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Published on: October 24, 2019
Functional individual variability development of the neonatal brain.
Wenjian Gao1,2, Ziyi Huang1,2, Wenfei Ou1,2
1School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China.
Neonatal brain development shows significant individual differences in local functional architecture. This variability increases with age, particularly in sensory and association cortices, offering insights into early brain plasticity.
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Cognitive Neuroscience
Background:
- Individual differences in cognition and behavior originate from prenatal brain development.
- Understanding individual variability in neonatal brain functional architecture is crucial due to nascent long-range connectivity and segregated functions.
Purpose of the Study:
- To characterize individual functional variability at a local level in the neonatal brain.
- To investigate the relationship between age and local functional variability in neonates.
Main Methods:
- Utilized resting-state functional magnetic resonance imaging (fMRI) data from 163 neonates (32-45 postconceptional weeks).
- Analyzed functional parcellation similarity, local brain activity, and local functional connectivity to assess individual variability.
- Examined regional differences in variability and the effect of age on these measures.
Main Results:
- Significantly higher local functional individual variability was observed in the superior parietal, sensorimotor, and visual cortex.
- Lower variability was noted in the frontal, insula, and cingulate cortex compared to other regions.
- Mean local functional individual variability increased with age, with a more pronounced effect in the occipital, temporal, prefrontal, and parietal cortex.
Conclusions:
- Neonatal brain development exhibits distinct patterns of local functional variability across regions.
- Local functional variability increases with age, reflecting regional maturation processes.
- Findings contribute to understanding brain plasticity and differential maturation in early development.
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