Longitudinal Study Maps Functional Brain Network Development in Rats from Juvenile to Early Adulthood
Researchers used resting-state fMRI to track how functional networks in the rat brain develop across five timepoints from juvenile stage (P28) through early adulthood (P91), employing consensus clustering to identify robust networks. The study found that rat brain development follows a pattern of increasing network segregation and specialization, mirroring sensorimotor-to-cognitive gradients observed in human brain development. This work provides a standardized developmental atlas for preclinical neuroimaging research, addressing a significant gap in the field and enabling better translation of findings to understanding psychiatric disorders that emerge during adolescence.
Researchers conducted a longitudinal resting-state fMRI study in rats to map how functional brain networks develop from juvenile stages through early adulthood, using a standardized protocol across five developmental timepoints (P28, P35, P49, P70, P91). Using consensus clustering informed by cluster quality metrics, they identified functional networks at multiple spatial scales (k=3, k=5, k=7) and analyzed developmental trajectories using force-directed spring embeddings and graph metrics. The analysis revealed global shifts in brain organization characterized by increased system segregation and decreased global network integration over time, with heterogeneous maturation patterns across networks that recapitulated sensorimotor-to-higher-cognitive gradients observed in human development. The rat brain transitioned from globally interconnected juvenile networks to functionally segregated adult networks through both linear and non-linear developmental trajectories, with notable network fractionation and delayed cortical specialization during the adolescent period. The researchers openly shared all data, analytic resources, and outputs to create a developmentally informed functional atlas analogous to the widely-used Yeo 7-network parcellation in humans, providing standardized resources for the preclinical neuroimaging community.
Limitations & open questions
The study's own limitations are not detailed in the abstract provided, such as sample size specifics, potential effects of anesthesia protocols on network detection, generalizability to other rodent strains or species, or validation against other parcellation methods beyond the Yeo atlas comparison.
What different sources said
- bioRxivCenter
Longitudinal consensus clustering reveals the functional architecture of the developing rat brain
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