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Development of cortical tissue during infancy is critical for the emergence of typical brain functions in cortex. However, how cortical microstructure develops during infancy remains unknown. We measured the longitudinal development of cortex from birth to six months of age using multimodal quantitative imaging of cortical microstructure. Here we show that infants' cortex undergoes profound microstructural tissue growth during the first six months of human life. Comparison of postnatal to prenatal transcriptomic gene expression data demonstrates that myelination and synaptic processes are dominant contributors to this postnatal microstructural tissue growth. Using visual cortex as a model system, we find hierarchical microstructural growth: higher-level visual areas have less mature tissue at birth than earlier visual areas but grow at faster rates. This overturns the prominent view that visual areas that are most mature at birth develop fastest. Together, in vivo, longitudinal, and quantitative measurements, which we validated with ex vivo transcriptomic data, shed light on the rate, sequence, and biological mechanisms of developing cortical systems during early infancy. Importantly, our findings propose a hypothesis that cortical myelination is a key factor in cortical development during early infancy, which has important implications for diagnosis of neurodevelopmental disorders and delays in infants.
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http://dx.doi.org/10.1038/s42003-021-02706-w | DOI Listing |
BMC Med Educ
September 2025
Department of Prosthodontics, University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany.
Background: Bridge preparation skills are a vital component of dental education and require specific techniques. This study aimed to develop and evaluate 3D printed teeth for use in defect-oriented bridge preparation and pre-prosthetic exercises in dental training, addressing the limited customization and lack of integrated workflows found in commercial typodont teeth. The null hypothesis stated that 3D printed teeth offered no advantage over established typodont training methods for bridge preparation.
View Article and Find Full Text PDFNeuroimage
September 2025
Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland; Advanced Magnetic Imaging Centre, Aalto University School of Science, Espoo, Finland. Electronic address:
Cognitive functions emerge from dynamic functional interplay of cortical and subcortical areas that form networks. Preterm birth poses a risk for the formation and functionality of brain networks which may lead to severe brain dysfunctions. Infants born extremely preterm have the highest risk of developing neurocognitive impairments.
View Article and Find Full Text PDFAdv Emerg Nurs J
September 2025
Author Affiliations: School of Nursing, San Diego State University, San Diego, California (Dr Colio); Advanced Emergency Nursing Journal, Wolters Kluwer Health, Philadelphia, Pennsylvania (Dr Colio); American Academy of Nurse Practitioners Certification Board, Austin, Texas (Dr Colio); Imperial Card
Sudden visual disturbances are of significant concern and often among the most challenging scenarios for emergency providers in underserved communities without on-call ophthalmology services. Vulnerable areas in emergency training vary among nurse practitioners, physician assistants, and even physicians. Urgent and non-urgent ophthalmology disorders are commonly cited in the literature as one of the most challenging areas for emergency providers.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
Faculty of Science, Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, the Netherlands.
Predictive coding (PC) proposes that our brains work as an inference machine, generating an internal model of the world and minimizing predictions errors (i.e., differences between external sensory evidence and internal prediction signals).
View Article and Find Full Text PDFCereb Cortex
August 2025
Section of Brain Function Information, National Institute for Physiological Sciences, 38 Nishigonaka, Myodaiji, Okazaki, Aichi 444-8585, Japan.
This study aimed to identify brain activity modulations associated with different types of visual tracking using advanced functional magnetic resonance imaging techniques developed by the Human Connectome Project (HCP) consortium. Magnetic resonance imaging data were collected from 27 healthy volunteers using a 3-T scanner. During a single run, participants either fixated on a stationary visual target (fixation block) or tracked a smoothly moving or jumping target (smooth or saccadic tracking blocks), alternating across blocks.
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