Cognitive data harmonization in the ADRC Network and beyond-Past, present, and future.

Area of Science:

• Neuroscience
• Psychometrics
• Data Science

Background:

• The National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) collects extensive cognitive data from Alzheimer's Disease Research Centers (ADRCs).
• The UDS has evolved, and ADRCs also use augmented neuropsychological batteries beyond the core UDS.
• Challenges exist in analyzing cognitive data from evolving test batteries.

Purpose of the Study:

• To describe ongoing efforts and future plans for optimizing the use of NACC cognitive data with modern psychometric methods.
• To harmonize and co-calibrate cognitive domain scores from UDS and non-UDS data.
• To provide a framework for future data developments, including digital cognitive testing.

Main Methods:

• Application of modern psychometric methods to harmonize and co-calibrate cognitive data.
• Focus on memory, executive functioning, and language domains.
• Development of a framework for integrating diverse cognitive datasets.

Main Results:

• Harmonization and co-calibration of cognitive domain scores (memory, executive functioning, language) have been achieved.
• Co-calibrated scores and standard errors are available from NACC.
• These scores are co-calibrated with data from numerous additional studies, enabling cross-study comparisons.

Conclusions:

• Modern psychometric methods effectively address challenges posed by evolving cognitive test batteries.
• These methods facilitate optimal utilization of NACC's rich data for collaborative Alzheimer's research.
• The framework supports future advancements like digital cognitive testing and analysis of subjective cognitive impairment.