ADNI-1 Brain Structure Data for 731 Participants with Mild Cognitive Impairment Subtyping

Baseline data from 731 participants in the ADNI-1 study, including 205 cognitively normal individuals, 351 with mild cognitive impairment (MCI), and 175 with Alzheimer's disease. The dataset, created by Xiaoming Yang and last updated in April 2026, contains derived global and regional brain structure metrics used to identify clinically relevant MCI subtypes independent of overall atrophy.

Use Cases

• Identify subtypes of mild cognitive impairment based on local structural patterns independent of global atrophy.
• Assess the association between derived brain structure features and cognitive or functional scores like ADAS-Cog13.
• Validate clustering methods for patient stratification in heterogeneous neurological conditions.
• Explore the incremental explanatory value of continuous local residual features beyond categorical subtype labels.

Strengths

• Includes a substantial sample of 731 participants from a well-known Alzheimer's disease study (ADNI-1).
• Applies a methodologically clear approach to separate global atrophy from local structural patterns.
• Derived metrics are linked to clinical outcomes like cognition and daily function, as described in the analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data is unknown, which may limit suitability assessment.
• Data may reflect the specific cohort and imaging protocols of the ADNI-1 study.

Provenance

Source

Alzheimer's Disease Neuroimaging Initiative (ADNI-1) study.

Collection Method

Analysis of baseline neuroimaging data, with derived global atrophy index and regional structural features.

Freshness

Last updated 2026-04-17 03:02:02; freshness should be verified.