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

Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

1.1K
Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
1.1K
Revisionist Views of Adolescent and Adult Cognition01:24

Revisionist Views of Adolescent and Adult Cognition

370
A revisionist approach to Jean Piaget's theory of cognitive development has brought new insights that challenge and reinterpret his established ideas. Piaget proposed that the formal operational stage, emerging in adolescence, represents the culmination of cognitive maturity. During this stage, individuals are said to develop abstract thinking, engage in systematic problem-solving, and show a form of egocentrism, believing others are as preoccupied with their behavior as they are...
370
Neuroplasticity01:01

Neuroplasticity

2.3K
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.
2.3K
Three Developmental Domains01:29

Three Developmental Domains

1.4K
Human development is typically examined across three main domains: physical, cognitive, and socio-emotional. These domains represent the significant areas of change and continuity throughout the lifespan, from infancy to late adulthood.
Physical Development
Physical processes, also known as maturation, encompass the biological changes that occur across an individual's life. These changes begin with genetic inheritance and continue through various stages, including growth in height and weight,...
1.4K
Piaget's Theory of Cognitive Development from Childhood into Adulthood01:25

Piaget's Theory of Cognitive Development from Childhood into Adulthood

2.7K
Jean Piaget's theory of cognitive development emphasizes the role of thinking in a child's learning process, suggesting that children are naturally curious about their environment. His approach to development is discontinuous, proposing that cognitive abilities progress through distinct stages, each with unique characteristics. Central to Piaget's theory is schemata—mental structures that allow individuals to understand and interpret the world.
Schemata: Building Blocks of Knowledge
2.7K
Cognitive Development During Adolescence01:18

Cognitive Development During Adolescence

799
During adolescence, individuals experience significant cognitive development that enhances their understanding of others' emotions and thoughts, known as cognitive empathy. This period is marked by an increased ability to adapt to others' perspectives and a more nuanced understanding of others' mental states, a skill that is foundational for social problem-solving and conflict avoidance. The development of cognitive empathy relies heavily on the theory of mind — the...
799

You might also read

Related Articles

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

Sort by
Same author

Developmental dynamics of symptoms of emotional problems in childhood and adolescence: A longitudinal network analysis.

JCPP advances·2026
Same author

Mapping the genetic architecture of human cortical expansion and its links to neuropsychiatric disorders.

bioRxiv : the preprint server for biology·2026
Same author

Adolescent Hormonal Contraceptive Use in the Context of Brain Development and Depression Risk: A Review and Considerations for Future Research.

Biological psychiatry global open science·2026
Same author

Regional sex differences in human cortical anatomy vary in their morphometric bases and overlap with sex chromosomal and gonadal influences.

Nature communications·2026
Same author

The Effects of Social Media on Adolescent Mental Health: Findings From a Population-Based Cohort Study in Australia.

The Medical journal of Australia·2026
Same author

Gene × sex interactions on cognition in the Philadelphia neurodevelopmental cohort.

Biology of sex differences·2026

Related Experiment Video

Updated: Mar 17, 2026

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

10.6K

Structural brain development between childhood and adulthood: Convergence across four longitudinal samples.

Kathryn L Mills1, Anne-Lise Goddings2, Megan M Herting3

  • 1Department of Psychology, University of Oregon, Eugene, OR, USA; Center for Translational Neuroscience, University of Oregon, Eugene, OR, USA.

Neuroimage
|July 26, 2016
PubMed
Summary

This study models human brain development from childhood to adulthood using MRI data from four diverse samples. It reveals distinct trajectories for grey and white matter volumes and how brain size influences these patterns.

Keywords:
AdolescenceCerebral cortexMRIReplicationSex differencesWhite matter

More Related Videos

Author Spotlight: A Lightweight Drive Implant for Chronic Tetrode Recordings in Juvenile Mice
06:34

Author Spotlight: A Lightweight Drive Implant for Chronic Tetrode Recordings in Juvenile Mice

Published on: June 2, 2023

3.7K
A Comparative Approach for Quantitative Cell Counting Studies in Widely Different Mammalian Brains
07:14

A Comparative Approach for Quantitative Cell Counting Studies in Widely Different Mammalian Brains

Published on: January 16, 2026

313

Related Experiment Videos

Last Updated: Mar 17, 2026

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

10.6K
Author Spotlight: A Lightweight Drive Implant for Chronic Tetrode Recordings in Juvenile Mice
06:34

Author Spotlight: A Lightweight Drive Implant for Chronic Tetrode Recordings in Juvenile Mice

Published on: June 2, 2023

3.7K
A Comparative Approach for Quantitative Cell Counting Studies in Widely Different Mammalian Brains
07:14

A Comparative Approach for Quantitative Cell Counting Studies in Widely Different Mammalian Brains

Published on: January 16, 2026

313

Area of Science:

  • Neuroscience
  • Developmental Biology
  • Biomedical Imaging

Background:

  • Longitudinal magnetic resonance imaging (MRI) studies are vital for understanding human brain development and neurodevelopmental disorders.
  • Existing models of brain development show inconsistencies, particularly regarding cortical grey matter volume (CGMV) and cerebral white matter volume (CWMV) trajectories.
  • Addressing sample comparability issues requires comprehensive studies across diverse populations.

Purpose of the Study:

  • To develop replicable models of gross structural brain development in individuals aged 8-30 years.
  • To investigate the impact of accounting for global cranial and brain size on developmental trajectories.
  • To enhance understanding of brain changes during adolescence and inform statistical control methods.

Main Methods:

  • Analysis of four separate longitudinal datasets comprising 391 participants and 852 MRI scans.
  • Development of population models for brain structure changes from childhood to adulthood.
  • Examination of the influence of intracranial volume (ICV) and whole brain volume (WBV) on regional brain development models.

Main Results:

  • Intracranial volume (ICV) and whole brain volume (WBV) show continued development through adolescence with distinct trajectories.
  • Cortical grey matter volume (CGMV) peaks in childhood, decreasing through the second and third decades, while cerebral white matter volume (CWMV) increases until mid-adolescence before decelerating.
  • Accounting for cranial/brain size significantly affects models of regional brain development, especially concerning sex differences.

Conclusions:

  • The study provides robust models of brain development in adolescence, increasing confidence in existing knowledge.
  • Findings reduce concerns about discrepancies across different study samples.
  • Recommendations are provided for best practices in statistical control of cranial and brain size in future research.