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Related Concept Videos

Language and Cognition01:27

Language and Cognition

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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.
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Language Development01:22

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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.
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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
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Lateralization01:28

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Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.
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Related Experiment Video

Updated: Sep 16, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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An approach to measuring language-specific brain function in developmental language disorder.

Caroline Larson1, Jason C Crutcher2, Hannah R Thomas2

  • 1Department of Speech, Language, and Hearing Sciences, University of Missouri, Columbia, MO, USA; Interdisciplinary Neuroscience Program, University of Missouri, Columbia, MO, USA.

Acta Psychologica
|July 8, 2025
PubMed
Summary
This summary is machine-generated.

This study used an adaptive fMRI task and Bayesian analysis to investigate brain function in developmental language disorder (DLD). Findings revealed right-hemisphere network differences in DLD, offering new insights into this neurodevelopmental condition.

Keywords:
Brain functionDevelopmental language disorderLanguage

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Linguistics

Background:

  • Characterizing brain function in developmental language disorder (DLD) is challenging due to individual variability in task performance.
  • Existing evidence on brain function in DLD is limited, necessitating refined methodologies.
  • Understanding DLD's neural underpinnings is crucial for informing theoretical and clinical models.

Purpose of the Study:

  • To characterize language-specific brain function in individuals with DLD using an adaptive semantic matching paradigm during fMRI.
  • To employ a Bayesian analytical approach suitable for small clinical samples.
  • To address methodological limitations in previous DLD neuroimaging studies.

Main Methods:

  • An adaptive semantic matching paradigm with word-similarity and symbol-string judgments during fMRI.
  • An adaptive task difficulty adjustment (2-up-1-down staircase) to control for individual performance variability.
  • Bayesian analyses, including model comparison and second-level generalized linear models, were applied to fMRI data from adolescents with DLD (n=5) and neurotypical controls (n=12).

Main Results:

  • Group differences in brain activation were observed in right hemisphere frontal, temporal, and semantic language homologue networks.
  • No reliable differences were found in left hemisphere language networks or in brain lateralization between groups.
  • The adaptive paradigm successfully elicited language-specific function while controlling for task performance variability.

Conclusions:

  • The study introduces an adaptive fMRI paradigm and a robust Bayesian analytical approach for small, heterogeneous clinical samples.
  • These methodological advancements may help differentiate sources of variability in DLD research, such as task performance versus inherent DLD characteristics.
  • Future research employing these methods could yield significant insights into the neurobiology of DLD.