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

Brain Imaging01:14

Brain Imaging

662
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
662

You might also read

Related Articles

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

Sort by
Same author

Disrupted functional connectivity during stroke recovery revealed via bedside optical neuroimaging.

Neurophotonics·2026
Same author

Individual patterns of functional connectivity in neonates as revealed by surface-based Bayesian modeling.

Imaging neuroscience (Cambridge, Mass.)·2025
Same author

Individual patterns of functional connectivity in neonates as revealed by surface-based Bayesian modeling.

bioRxiv : the preprint server for biology·2024
Same author

Functional Connectivity in Infancy and Toddlerhood Predicts Long-Term Language and Preliteracy Outcomes.

Cerebral cortex (New York, N.Y. : 1991)·2021
Same author

Global motion detection and censoring in high-density diffuse optical tomography.

Human brain mapping·2020
Same author

Abnormalities in cerebral hemodynamics and changes with surgical intervention in neonates with congenital heart disease.

The Journal of thoracic and cardiovascular surgery·2019

Related Experiment Video

Updated: Jan 14, 2026

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

2.5K

Tracking functional brain networks in preterm and term infants using precision mapping.

Diego Derman1, Silvina L Ferradal1

  • 1Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.

Developmental Cognitive Neuroscience
|October 18, 2025
PubMed
Summary

Individualized mapping of resting-state networks (RSNs) in neonates reveals distinct brain development trajectories. Higher-order networks, like the default mode network (DMN), show promise as early biomarkers for neurodevelopmental outcomes.

Keywords:
FMRIFunctional connectivityIndividualizationPrecision functional mappingPremature birth

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.5K
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.7K

Related Experiment Videos

Last Updated: Jan 14, 2026

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

2.5K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.5K
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.7K

Area of Science:

  • Neuroscience
  • Developmental Biology
  • Medical Imaging

Background:

  • Preterm birth is a significant risk factor for neurodevelopmental disabilities.
  • Current neurobehavioral assessments and structural imaging lack predictive power for long-term outcomes.
  • There is a critical need for sensitive biomarkers reflecting early brain organization.

Purpose of the Study:

  • To investigate the utility of individualized resting-state networks (RSNs) as early biomarkers of neurodevelopmental outcomes in neonates.
  • To characterize the developmental trajectories of RSNs in term and preterm infants.
  • To compare RSN organization between preterm and term-born neonates.

Main Methods:

  • Utilized a precision mapping approach to estimate individual RSNs in a large cohort of neonates.
  • Analyzed resting-state functional connectivity data from the developing Human Connectome Project.
  • Employed longitudinal analysis for a subset of preterm infants to track development post-birth.

Main Results:

  • RSN connectivity strength increased linearly with age at scan.
  • Primary sensory networks matured earlier than higher-order association networks, including the default mode network (DMN).
  • Preterm infants exhibited immature RSN organization compared to term-born infants, with the DMN showing significant developmental differences.

Conclusions:

  • Individualized RSN mapping effectively captures heterogeneous neonatal brain development.
  • Higher-order association networks, particularly the DMN, serve as promising early markers for monitoring neurodevelopmental trajectories.
  • Preterm infants do not achieve term-born infant connectivity levels by term-equivalent age, indicating persistent developmental differences.