期刊
HUMAN BRAIN MAPPING
卷 39, 期 8, 页码 3127-3142出版社
WILEY
DOI: 10.1002/hbm.24064
关键词
autism spectrum disorder; functional connectivity dynamics; independent component analysis; resting-state fMRI; typical development
资金
- Sophia Children's Hospital Research Foundation (SSWO) Project 639
- Simons Foundation Autism Research Initiative (SFARI) [307280]
- Netherlands Organization for Health Research and Development (ZonMw) TOP [91211021]
- NIH [P20GM103472, R01EB005846, R01EB020407, NSF 1539067]
- European Community's 7th Framework Programme [FP7/2008-2013, 212652]
- Erasmus Medical Center, Rotterdam
- Erasmus University Rotterdam, ZonMw
- Netherlands Organisation for Scientific Research (NWO)
- Ministry of Health, Welfare and Sport
- NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [R01EB020407, R01EB005846] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [P20GM103472] Funding Source: NIH RePORTER
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.
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