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Updated: Feb 5, 2026

Transcranial Direct Current Stimulation tDCS of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition
Published on: July 13, 2019
Cortical tracking of constituent structure in language acquisition
Heidi Getz1, Nai Ding2, Elissa L Newport1
1Center for Brain Plasticity and Recovery, Department of Neurology, Georgetown University, Building D Suite 154, 4000 Reservoir Road NW, Washington, DC 20057, USA.
The brain tracks linguistic structures at multiple levels simultaneously. Neural tracking of phrases develops as individuals acquire mental representations of phrase structure.
Area of Science:
- Neuroscience
- Psycholinguistics
- Cognitive Science
Background:
- Linguistic units, such as words and phrases, are hierarchically organized.
- Previous research indicates the brain simultaneously tracks these hierarchical linguistic units.
- Understanding how the brain acquires and processes structural linguistic knowledge is crucial.
Purpose of the Study:
- To investigate how neural tracking of linguistic structures emerges with the acquisition of phrase structure knowledge.
- To determine the relationship between behavioral measures of phrase structure representation and neural tracking.
Main Methods:
- Magnetoencephalography (MEG) was used to record brain activity.
- Participants listened to a miniature artificial language with distributional cues for phrase structure or a control language.
- Behavioral measures assessed the formation of mental representations of phrase structure.
Main Results:
- Neural tracking of phrases emerged rapidly in participants exposed to the language with phrase structure cues.
- This neural tracking was observed only when participants behaviorally demonstrated the formation of mental representations of phrase structure.
- No significant phrase-level tracking was found in the control condition.
Conclusions:
- The brain's ability to neurally track linguistic phrases is dependent on the acquisition of abstract mental representations of phrase structure.
- This study illuminates the neural mechanisms underlying the acquisition and processing of hierarchical linguistic information.
- Findings suggest that explicit learning of structural regularities drives the development of neural representations for language processing.
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