Eye-Tracking-Based Stroop Test: Clinical Validation Data for 97 Older Adults

Data Sheet 1 contains results from a study validating a novel eye-tracking-based Stroop test against conventional paper-based tests and other clinical assessments. The dataset includes data from 97 older adults at a memory clinic, with correlations and AUC-ROC values for frontal lobe dysfunction and dementia. Author Sho Yamamoto published the data on figshare under a CC-BY-4.0 license, last updated on 2026-05-04.

Use Cases

• Validate digital cognitive screening tools based on correlation with paper-based Stroop test scores.
• Assess frontal lobe function based on eye-tracking metrics from the novel Stroop test.
• Develop machine learning models for dementia classification based on the reported AUC-ROC performance.
• Compare cognitive assessment efficiency based on the described test-related burdens of conventional methods.

Strengths

• Includes data from 97 older adult participants in a clinical setting.
• Reports specific validation metrics, including a correlation of r=0.634 with the paper-based Stroop test and AUC-ROC values of 0.701 and 0.708.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small in scale at 536.0 KB, indicating limited scope.

Provenance

Source

Sho Yamamoto via figshare.

Collection Method

Clinical study involving 97 older adults at a memory clinic who completed eye-tracking-based and paper-based Stroop tests, MMSE, FAB, and TMT-A/B.

Freshness

Last updated 2026-05-04 05:34:04; freshness should be verified.