Visual Processing Temporal Features in Subjective Cognitive Decline

Raw trial-level data from a study on altered visual processing in subjective cognitive decline, currently under review in Neuropsychology. The dataset includes signal-to-noise ratios for target letters across 24 image frames, response accuracy, and the list of 600 five-letter words used. Files are provided in .mat and .txt formats, with additional clinical test and questionnaire data.

Use Cases

• Modeling the temporal dynamics of visual word recognition based on signal-to-noise ratios across 24 frames.
• Analyzing the relationship between response accuracy and clinical test scores for cognitive assessment.
• Training classifiers to detect patterns associated with subjective cognitive decline using trial-level features.
• Benchmarking psychophysical models of letter identification under noise conditions.

Strengths

• Includes raw trial-level data for all participants, providing granularity for analysis.
• Covers 600 distinct five-letter words as experimental targets.
• Data is available in both Matlab (.mat) and tab-delimited text (.txt) formats for accessibility.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Borealis Harvested Dataverse

Collection Method

Experimental data from a visual processing task, combined with clinical tests and questionnaires.

Time Range

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Freshness

Last updated 2026-04-25 04:16:35; freshness should be verified.

Geography

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