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Lexical decisions in patients with Alzheimer's disease: some notes on automatic versus controlled processing
L S Snyder1, A L Holland, M Forbes
1Department of Communicative Disorders, California State University, Long Beach 90840, USA.
Journal of Communication Disorders
|September 1, 1996
Summary
Alzheimer's disease (AD) patients showed similar real word recognition but struggled with pseudowords and nonwords compared to normally aging (NA) individuals. This suggests early, subtle disruptions in word decoding for AD patients.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Linguistics
Background:
- Alzheimer's disease (AD) is a neurodegenerative disorder impacting cognitive functions.
- Early detection of cognitive deficits in AD is crucial for timely intervention.
- Lexical decision-making tasks are used to assess word processing abilities.
Purpose of the Study:
- To compare lexical decision-making performance between individuals with Alzheimer's disease (AD) and normally aging (NA) individuals.
- To investigate potential subtle disruptions in single-word decoding in early-stage AD.
- To determine if AD affects the processing of real words, pseudowords, and nonwords differently.
Main Methods:
- Recruited age, gender, and education-matched groups of AD patients and NA controls.
- Administered a lexical decision task involving real words, pseudowords, and nonwords.
- Analyzed the accuracy of lexical decisions for each stimulus type.
Main Results:
- AD and NA groups exhibited comparable accuracy for real word stimuli.
- Significant differences in accuracy were observed for pseudoword and nonword stimuli, with AD patients performing less accurately.
- These findings indicate a specific deficit in processing non-lexical or unfamiliar word forms in AD.
Conclusions:
- Alzheimer's disease (AD) may subtly disrupt single-word decoding, particularly for non-real words.
- Lexical decision tasks, especially with pseudowords and nonwords, can reveal early cognitive changes in AD.
- These results highlight the importance of sensitive cognitive assessments for identifying early-stage AD.