ArticleNeuroImage2016
Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity.
Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Long-term effects of preterm birth on cortical folding trajectories in early childhood.Brain communications · 2026Article
- Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks.Medical image analysis · 2025Article
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- Systematic cortical thickness and curvature patterns in primates.NeuroImage · 2023Article
- Development of cortical folds in the human brain: An attempt to review biological hypotheses, early neuroimaging investigations and functional correlates.Developmental cognitive neuroscience · 2023Review
- Hierarchical particle optimization for cortical shape correspondence in temporal lobe resection.Computers in biology and medicine · 2023Article
- Quantitative Structural Brain Magnetic Resonance Imaging Analyses: Methodological Overview and Application to Rett Syndrome.Frontiers in neuroscience · 2022Review
- Labeling lateral prefrontal sulci using spherical data augmentation and context-aware training.NeuroImage · 2021Article
- Validation of Group-wise Registration for Surface-based Functional MRI Analysis.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Joint cortical surface and structural connectivity analysis of Alzheimer's Disease.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation.PloS one · 2020Article
- Role of deep learning in infant brain MRI analysis.Magnetic resonance imaging · 2019Review
- Hierarchical spherical deformation for cortical surface registration.Medical image analysis · 2019Article
- Challenges in pediatric neuroimaging.NeuroImage · 2019Review
- Computational neuroanatomy of baby brains: A review.NeuroImage · 2019Review
- Three-dimensional ultrasound imaging of fetal brain fissures in the growth restricted fetus.PloS one · 2019Article
- Discovering cortical sulcal folding patterns in neonates using large-scale dataset.Human brain mapping · 2018Article
- A cortical shape-adaptive approach to local gyrification index.Medical image analysis · 2018Article
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Authors and funding
17 authors.
Funding
Abstract
The quantification of local surface morphology in the human cortex is important for examining population differences as well as developmental changes in neurodegenerative or neurodevelopmental disorders. We propose a novel cortical shape measure, referred to as the 'shape complexity index' (SCI), that represents localized shape complexity as the difference between the observed distributions of local surface topology, as quantified by the shape index (SI) measure, to its best fitting simple topological model within a given neighborhood. We apply a relatively small, adaptive geodesic kernel to calculate the SCI. Due to the small size of the kernel, the proposed SCI measure captures fine differences of cortical shape. With this novel cortical feature, we aim to capture comparatively small local surface changes that capture a) the widening versus deepening of sulcal and gyral regions, as well as b) the emergence and development of secondary and tertiary sulci. Current cortical shape measures, such as the gyrification index (GI) or intrinsic curvature measures, investigate the cortical surface at a different scale and are less well suited to capture these particular cortical surface changes. In our experiments, the proposed SCI demonstrates higher complexity in the gyral/sulcal wall regions, lower complexity in wider gyral ridges and lowest complexity in wider sulcal fundus regions. In early postnatal brain development, our experiments show that SCI reveals a pattern of increased cortical shape complexity with age, as well as sexual dimorphisms in the insula, middle cingulate, parieto-occipital sulcal and Broca's regions. Overall, sex differences were greatest at 6months of age and were reduced at 24months, with the difference pattern switching from higher complexity in males at 6months to higher complexity in females at 24months. This is the first study of longitudinal, cortical complexity maturation and sex differences, in the early postnatal period from 6 to 24months of age with fine scale, cortical shape measures. These results provide information that complement previous studies of gyrification index in early brain development.
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