Objective:

To assess whether linguistic features in paragraph-recall responses can identify cognitive impairment and provide information beyond conventional memory scores.

Approach:

• Participants and measures: Researchers analyzed immediate and delayed Logical Memory recall recordings from 710 Long Life Family Study participants: 598 with normal cognition and 112 with cognitive impairment.
• Analysis: Language features were measured with Linguistic Inquiry and Word Count software. Features associated with cognitive status were combined into immediate- and delayed-recall polyfeature scores and compared with traditional Logical Memory scoring. Follow-up TICS-…

Key Findings:

• Eight immediate-recall and seven delayed-recall linguistic features were associated with cognitive impairment. Patterns included greater use of negations and fewer words in several categories, with differences varying by recall timing.
• With demographic characteristics, the delayed-recall polyfeature score had a precision-recall AUC of 0.77, compared with 0.81 for traditional delayed Logical Memory scoring; the difference was not statistically significant. Combining both linguistic scores wit…
• Linguistic scores were moderately correlated with traditional Logical Memory scores, suggesting overlapping but nonidentical information.
• Among 514 participants with follow-up assessments, higher baseline delayed-recall scores were associated with lower TICS-m performance over follow-up, including after adjustment for traditional Logical Memory scores. The score did not predict a faster rate of …
• In participants with normal cognition at baseline, the association between delayed-recall score and subsequent TICS-m performance was only marginal. Exploratory subtype findings were based on small groups.

Interpretation:

The authors reported that subtle features of verbal responses on a brief episodic-memory assessment were informative for detecting cognitive impairment and predicting cognitive performance over time.

Limitations:

• Traditional Logical Memory scores contributed to cognitive-status classification, while linguistic measures came from the same recall responses, creating potential circularity that may have inflated predictive accuracy.
• Feature selection used the full sample rather than an independent training sample, potentially producing optimistic estimates.
• The language software was not designed for paragraph recall and did not assess syntax, word relationships, or acoustic and temporal speech features.
• Subtype analyses were underpowered; the authors called for replication and validation in more diverse cohorts and clinical samples.

Sources:

• Journal of the International Neuropsychological Society (study details as summarized in the provided context)