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

Neuroplasticity01:01

Neuroplasticity

302
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
302
Functional Brain Systems: Limbic System01:15

Functional Brain Systems: Limbic System

2.3K
The limbic system, often called the "emotional brain," is a complex set of structures located deep within the brain. The intricate network of the limbic system supports a wide range of psychological functions, from emotional regulation to memory formation and sensory processing. This functional brain region encompasses specific parts of the diencephalon and the cerebrum, integrating the higher mental functions of the cerebral cortex with the primitive emotional responses of the deep...
2.3K
Cerebrum: Anatomical Overview II01:11

Cerebrum: Anatomical Overview II

1.5K
Each cerebral hemisphere can be divided into three main regions. The outermost region, the cerebral cortex, is a thin layer (2 to 4 millimeters thick) made up of gray matter, consisting of neuron cell bodies, dendrites, glial cells, and blood vessels. The middle region, or white matter, is primarily composed of myelinated nerve fibers organized into three types of large tracts: association fibers, commissures, and projection fibers. Association fibers connect different areas within the same...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Targeting TARDBP to Restore Colonic Barrier Integrity in Ulcerative Colitis via NFATC1 mRNA Destabilization.

The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology·2026
Same author

Home Observation for Measurement of the Environment: Collecting Data Virtually.

Clinical pediatrics·2026
Same author

Prognostic heterogeneity in ASXL1-mutated AML and refinement by an immunophenotype-based score.

Frontiers in oncology·2026
Same author

Prenatal Substance Exposure and Birth Weight: Findings From the HEALthy Brain and Child Development Study.

Pediatrics·2026
Same author

Serum trace and heavy metal exposure and IVF/ICSI outcomes: modifying effects of maternal diet in a prospective cohort.

Reproductive biology and endocrinology : RB&E·2026
Same author

Effects of dietary rumen-degradable protein on growth performance, nitrogen metabolism, and rumen microbiome in dairy buffalo heifers.

Frontiers in veterinary science·2026

Related Experiment Video

Updated: Jun 8, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.2K

White matter functional networks in the developing brain.

Yali Huang1, Charles M Glasier1,2, Xiaoxu Na1

  • 1Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.

Frontiers in Neuroscience
|November 7, 2024
PubMed
Summary
This summary is machine-generated.

Brain white matter functional networks show significant developmental changes from neonates to 8-year-olds, with altered connectivity and higher high-frequency energy in older children, reflecting brain development.

Keywords:
RS-fMRIbrain developmentfALFFfunctional connectivitywhite matter

More Related Videos

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.1K
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

998

Related Experiment Videos

Last Updated: Jun 8, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.2K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.1K
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

998

Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Brain Imaging

Background:

  • Functional magnetic resonance imaging (fMRI) reveals dynamic changes in gray matter networks during childhood cognitive development.
  • White matter functional networks, though less studied due to weaker signals, are crucial for understanding brain maturation.
  • Previous research has not fully characterized white matter network changes in the developing brain.

Purpose of the Study:

  • To investigate and compare white matter functional networks in neonates and 8-year-old children.
  • To identify developmental differences in white matter network characteristics.
  • To correlate findings with gray matter network development.

Main Methods:

  • Acquired resting-state fMRI data from neonates and 8-year-olds using a standardized protocol.
  • Employed Independent Component Analysis (ICA) to extract white matter functional networks.
  • Analyzed intra-network and inter-network functional connectivity (FC) and fractional amplitude of low-frequency fluctuation (fALFF).

Main Results:

  • White matter functional networks are reliably depicted in both neonates and 8-year-olds.
  • 8-year-olds exhibited lower intra-network FC in key tracts (optic radiations, corticospinal tract) and higher inter-network FC (CP-ACR) compared to neonates.
  • Older children showed increased high-frequency energy distribution (0.01-0.15 Hz) in white matter networks.

Conclusions:

  • Significant developmental shifts occur in white matter functional networks between infancy and childhood.
  • These changes, including altered FC and frequency distribution, indicate functional differentiation and integration during brain development.
  • Findings in white matter networks mirror developmental changes observed in gray matter networks.