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 Adolescence01:18

Cognitive Development During Adolescence

886
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...
886
Revisionist Views of Adolescent and Adult Cognition01:24

Revisionist Views of Adolescent and Adult Cognition

408
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...
408
Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

1.2K
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,...
1.2K
Neuroplasticity01:01

Neuroplasticity

2.6K
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.
2.6K
Erikson's Theory on Socioemotional Development during Adolescence01:17

Erikson's Theory on Socioemotional Development during Adolescence

1.9K
Erik Erikson's fifth stage of psychosocial development, "identity versus role confusion," is crucial during adolescence (ages 12 to 18). In this stage, adolescents face the developmental task of forging a distinct personal identity, a process influenced by social, psychological, and biological changes typical of this period. Adolescents naturally explore different roles, behaviors, and ideologies as they navigate complex questions of self-concept, asking, "Who am I?" and "What is my place in...
1.9K
Emerging Adulthood01:27

Emerging Adulthood

1.0K
Jeffrey Arnett's concept of emerging adulthood offers a framework to understand the unique developmental stage between adolescence and full-fledged adulthood, generally from ages 18 to 25. This period is marked by extensive exploration and shifts in identity, relationships, and career choices, a process known in psychology as role experimentation. Emerging adulthood reflects the evolving cultural expectations surrounding adulthood and the dynamic process of personal transformation during...
1.0K

You might also read

Related Articles

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

Sort by
Same author

Complex affect dynamics offer limited incremental value for cross-sectional prediction of psychological and behavioural variables in cross-validated models.

BMC medicine·2026
Same author

Competing programs shape cortical sensorimotor-association axis development.

Nature·2026
Same author

Cumulative timing-dependent changes in corticospinal excitability during suprathreshold paired-pulse transcranial magnetic stimulation.

Scientific reports·2026
Same author

Geometric constraints on the architecture of mammalian cortical connectomes.

Cell·2026
Same author

Multiscale heterogeneity of atypical functional connectivity in autism.

Nature. Mental health·2026
Same author

Geometric brain signatures of Alzheimer's disease progression and subtypes.

medRxiv : the preprint server for health sciences·2026

Related Experiment Video

Updated: Apr 9, 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

Developmental Changes in Brain Network Hub Connectivity in Late Adolescence.

Simon T E Baker1, Dan I Lubman2, Murat Yücel3

  • 1Turning Point, Eastern Health and Eastern Health Clinical School, Monash University, Victoria 3065, Australia, Monash Clinical and Imaging Neuroscience, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Victoria 3168, Australia, Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Victoria 3053, Australia.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|June 19, 2015
PubMed
Summary

Brain connectivity refines during adolescence. This study reveals selective remodeling of hub connections, with frontal regions becoming more prominent, impacting brain development in young adults.

Keywords:
MRIadolescenceconnectomedevelopmentgraph theorystructural connectivity

More Related Videos

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

1.7K
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

26.0K

Related Experiment Videos

Last Updated: Apr 9, 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
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

1.7K
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

26.0K

Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Brain Imaging

Background:

  • Adolescence and early adulthood involve significant brain maturation.
  • This includes refining connectivity between key brain regions (hubs).
  • A dense core of hubs integrates specialized neural systems.

Purpose of the Study:

  • To map developmental changes in brain connectivity.
  • To investigate structural connectivity changes over two years in adolescents.
  • To analyze alterations in hub connectivity and brain network organization.

Main Methods:

  • Longitudinal diffusion magnetic resonance imaging (dMRI).
  • Analysis of structural connectivity between 80 cortical and subcortical regions.
  • Connectome-wide analysis in 31 adolescents (ages 15-19).

Main Results:

  • A small percentage of connections showed significant developmental changes (8% decreased, 6% increased).
  • These connections involved a large majority of the 80 brain regions studied.
  • Hub connectivity showed distinct developmental patterns: decreased subcortical hub connections, increased frontal-subcortical and frontal-parietal hub connections.

Conclusions:

  • Late adolescence features selective remodeling of hub-hub connectivity.
  • Brain network organization shifts emphasis from subcortical to frontal hubs.
  • This remodeling highlights a significant, distributed pattern of brain development.