Recent advances in neuroimaging techniques have provided significant insights into developmental trajectories of human brain function. Characterizations of typical neurodevelopment provide a framework for understanding altered neurodevelopment, including differences in brain function related to developmental disorders and psychopathology. Historically, most functional connectivity studies of typical and atypical development operate under the assumption that connectivity remains static over time. We hypothesized that relaxing stationarity assumptions would reveal novel features of both typical brain development related to children on the autism spectrum. We employed a "chronnectomic" (recurring, time-varying patterns of connectivity) approach to evaluate transient states of connectivity using resting-state functional MRI in a population-based sample of 774 6- to 10-year-old children. Dynamic connectivity was evaluated using a sliding-window approach, and revealed four transient states. Internetwork connectivity increased with age in modularized dynamic states, illustrating an important pattern of connectivity in the developing brain. Furthermore, we demonstrated that higher levels of autistic traits and ASD diagnosis were associated with longer dwell times in a globally disconnected state. These results provide a roadmap to the chronnectomic organization of the developing brain and suggest that characteristics of functional brain connectivity are related to children on the autism spectrum.

Additional Metadata
Keywords Autism spectrum disorder, Functional connectivity dynamics, Independent component analysis, Resting-state fMRI, Typical development
Persistent URL dx.doi.org/10.1002/hbm.24064, hdl.handle.net/1765/105565
Journal Human Brain Mapping
Citation
Rashid, B. (Barnaly), Blanken, L.M.E, Muetzel, R.L, Miller, R. (Robyn), Damaraju, E. (Eswar), Arbabshirani, M.R. (Mohammad R.), … Calhoun Vince D., V.D. (2018). Connectivity dynamics in typical development and its relationship to autistic traits and autism spectrum disorder. Human Brain Mapping. doi:10.1002/hbm.24064