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

Oxygen Requirements and Growth Patterns01:29

Oxygen Requirements and Growth Patterns

1.4K
Microorganisms exhibit diverse oxygen requirements and growth patterns driven by their metabolic strategies and environmental adaptations. Oxygen, while essential for many organisms, can also be toxic under certain conditions, shaping how microorganisms grow and survive.Oxygen Requirements of MicroorganismsMicroorganisms are classified based on their ability to use or tolerate oxygen:● Obligate aerobes like Mycobacterium tuberculosis need oxygen for energy production, as it serves as the...
1.4K
Fetal Circulation01:14

Fetal Circulation

3.0K
Fetal circulation is a unique system that facilitates the exchange of gases, nutrients, and waste products between the developing fetus and the mother. This intricate process takes place through a special organ called the placenta.
Two umbilical arteries transport blood from the fetus to the placenta. At the placenta, the blood absorbs oxygen and nutrients while simultaneously eliminating waste products. This oxygen-enriched and nutrient-rich blood then returns to the fetus through one...
3.0K
Fixed Action Patterns01:06

Fixed Action Patterns

17.7K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
17.7K
Population Growth00:57

Population Growth

28.6K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
28.6K
Patterns of Fever01:26

Patterns of Fever

3.9K
Before understanding the types and patterns of fever, it is essential to know its phases.
3.9K
Meristems and Plant Growth02:36

Meristems and Plant Growth

49.5K
Plants grow throughout their lives; this is called indeterminate growth, and it distinguishes plants from most animals. Although certain parts of plants stop growing (e.g., leaves and flowers), others grow continuously—like roots and stems.
49.5K

You might also read

Related Articles

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

Sort by
Same author

MonoRelief V2: Leveraging Real Data for High-Fidelity Monocular Relief Recovery.

IEEE transactions on visualization and computer graphics·2026
Same author

Genome-wide identification of the HvSCAMP gene family in barley and functional characterization of the role of HvSCAMP1 in salt tolerance.

BMC plant biology·2026
Same author

HDFLStyler: Hierarchical domain-invariant feature learning for source-free domain generalization.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Common Pattern Prior-Driven Semi-Supervised Medical Image Segmentation.

IEEE transactions on medical imaging·2026
Same author

Joint Shape Reconstruction and Registration via a Shared Hybrid Diffeomorphic Flow.

IEEE transactions on medical imaging·2025
Same author

TD-HCN: A trend-driven hypergraph convolutional network for stock return prediction.

Neural networks : the official journal of the International Neural Network Society·2025
Same journal

LEARNABLE HIERARCHICAL VISUAL CONTEXTS FOR TUMOR SEGMENTATION IN COMPUTED TOMOGRAPHY IMAGES.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
Same journal

DUAL CROSS-ATTENTION SIAMESE TRANSFORMER FOR RECTAL TUMOR REGROWTH ASSESSMENT IN WATCH-AND-WAIT ENDOSCOPY.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
Same journal

LUMEN: LONGITUDINAL MULTI-MODAL RADIOLOGY MODEL FOR PROGNOSIS AND DIAGNOSIS.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
Same journal

OVERVIEW OF THE CXR-LT 2026 CHALLENGE: MULTI-CENTER LONG-TAILED AND ZERO SHOT CHEST X-RAY CLASSIFICATION.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
Same journal

CROSS-MODAL FINE-TUNING OF 3D CONVOLUTIONAL FOUNDATION MODELS FOR ADHD CLASSIFICATION WITH LOW-RANK ADAPTATION.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
Same journal

AN IN SILICO STUDY OF LOW-INTENSITY FOCUSED ULTRASOUND DISPLACEMENT MAPPING WITH A 220 KHZ CLINICAL PHASED-ARRAY TRANSDUCER.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
See all related articles

Related Experiment Video

Updated: Feb 2, 2026

Generation of Neural Stem Cells from Discarded Human Fetal Cortical Tissue
07:29

Generation of Neural Stem Cells from Discarded Human Fetal Cortical Tissue

Published on: May 25, 2011

15.9K

FETAL CORTICAL PARCELLATION BASED ON GROWTH PATTERNS.

Jing Xia1,2, Caiming Zhang1, Fan Wang2

  • 1Department of Computer Science and Technology, Shandong University, Shandong, China.

Proceedings. IEEE International Symposium on Biomedical Imaging
|November 13, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for mapping fetal brain regions based on growth patterns. This approach accurately defines distinct cortical areas during development, crucial for understanding brain structure and function.

Keywords:
Fetalcortical parcellationgrowth patterns

More Related Videos

Fetal Echocardiography and Pulsed-wave Doppler Ultrasound in a Rabbit Model of Intrauterine Growth Restriction
14:19

Fetal Echocardiography and Pulsed-wave Doppler Ultrasound in a Rabbit Model of Intrauterine Growth Restriction

Published on: June 29, 2013

28.7K
Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

6.4K

Related Experiment Videos

Last Updated: Feb 2, 2026

Generation of Neural Stem Cells from Discarded Human Fetal Cortical Tissue
07:29

Generation of Neural Stem Cells from Discarded Human Fetal Cortical Tissue

Published on: May 25, 2011

15.9K
Fetal Echocardiography and Pulsed-wave Doppler Ultrasound in a Rabbit Model of Intrauterine Growth Restriction
14:19

Fetal Echocardiography and Pulsed-wave Doppler Ultrasound in a Rabbit Model of Intrauterine Growth Restriction

Published on: June 29, 2013

28.7K
Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

6.4K

Area of Science:

  • Developmental Neuroscience
  • Neuroimaging
  • Computational Biology

Background:

  • Accurate parcellation of the human cerebral cortex is vital for neuroimaging research.
  • Existing adult cortical atlases are unsuitable for fetal studies due to significant developmental differences in brain size, shape, and folding.
  • Fetal brain growth is dynamic, necessitating specialized methods for regional definition.

Purpose of the Study:

  • To develop a novel method for dividing fetal cortical surfaces into distinct regions.
  • To leverage dynamic growth patterns of cortical properties to define regions reflecting developmental, microstructural, and functional changes.
  • To create biologically meaningful parcellations for fetal brain development studies.

Main Methods:

  • Construction of two complementary similarity matrices based on vertex growth trajectories and their correlation profiles.
  • Nonlinear fusion of the similarity matrices to capture comprehensive information.
  • Application of spectral clustering on the fused similarity matrix to parcellate fetal cortical surfaces.

Main Results:

  • The proposed method successfully generated distinct and biologically meaningful parcellations of fetal cortical surfaces.
  • The approach was validated on 25 normal fetuses between 26 and 29 gestational weeks.
  • The method effectively utilizes dynamic growth patterns to define regions.

Conclusions:

  • The novel method provides an accurate and reliable approach for parcellating the developing fetal brain.
  • This technique addresses the limitations of adult-based atlases in fetal neuroimaging.
  • The generated parcellations offer valuable insights into fetal brain development, microstructure, and function.