Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Aging01:26

Aging

713
Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
713
Drug Dosing: Infants and Children01:29

Drug Dosing: Infants and Children

307
Pediatric patient dosages diverge from adults due to disparities in body surface area, total body water, and extracellular fluid per kilogram of body weight. The dosing regimen considers the variations in pharmacokinetics and pharmacology across distinct age groups, encompassing preterm newborns, infants, young children, older children, and adolescents. Calculation of pediatric patient doses is predicated on determining body surface area, which exhibits a superior correlation with the child's...
307
The Effect of Aging on Tissues01:19

The Effect of Aging on Tissues

3.6K
Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
3.6K
Changes in the Appendicular Skeleton with Age01:09

Changes in the Appendicular Skeleton with Age

3.6K
The upper and lower limb initially develops as a small bulge called a limb bud, which appears on the lateral side of the early embryo. The upper limb bud appears near the end of the fourth week of development, with the lower limb bud appearing shortly after.
Initially, the limb buds consist of a core of mesenchyme covered by a layer of ectoderm. The ectoderm at the end of the limb bud thickens to form a narrow crest called the apical ectodermal ridge. This ridge stimulates the underlying...
3.6K
Pharmacodynamics in Geriatric Patients: Effects of Age01:27

Pharmacodynamics in Geriatric Patients: Effects of Age

239
Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...
239
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Absorption01:22

Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Absorption

711
As individuals age, their body's physiology evolves, affecting drug pharmacokinetics. The most apparent changes occur in the gastrointestinal tract, where an increase in gastric pH, a delay in gastric emptying, and a reduction in gastrointestinal motility are observed. Remarkably, these changes do not substantially modify the absorption of orally administered drugs, particularly those absorbed via passive diffusion.Transdermal drug delivery emerges as a highly viable method for older adults due...
711

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Author Correction: The balance between stability and plasticity of the visual word form area in dyslexia.

Nature communications·2026
Same author

Continuous developmental changes in word recognition and language learning across early childhood.

eLife·2026
Same author

Cortical and white matter myelination proceed in concert during early infancy.

Nature communications·2026
Same author

Compressing neonatal-perinatal medicine fellowship training: a critical appraisal of the American Board of Pediatrics proposed 2-year pathway.

Journal of perinatology : official journal of the California Perinatal Association·2026
Same author

Measuring Children's Early Vocabulary in Low-Resource Languages Using a Swadesh-Style Word List.

Cognitive science·2026
Same author

Quality assessment and control of unprocessed anatomical, functional and diffusion MRI of the human brain using MRIQC.

Nature protocols·2026

Related Experiment Video

Updated: Feb 7, 2026

Development of a Neonatal Piglet Acute Lung Injury Model Recreating the Early Environment of Preterm Infant Lungs
08:58

Development of a Neonatal Piglet Acute Lung Injury Model Recreating the Early Environment of Preterm Infant Lungs

Published on: October 31, 2025

648

Neonatal brain-age models in full- and preterm infants.

Howard Chiu1, Adam C Richie-Halford1,2, Molly F Lazarus2,3

  • 1Graduate School of Education, Stanford University, Stanford, CA, USA.

Biorxiv : the Preprint Server for Biology
|February 6, 2026
PubMed
Summary

Brain-age models accurately predict infant brain age using white matter MRI data. However, the brain-age gap did not correlate with health complications in preterm infants, suggesting limitations for clinical use.

Keywords:
brain developmentbrain-agediffusion imagingneonatalprematuritytractometrywhite matter

More Related Videos

Transcutaneous Microcirculatory Imaging in Preterm Neonates
06:27

Transcutaneous Microcirculatory Imaging in Preterm Neonates

Published on: December 31, 2015

8.5K
Clinical Practice Protocol of Creative Music Therapy for Preterm Infants and Their Parents in the Neonatal Intensive Care Unit
11:50

Clinical Practice Protocol of Creative Music Therapy for Preterm Infants and Their Parents in the Neonatal Intensive Care Unit

Published on: January 7, 2020

27.7K

Related Experiment Videos

Last Updated: Feb 7, 2026

Development of a Neonatal Piglet Acute Lung Injury Model Recreating the Early Environment of Preterm Infant Lungs
08:58

Development of a Neonatal Piglet Acute Lung Injury Model Recreating the Early Environment of Preterm Infant Lungs

Published on: October 31, 2025

648
Transcutaneous Microcirculatory Imaging in Preterm Neonates
06:27

Transcutaneous Microcirculatory Imaging in Preterm Neonates

Published on: December 31, 2015

8.5K
Clinical Practice Protocol of Creative Music Therapy for Preterm Infants and Their Parents in the Neonatal Intensive Care Unit
11:50

Clinical Practice Protocol of Creative Music Therapy for Preterm Infants and Their Parents in the Neonatal Intensive Care Unit

Published on: January 7, 2020

27.7K

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Developmental Biology

Background:

  • Prematurity poses risks to infant brain development and neurodevelopmental outcomes.
  • Current biomarkers for identifying at-risk preterm infants are limited.
  • Accurate assessment of brain maturation in neonates is crucial.

Purpose of the Study:

  • To develop and validate a white matter neonatal brain-age model using diffusion MRI.
  • To assess the model's accuracy in characterizing preterm infant brains.
  • To determine if brain-age prediction can inform infant health beyond clinical measures.

Main Methods:

  • Constructed neonatal brain-age prediction models using diffusion magnetic resonance imaging (dMRI) white matter features.
  • Utilized two datasets: the developing Human Connectome Project (dHCP) and a clinical sample (LPCH).
  • Evaluated model performance and the association of brain-age gap with health complications.

Main Results:

  • White matter features accurately predicted brain-age in both healthy (dHCP) and preterm (LPCH) infants.
  • Prediction accuracy was within 3.9 days for dHCP and 6.6 days for LPCH.
  • The brain-age gap showed no significant association with a composite score of prematurity complications.

Conclusions:

  • Tractometry-derived brain-age models effectively characterize neonatal brain maturation.
  • These models demonstrate accuracy with both research and clinical dMRI data.
  • The brain-age gap's limited sensitivity to clinical complications suggests a need for multimodal biomarkers.