ArticleHuman brain mapping2020
Individual identification and individual variability analysis based on cortical folding features in developing infant singletons and twins.
Article in Human brain mapping, 2020. 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, 40 citations in OpenAlex.
- Cortical folding and thickness characteristics of gray matter in fetuses with non-severe ventriculomegaly.BMC pediatrics · 2026Article
- Genetic insights on the mechanisms of human cortical folding.bioRxiv : the preprint server for biology · 2026Article
- Islands of Inference: A Neurodevelopmental Architecture for Fixed Delusions.Psychopathology · 2026Review
- Connectivity and function are coupled across cognitive domains throughout the brain.Network neuroscience (Cambridge, Mass.) · 2026Article
- Flexible Individualized Developmental Prediction of Infant Cortical Surface Maps via Intensive Triplet Autoencoder.IEEE transactions on medical imaging · 2025Article
- Revealing morphological fingerprints in perinatal brains using quasi-conformal mapping: occurrence and neurodevelopmental implications.Brain imaging and behavior · 2025Article
- Article
- Discovering individual fingerprints in resting-state functional connectivity using deep neural networks.Human brain mapping · 2024Article
- Network controllability of structural connectomes in the neonatal brain.Nature communications · 2023Article
- Role of intracortical neuropil growth in the gyrification of the primate cerebral cortex.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- MRI-based structural covariance network in early human brain development.Frontiers in neuroscience · 2023Article
- Modified MRI Anonymization (De-Facing) for Improved MEG Coregistration.Bioengineering (Basel, Switzerland) · 2022Article
- A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort.NeuroImage · 2022Article
- The developing brain structural and functional connectome fingerprint.Developmental cognitive neuroscience · 2022Article
- Mother-child similarity in brain morphology: A comparison of structural characteristics of the brain's reading network.Developmental cognitive neuroscience · 2022Article
- Existence of Functional Connectome Fingerprint during Infancy and Its Stability over Months.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Structural Brain Imaging Predicts Individual-Level Task Activation Maps Using Deep Learning.Frontiers in neuroimaging · 2022Article
- Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks.Frontiers in artificial intelligence · 2022Article
- The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data.Human brain mapping · 2021Article
- Cortical Thickness and Clinical Findings in Prescholar Children With Autism Spectrum Disorder.Frontiers in neuroscience · 2021Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 6 countries.
Funding
Abstract
Studying the early dynamic development of cortical folding with remarkable individual variability is critical for understanding normal early brain development and related neurodevelopmental disorders. This study focuses on the fingerprinting capability and the individual variability of cortical folding during early brain development. Specifically, we aim to explore (a) whether the developing neonatal cortical folding is unique enough to be considered as a "fingerprint" that can reliably identify an individual within a cohort of infants; (b) which cortical regions manifest more individual variability and thus contribute more for infant identification; (c) whether the infant twins can be distinguished by cortical folding. Hence, for the first time, we conduct infant individual identification and individual variability analysis involving twins based on the developing cortical folding features (mean curvature, average convexity, and sulcal depth) in 472 neonates with 1,141 longitudinal MRI scans. Experimental results show that the infant individual identification achieves 100% accuracy when using the neonatal cortical folding features to predict the identities of 1- and 2-year-olds. Besides, we observe high identification capability in the high-order association cortices (i.e., prefrontal, lateral temporal, and inferior parietal regions) and two unimodal cortices (i.e., precentral gyrus and lateral occipital cortex), which largely overlap with the regions encoding remarkable individual variability in cortical folding during the first 2 years. For twins study, we show that even for monozygotic twins with identical genes and similar developmental environments, their cortical folding features are unique enough for accurate individual identification; and in some high-order association cortices, the differences between monozygotic twin pairs are significantly lower than those between dizygotic twins. This study thus provides important insights into individual identification and individual variability based on cortical folding during infancy.
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