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Related Concept Videos

Language Development01:22

Language Development

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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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Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
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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 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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Language01:16

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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.
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Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
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Declarative Learning Mechanisms Support Declarative but Not Probabilistic Feedback-Based Learning in Children with

Asiya Gul1, Lauren S Baron1, Kelsey B Black1

  • 1MGH Institute of Health Professions, Boston, MA 02129, USA.

Brain Sciences
|December 23, 2023
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Summary
This summary is machine-generated.

Children with developmental language disorder (DLD) showed distinct electroencephalogram (EEG) feedback processing patterns during learning tasks. Their brain responses supported learning when dominant brain systems were engaged, unlike typical development (TD) children.

Keywords:
N170declarative learningdevelopmental language disorderevent-related potentialsfeedback-based learningfeedback-related negativityprobabilistic learning

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Cognitive Science

Background:

  • Developmental Language Disorder (DLD) impacts language acquisition and cognitive processing.
  • Feedback-based learning involves distinct neural systems, including the medial temporal lobe (MTL) for declarative learning and the striatum for probabilistic learning.
  • Understanding how children with DLD process feedback is crucial for targeted interventions.

Purpose of the Study:

  • To investigate differences in feedback processing during declarative and probabilistic learning in children with DLD compared to typically developing (TD) children.
  • To examine behavioral and electrophysiological (EEG) responses to feedback in these two learning paradigms.
  • To explore the neural mechanisms underlying learning and feedback processing in DLD.

Main Methods:

  • Participants included 14 children with DLD and 15 TD children (ages 8-12).
  • Children completed visual word-learning (declarative) and probabilistic classification (probabilistic) tasks.
  • Non-invasive scalp EEG recorded brain activity, alongside behavioral measures of accuracy and feedback response.

Main Results:

  • Children with DLD exhibited poorer behavioral performance in both learning tasks.
  • Electrophysiological data revealed task-specific feedback processing differences in the DLD group.
  • In DLD, enhanced N170 (MTL-associated ERP) correlated with better declarative learning; in TD, enhanced N170 during probabilistic learning was linked to poorer performance.

Conclusions:

  • The findings support a 'feedback parity hypothesis' in DLD, where dominant learning systems (MTL/striatum) support feedback processing.
  • Distinct neural processing patterns in DLD suggest compensatory mechanisms or altered learning strategies.
  • These results offer insights into the neurocognitive underpinnings of DLD and inform potential educational strategies.