popis: Summary: Animal behavior emerges from collective dynamics of neurons, making it vulnerable to damage. Paradoxically, many organisms exhibit a remarkable ability to maintain significant behavior even after large-scale neural injury. Molecular underpinnings of this extreme robustness remain largely unknown. Here, we develop a quantitative pipeline to measure long-lasting latent states in planarian flatworm behaviors during whole-brain regeneration. By combining >20,000 animal trials with neural network modeling, we show that long-range volumetric peptidergic signals allow the planarian to rapidly restore coarse behavior output after large perturbations to the nervous system, while slow restoration of small-molecule neuromodulator functions refines precision. This relies on the different time and length scales of neuropeptide and small-molecule transmission to generate incoherent patterns of neural activity that competitively regulate behavior. Controlling behavior through opposing communication mechanisms creates a more robust system than either alone and may serve as a generalizable approach for constructing robust neural networks.
Databáze: Directory of Open Access Journals