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

Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

3.8K
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
3.8K
Language01:16

Language

913
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
913
Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Components of Language01:24

Components of Language

821
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
821
Language Development01:22

Language Development

912
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
912
Language and Cognition01:27

Language and Cognition

800
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
800

You might also read

Related Articles

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

Sort by
Same author

Key Influencers of Community Ambulation Post-Stroke: Insights from a Mapping Review.

Neurorehabilitation and neural repair·2026
Same author

Comparative Genomics Analysis Reveals the Strain-specific Probiotic Potential and Putative Antimicrobial Peptides of Bifidobacterium breve NCIM 5671.

Current microbiology·2026
Same author

Intrinsic brain network dynamics modulated by neural stimulation to cerebellum.

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

Sleep awake detection from leg-worn wearables using deep sensor fusion.

Scientific reports·2026
Same author

Cognitive biotypes identified through ECG-derived workload and behavioral accuracy.

Scientific reports·2026
Same author

Predicting Post-Stroke Aphasia Speech Performance from Multimodal Data with Explainable Machine Learning.

bioRxiv : the preprint server for biology·2026
Same journal

Another 10 years of PLOS Computational Biology: A data-driven reflection on trends in genomics research.

PLoS computational biology·2026
Same journal

Mobility data resolution needed to inform predictive models of spatial epidemic spread from mobile phone data.

PLoS computational biology·2026
Same journal

DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation.

PLoS computational biology·2026
Same journal

Redefining and estimating the early-phase reproduction ratio for epidemic outbreaks in spatially structured populations.

PLoS computational biology·2026
Same journal

Optimized phenotype definitions boost GWAS power.

PLoS computational biology·2026
Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026
See all related articles

Related Experiment Video

Updated: Feb 3, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.3K

Data-driven brain network models differentiate variability across language tasks.

Kanika Bansal1,2,3, John D Medaglia4,5, Danielle S Bassett6,7,5,8

  • 1Department of Mathematics, University at Buffalo - SUNY, Buffalo, New York, United States of America.

Plos Computational Biology
|October 18, 2018
PubMed
Summary
This summary is machine-generated.

This study models brain connectivity to understand how individual brain structure impacts task performance. Personalized brain network models reveal how structural differences influence brain dynamics and behavior.

More Related Videos

Examining Bilingual Language Control Using the Stroop Task
05:31

Examining Bilingual Language Control Using the Stroop Task

Published on: February 26, 2020

15.6K
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

1.6K

Related Experiment Videos

Last Updated: Feb 3, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.3K
Examining Bilingual Language Control Using the Stroop Task
05:31

Examining Bilingual Language Control Using the Stroop Task

Published on: February 26, 2020

15.6K
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

1.6K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Neuroscience

Background:

  • Understanding the link between human brain structure and function is crucial but complex.
  • The precise influence of anatomical brain organization on task performance remains unclear.

Purpose of the Study:

  • To investigate how individual differences in brain structural connectivity affect human task performance.
  • To explore the functional consequences of natural variations in brain networks using computational modeling.

Main Methods:

  • Constructed personalized brain network models using diffusion spectrum imaging and nonlinear dynamics.
  • Performed computational experiments to measure network excitability and synchronization spread.
  • Related computational findings to individual performance on language tasks before and after transcranial magnetic stimulation.

Main Results:

  • Individual variations in structural connectivity significantly impact local and global brain dynamics.
  • Task performance correlated with functional activity measures, varying with task complexity.
  • The model successfully linked structural differences to behavioral variability.

Conclusions:

  • Computational modeling of brain networks offers insights into individual differences in cognitive tasks.
  • This approach can differentiate the effects of targeted brain stimulation based on cognitive demand.
  • The findings support the development of personalized therapeutic strategies for neurological conditions.