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

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,...
Neuroplasticity01:01

Neuroplasticity

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.
Plasticity00:58

Plasticity

Plasticity is the property where an object loses its elasticity and undergoes irreversible deformation, even after the deformation forces are eliminated. If a material deforms irreversibly without increasing stress or load, then this is called ideal plasticity. For example, when a force is applied to an aluminum rod, it changes its shape, but it does not return to its original shape once the force is removed. Plastic deformation or ductility is thus a permanent deformation or change in the...
Revisionist Views of Adolescent and Adult Cognition01:24

Revisionist Views of Adolescent and Adult Cognition

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 themselves.
Piaget's Theory of Cognitive Development from Childhood into Adulthood01:25

Piaget's Theory of Cognitive Development from Childhood into Adulthood

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
Schemata...
Cognitive Development During Adolescence01:18

Cognitive Development During Adolescence

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 recognition that people have...

You might also read

Related Articles

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

Sort by
Same author

Anatomy-informed recommendations for electrode montage and shape in electrical stimulation methods: a tDCS case study.

Journal of neural engineering·2026
Same author

Fast deep learning reconstruction techniques for preclinical magnetic resonance fingerprinting.

NMR in biomedicine·2023
Same author

Feasibility of Remote Unsupervised Cognitive Screening With SATURN in Older Adults.

Journal of applied gerontology : the official journal of the Southern Gerontological Society·2023
Same author

Age-related effects on online and offline learning in visuo-spatial working memory.

Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition·2022
Same author

Publisher Correction to: BRAINSTORMING: A study protocol for a randomised double-blind clinical trial to assess the impact of concurrent brain stimulation (tDCS) and working memory training on cognitive performance in Acquired Brain Injury (ABI).

BMC psychology·2021
Same author

BRAINSTORMING: A study protocol for a randomised double-blind clinical trial to assess the impact of concurrent brain stimulation (tDCS) and working memory training on cognitive performance in Acquired Brain Injury (ABI).

BMC psychology·2020

Related Experiment Video

Updated: Jul 12, 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

Cognitive network plasticity across divergent aging trajectories: an exploratory graph-theoretic study.

Maura Coniglione1, Silvia Figini2, Sara Assecondi3,4

  • 1Department of Mathematics, University of Pavia, Pavia, Italy. maura.coniglione01@universitadipavia.it.

Geroscience
|July 10, 2026
PubMed
Summary

Cognitive network analysis reveals how cognitive training impacts brain plasticity. Computerized training boosted network integration in low performers, while high performers showed altered local network efficiency, indicating personalized brain changes.

Keywords:
Behavioral connectomeCognitive agingCognitive network analysisCognitive trainingGraph theoryIndividual differences

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

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

Related Experiment Videos

Last Updated: Jul 12, 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

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

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Gerontology

Background:

  • Individual differences in cognitive training response hinder personalized neurocognitive health strategies.
  • Understanding cognitive reorganization is crucial for insights into cognitive reserve, resilience, and plasticity.
  • Age-related cognitive decline varies, necessitating research into divergent aging trajectories.

Purpose of the Study:

  • To apply a cognitive network framework to explore changes in cognitive function relationships post-training.
  • To investigate system-level cognitive reorganization as a marker of neuroplasticity.
  • To examine performance-dependent network changes in response to different cognitive interventions.

Main Methods:

  • Secondary analysis of a randomized controlled trial (N=4471) comparing computerized cognitive training (Lumosity) with crossword puzzles.
  • Cognitive networks estimated using partial Spearman correlations among seven cognitive tasks, controlling for covariates.
  • Graph-theoretical metrics quantified changes in network integration and segregation, stratified by baseline performance (low vs. high).

Main Results:

  • Both interventions improved cognitive performance; computerized training yielded larger gains in low-performing individuals.
  • Low-performing participants in the computerized training group showed increased global network integration.
  • High-performing participants exhibited decreased network clustering and local efficiency following training.

Conclusions:

  • Cognitive network metrics capture subtle, performance-dependent plasticity beyond average cognitive gains.
  • System-level reorganization patterns differ between low- and high-performing individuals post-cognitive training.
  • Network-based markers may elucidate heterogeneity in neurocognitive aging and inform cognitive health promotion.