ArticleScientific reports2020
Neurocranium thickness mapping in early childhood.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Towards a radiation free numerical modelling framework to predict spring assisted correction of scaphocephaly.Computer methods in biomechanics and biomedical engineering · 2025Article
- Pediatric Craniofacial Ballistic Injuries.Seminars in plastic surgery · 2025Review
- Computed tomography study of cranial vault thickness in Malaysian subadult population.International journal of legal medicine · 2024Article
- Developmental trajectories of EEG aperiodic and periodic components in children 2-44 months of age.Nature communications · 2024Article
- Developmental trajectories of EEG aperiodic and periodic components: Implications for understanding thalamocortical development during infancy.bioRxiv : the preprint server for biology · 2024Article
- Spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction.Scientific reports · 2023Article
- NEC-NET : Segmentation and Feature Extraction Network for the Neurocranium in Early Childhood.Proceedings of SPIE--the International Society for Optical Engineering · 2022Article
- Data-driven Normative Reference of Pediatric Cranial Bone Development.Plastic and reconstructive surgery. Global open · 2022Article
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
Abstract
The neurocranium changes rapidly in early childhood to accommodate the growing brain. Developmental disorders and environmental factors such as sleep position may lead to abnormal neurocranial maturation. Therefore, it is important to understand how this structure develops, in order to provide a baseline for early detection of anomalies. However, its anatomy has not yet been well studied in early childhood due to the lack of available imaging databases. In hospitals, CT is typically used to image the neurocranium when a pathology is suspected, but the presence of ionizing radiation makes it harder to construct databases of healthy subjects. In this study, instead, we use a dataset of MRI data from healthy normal children in the age range of 6 months to 36 months to study the development of the neurocranium. After extracting its outline from the MRI data, we used a conformal geometry-based analysis pipeline to detect local thickness growth throughout this age span. These changes will help us understand cranial bone development with respect to the brain, as well as detect abnormal variations, which will in turn inform better treatment strategies for implicated disorders.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.