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

Triarchic Theory of Intelligence01:24

Triarchic Theory of Intelligence

10.5K
Robert Sternberg's triarchic theory of intelligence posits that intelligence is composed of three distinct but interrelated components: analytical, creative, and practical intelligence.
10.5K
Cattell's Theory of Intelligence01:25

Cattell's Theory of Intelligence

8.5K
Raymond Cattell, along with John Horn, made significant contributions to our understanding of intelligence by distinguishing between two types: fluid intelligence and crystallized intelligence.
Fluid intelligence involves the capacity to solve new problems and adapt to unfamiliar situations. It's the type of intelligence individuals use when they encounter a novel problem or puzzle that requires innovative thinking. For instance, figuring out how to operate a new gadget relies heavily on...
8.5K
Biological Influences on Intelligence01:30

Biological Influences on Intelligence

641
Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter...
641
Measures of Intelligence01:29

Measures of Intelligence

8.8K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
8.8K
Intelligence01:27

Intelligence

9.0K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
9.0K
Environmental Influences on Intelligence01:29

Environmental Influences on Intelligence

1.1K
Despite the strong genetic influence on traits like intelligence, environmental factors significantly shape outcomes. For example, while over 90% of height variation is due to genetic differences, environmental factors such as nutrition also have a notable impact. Similarly, for intelligence, changes in a child's surroundings can significantly alter their IQ. Research shows that enriched environments boost children's academic success and help them develop key cognitive skills. Children...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Multiscale characterization of the human claustrum from histology to MRI.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

CIVET-Chimp: An automated pipeline for MRI-based cortical surface extraction in chimpanzees.

Neuroimage. Reports·2026
Same author

Organization, fine structure, and stereotaxic maps of the human Bed nucleus of the Stria terminalis.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Comprehensive large-scale analyses reveal association between brain structure and cognitive ability during adolescence.

Communications biology·2026
Same author

Bias in Structural MRI Correlates of Delay Discounting due to Head Motion.

Human brain mapping·2026
Same author

The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review.

Clinical rehabilitation·2026

Related Experiment Video

Updated: Mar 16, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.4K

Imaging structural covariance in the development of intelligence.

Budhachandra S Khundrakpam1, John D Lewis1, Andrew Reid2

  • 1McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada.

Neuroimage
|August 25, 2016
PubMed
Summary

Higher verbal intelligence in children is linked to distinct brain structural covariance patterns. These differences involve widespread cortical regions and suggest a more efficient brain organization in verbally intelligent individuals.

Keywords:
Cognitive developmentCortical thicknessNeuroimagingStructural covariance networkVerbal and performance intelligence

More Related Videos

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
05:59

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

Published on: October 6, 2023

3.5K
Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.4K

Related Experiment Videos

Last Updated: Mar 16, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.4K
Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
05:59

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

Published on: October 6, 2023

3.5K
Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.4K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Developmental Psychology

Background:

  • Verbal and non-verbal intelligence are highly correlated, making neural substrate differentiation challenging.
  • Recent research indicates dissociation is possible, with identified focal cortical regions for each intelligence type.
  • The structural covariance patterns associated with verbal and non-verbal intelligence remain largely unexplored.

Purpose of the Study:

  • To investigate the patterns of structural covariance networks (SCNs) related to verbal and non-verbal intelligence in children.
  • To explore differences in brain network topology between low- and high-intelligence groups.

Main Methods:

  • Utilized 586 longitudinal anatomical MRI scans from subjects aged 6-18 years.
  • Administered the Wechsler Abbreviated Scale of Intelligence for concurrent IQ testing.
  • Constructed SCNs based on interregional cortical thickness correlations for low- and high-IQ groups.

Main Results:

  • Higher Verbal IQ (VIQ) groups exhibited constrained anatomical coupling and a shift towards optimal topological organization (higher global efficiency and modularity, lower local efficiency).
  • Increased involvement of left-hemispheric language regions (inferior frontal and superior temporal gyri) was observed in high-VIQ individuals.
  • No significant differences in anatomical coupling or network topology were found for Performance IQ (PIQ) groups.

Conclusions:

  • Individuals with higher verbal intelligence demonstrate structural brain differences beyond localized regions, including altered patterns of anatomical coupling.
  • These findings suggest a system-level reorganization in the brain associated with enhanced verbal intelligence, potentially leading to greater efficiency.