Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

You might also read

Related Articles

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

Sort by

Same author

Normative volumetric growth modeling of the whole fetal body, placenta, and amniotic fluid for three-dimensional T2-weighted magnetic resonance imaging.

Pediatric radiology·2026

Same author

Exploration of 3D fetal cardiac MRI in the late second trimester.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance·2026

Same author

The contribution of the antenatal period in the development of necrotising enterocolitis.

Early human development·2026

Same author

Neonatal brain structure, cognitively stimulating parenting and behavioural outcomes in preschool children with congenital heart disease and controls.

Scientific reports·2026

Same author

Prenatal air pollution exposure is associated with altered neurodevelopmental outcomes in early childhood.

The Journal of physiology·2026

Same author

Infant subcortical brain volumes associated with maternal obesity and diabetes: a large multicohort human study.

BMC medicine·2026

Same journal

Individualized mapping of functional brain networks in older adulthood.

Imaging neuroscience (Cambridge, Mass.)·2026

Same journal

Is the whole more than the sum of its parts? Considering global and local features of the connectome improves prediction of individuals and phenotypes.

Imaging neuroscience (Cambridge, Mass.)·2026

Same journal

The language network responds robustly to sentences across tasks.

Imaging neuroscience (Cambridge, Mass.)·2026

Same journal

Neighborhood disadvantage and brain myelination: Insights from infancy to childhood.

Imaging neuroscience (Cambridge, Mass.)·2026

Same journal

Meditation and neurofeedback: A systematic scoping review, synthesis, and future directions.

Imaging neuroscience (Cambridge, Mass.)·2026

Same journal

Interactive shape and color representation in visual working memory for colored objects in the human occipitotemporal cortex.

Imaging neuroscience (Cambridge, Mass.)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 11, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

The developing Human Connectome Project fetal functional MRI release: Methods and data structures.

Vyacheslav R Karolis^1,2, Lucilio Cordero-Grande^1,3, Anthony N Price¹

¹Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.

Imaging Neuroscience (Cambridge, Mass.)

|August 13, 2025

Summary

This summary is machine-generated.

This study releases the largest open-access fetal functional MRI dataset, enabling new research into early brain development and connectivity. The data addresses challenges like motion and noise, advancing the field of in utero neuroscience.

Keywords:

dynamic distortion correction fetal fMRI network analysis open-access data resource slice-to-volume motion correction temporal filtering

More Related Videos

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

Related Experiment Videos

Last Updated: Sep 11, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

Area of Science:

Neuroscience
Developmental Neuroscience
Medical Imaging

Background:

Fetal functional MRI (fMRI) offers insights into early brain development.
Progress is limited by a lack of accessible, high-quality fetal fMRI datasets.
Challenges include motion, geometric distortions, and low signal-to-noise ratio in utero.

Purpose of the Study:

To release the largest open-access fetal fMRI dataset to date.
To provide a resource for developing and benchmarking methods for in utero brain imaging analysis.
To facilitate research into the emergence of functional brain connectivity.

Main Methods:

Release of 275 fetal fMRI scans (255 fetuses, 20.86-38.29 weeks).
Systematic pre-processing including multi-band SENSE, distortion correction, slice-to-volume reconstruction, and temporal filtering.
Development of an advanced registration infrastructure for group-level analysis.

Main Results:

The largest open-access fetal fMRI dataset is now available.
A comprehensive pre-processing pipeline tailored for in utero data is presented.
The dataset includes intermediate processing outputs for flexible data exploration.

Conclusions:

This dataset release significantly advances the potential of fetal fMRI research.
It provides a crucial resource for developing robust analysis methods for early brain connectivity.
The findings support the development of a lifelong human connectome.