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Updated: May 5, 2026

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
Published on: June 29, 2021
Articulatory rehearsal modulates word frequency effect in working memory tasks
Marlène Abadie1, Manon Rousselle1, Marion Bouffier2
1Centre de Recherche en Psychologie et Neurosciences, Centre National de la Recherche Scientifique, Aix-Marseille Universite.
Articulatory rehearsal, not attentional refreshing, helps working memory recall high-frequency words. This mechanism explains how long-term memory knowledge supports working memory performance, especially with fewer items.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Memory Research
Background:
- Long-term memory (LTM) knowledge enhances working memory (WM) performance.
- The precise mechanisms underlying this LTM-WM interaction are not fully understood.
- Key WM maintenance mechanisms include attentional refreshing and articulatory rehearsal.
Purpose of the Study:
- To investigate the roles of attentional refreshing and articulatory rehearsal in WM.
- To examine how word frequency (ease of retrieval from LTM) interacts with these WM mechanisms.
- To clarify the contribution of articulatory rehearsal to the LTM-WM connection.
Main Methods:
- Brown-Peterson tasks with high- and low-frequency words were used.
- Participants were young adults.
- Manipulations included: number of words (2-6), attentional demand of concurrent tasks (affecting refreshing), and instructions/concurrent articulation (affecting rehearsal).
Main Results:
- The word frequency effect (better recall for high-frequency words) was reduced when articulatory rehearsal was strengthened (vs. suppressed), but only for 3 or fewer words.
- When more than 3 words were maintained, the frequency effect persisted regardless of rehearsal manipulation.
- Attentional refreshing did not moderate the word frequency effect in any condition.
Conclusions:
- Articulatory rehearsal plays a significant role in utilizing LTM knowledge for WM recall.
- This effect is more pronounced when WM load is lower.
- Attentional refreshing is less critical for integrating LTM knowledge into WM performance.
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