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

The Nativist Approach

The Nativist Approach

The nativist approach to infant cognitive development proposes that infants are born with inherent knowledge structures that allow them to interpret the world almost immediately. This perspective contrasts with earlier developmental theories, such as those proposed by Jean Piaget, which emphasized a more gradual acquisition of cognitive abilities through interaction with the environment. One key concept in this approach is object permanence — the understanding that objects continue to...

You might also read

Related Articles

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

Sort by

Same author

The evidence base of interventions to treat antenatal depression: a meta-analysis of randomized controlled trials.

Archives of women's mental health·2026

Same author

Maternal health behavior during pregnancy mediates the relationship between maternal stress and newborn telomere length.

Brain, behavior, & immunity - health·2026

Same author

Perceived Stress During Pregnancy and Offspring Attention-Deficit/Hyperactivity Disorder: Findings From the ECHO Cohort Study.

JAACAP open·2026

Same author

When services start: A pilot study of parent perspectives on early intervention timing for very preterm infants.

Early human development·2026

Same author

Executive function and implications for the Preterm Behavioral Phenotype in very preterm children at age 9-10 years.

Journal of neurodevelopmental disorders·2026

Same author

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

Pediatrics·2026

Same journal

Measurement prediction and power analysis for fNIRS and DOT.

Imaging neuroscience (Cambridge, Mass.)·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

See all related articles

Search research articles

Related Experiment Video

Updated: May 5, 2026

Functional Mapping with Simultaneous MEG and EEG

Functional Mapping with Simultaneous MEG and EEG

Published on: June 14, 2010

Towards personalized precision functional mapping in infancy.

Lucille A Moore¹, Robert J M Hermosillo¹, Eric Feczko^1,2

¹Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, United States.

Imaging Neuroscience (Cambridge, Mass.)

|March 14, 2025

Summary

This summary is machine-generated.

Researchers mapped individual brain networks in infants using resting-state functional MRI (fMRI). This method reveals unique brain connectivity patterns in newborns, crucial for personalized infant brain mapping and predicting developmental outcomes.

Keywords:

brain development infants precision network mapping resting-state fMRI resting-state functional brain networks template matching

More Related Videos

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain

Published on: July 1, 2019

Related Experiment Videos

Last Updated: May 5, 2026

Functional Mapping with Simultaneous MEG and EEG

Functional Mapping with Simultaneous MEG and EEG

Published on: June 14, 2010

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain

Published on: July 1, 2019

Area of Science:

Neuroscience
Developmental Neuroscience
Brain Imaging

Background:

Individual brain functional network topology is highly specific and changes during development.
Acquiring high-quality resting-state functional MRI (fMRI) data in infants is challenging but essential for studying individual differences.
Understanding early brain development is critical for predicting behavioral and health outcomes.

Purpose of the Study:

To develop and validate a method for individualized functional resting-state network mapping in neonates.
To assess the individual specificity of brain network topology in early infancy.
To determine the data requirements for stable infant functional network maps.

Main Methods:

Utilized template matching with generated infant network templates as priors.
Applied the method to two independent neonatal resting-state fMRI datasets.
Analyzed the topology and individual specificity of detected resting-state networks.

Main Results:

Template matching successfully identified major adult resting-state networks in individual infants.
Functional network maps demonstrated individual-specific topology in neonates.
Network map similarity did not plateau even with 25 minutes of data, indicating higher data needs than in adults.

Conclusions:

Individualized functional brain mapping in infants is feasible using template matching with resting-state fMRI.
Early functional connectivity patterns are individual-specific, offering potential for personalized medicine.
Further research is needed to optimize data acquisition for high-precision infant brain mapping.