Identifying behavioral links to neural dynamics of multifiber photometry recordings in a mouse social behavior network.

ABSTRACT: Distributed hypothalamic-midbrain neural circuits orchestrate complex behavioral responses during social interactions. How population-averaged neural activity measured by multi-fiber photometry (MFP) for calcium fluorescence signals correlates with social behaviors is a fundamental question. We propose a state-space analysis framework to characterize mouse MFP data based on dynamic latent variable models, which include continuous-state linear dynamical system (LDS) and discrete-state hidden semi-Markov model (HSMM). We validate these models on extensive MFP recordings during aggressive and mating behaviors in male-male and male-female interactions, respectively. Our results show that these models are capable of capturing both temporal behavioral structure and associated neural states. Over

SUBMITTER: Chen Y 

PROVIDER: S-EPMC10793434 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature