CTI-ALPS and DTI-ALPS Indices for 110 Patients with Cognitive Impairment

110 participants underwent diffusion MRI and magnetic resonance electrical property tomography to calculate conductivity- and diffusion-based imaging markers. The dataset, authored by Jehyeuk Ahn and last updated in April 2026, compares the CTI-ALPS and DTI-ALPS indices across cognitively normal older adults, amnestic mild cognitive impairment, and mild-to-moderate Alzheimer's disease patients. Results showed CTI-ALPS had a non-significant reduction trend in Alzheimer's disease and modest diagnostic utility compared to DTI-ALPS.

Use Cases

• Compare diagnostic performance of conductivity- and diffusion-based perivascular space indices based on the described CTI-ALPS and DTI-ALPS metrics.
• Investigate associations between imaging markers and cognitive function based on Mini-Mental State Examination (MMSE) scores mentioned in the description.
• Validate novel neuroimaging biomarkers for Alzheimer's disease continuum based on the prospective cross-sectional study design.
• Explore ionic physiological perivascular markers as a distinct physical contrast based on the conductivity tensor imaging (CTI) methodology.

Strengths

• Includes data from 110 participants across three clinical groups (CN, aMCI, AD).
• Compares two distinct imaging indices (CTI-ALPS and DTI-ALPS) derived from MRI scans.
• Results include age-adjusted ROC analyses for diagnostic performance evaluation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 2.6 MB file size suggests a small dataset, likely containing summary results rather than raw imaging data.

Provenance

Source

figshare, author Jehyeuk Ahn.

Collection Method

Prospective cross-sectional study using diffusion MRI and magnetic resonance electrical property tomography (MREPT).

Freshness

Last updated 2026-04-28 13:07:36; freshness should be verified.