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Developmental changes in connectivity-based parcellation in typical cortical areas during early life
Zuozhen Cao1, Zhiyong Zhao2, Qinfeng Zhu1
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, No. 38 Zheda Road, Hangzhou 310027, China.
Brain development varies by region. Primary motor and sensory cortices develop early in the first two years of life, while the insula shows later changes into adulthood.
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Brain Imaging
Background:
- The human cerebral cortex undergoes significant development in early life.
- Quantifying functional cortical parcellation changes during development has been challenging.
- Heterogeneous cortical development necessitates age-specific analytical approaches.
Purpose of the Study:
- To characterize heterogeneous cerebral cortex development using connectivity-based parcellation.
- To investigate the developmental trajectories of primary motor cortex (M1), sensory cortex (S1), and insula from infancy to adulthood.
- To establish novel methods for quantifying cortical development in infants.
Main Methods:
- Employed tractography-based connectivity to parcellate sub-regions within M1, S1, and insula.
- Analyzed brain data from three developmental stages (first 2 years of life) and adulthood.
- Quantified connectivity profiles and volume fractions of identified cortical sub-regions.
Main Results:
- Identified distinct sub-regions in M1 (4), S1 (3), and insula (2) based on connectivity patterns.
- M1 and S1 sub-regions showed steady developmental changes in the first two years, aligning with adult patterns.
- Insula sub-regions exhibited minimal change in early life but significant divergence in adulthood.
Conclusions:
- Primary cortical areas (M1, S1) undergo early maturation, while higher-order areas like the insula mature later.
- Developmental trajectories of cortical regions are heterogeneous.
- Age-specific cortical parcellation is crucial for accurate analysis of infant brain development.
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