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Introduction <p>List-learning tasks (LLTs) are important for characterizing memory in Alzheimer’s disease and related dementias. However, as the Uniform Data Set Neuropsychological Battery (UDS-NB) historically did not require a specific LLT, centers have administered different LLTs. The newest UDS version (v4.0) requires one of two LLTs. To support harmonized UDS memory research, we developed a memory composite incorporating UDS memory tests and multiple LLTs.</p> Methods <p>Item-banking confirmatory factor analysis was applied to develop a memory composite in a diagnostically heterogeneous sample (<i>n</i> = 8716) that completed the UDS-NB and one of five LLTs. Construct validity was evaluated through associations with demographics, disease severity, cognitive tasks, brain volume, amyloid/tau PET positivity, and plasma phosphorylated tau. Analyses were replicated in a racially/ethnically diverse cohort (<i>n</i> = 839).</p> Results <p>Psychometric properties were adequate. Expected associations with demographics and clinical measures within development and validation cohorts supported validity.</p> Conclusions <p>This composite supports memory research across cohorts that administer the UDS and LLTs. A user-friendly UI is freely available to create the score in other datasets. </p>

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Development and validation of a harmonized memory score for multicenter Alzheimer’s disease and related dementia research

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月15日

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  • Mark Sanderson-Cimino,
  • Alden L. Gross,
  • Leslie S. Gaynor,
  • Emily W. Paolillo,
  • Rowan Saloner,
  • Marilyn S. Albert,
  • Liana G. Apostolova,
  • Brooke Boersema,
  • Adam L. Boxer,
  • Bradley F. Boeve,
  • Kaitlin B. Casaletto,
  • Hilary W. Heuer,
  • Leah K. Forsberg,
  • Savannah R. Hallgarth,
  • Valentina E. Diaz,
  • Lindsay R. Clark,
  • Ani Eloyan,
  • Sarah Tomaszewski Farias,
  • Pauline Maillard,
  • Mitzi M. Gonzales,
  • Dustin B. Hammers,
  • Renaud La Joie,
  • Yann Cobigo,
  • Amy Wolf,
  • Benjamin M. Hampstead,
  • Dawn Mechanic-Hamilton,
  • Bruce L. Miller,
  • Gil D. Rabinovici,
  • John M. Ringman,
  • Lina M. D’Orazio,
  • Howie J. Rosen,
  • Sephira G. Ryman,
  • Jillian L. Prestopnik,
  • David P. Salmon,
  • Glenn E. Smith,
  • Charles DeCarli,
  • Kumar B. Rajan,
  • Lee-Way Jin,
  • Jason D. Hinman,
  • David K. Johnson,
  • Danielle J. Harvey,
  • Myriam Fornage,
  • Maria C. Carrillo,
  • Bradford C. Dickerson,
  • Joel H. Kramer,
  • Adam M. Staffaroni

摘要

Introduction

List-learning tasks (LLTs) are important for characterizing memory in Alzheimer’s disease and related dementias. However, as the Uniform Data Set Neuropsychological Battery (UDS-NB) historically did not require a specific LLT, centers have administered different LLTs. The newest UDS version (v4.0) requires one of two LLTs. To support harmonized UDS memory research, we developed a memory composite incorporating UDS memory tests and multiple LLTs.

Methods

Item-banking confirmatory factor analysis was applied to develop a memory composite in a diagnostically heterogeneous sample (n = 8716) that completed the UDS-NB and one of five LLTs. Construct validity was evaluated through associations with demographics, disease severity, cognitive tasks, brain volume, amyloid/tau PET positivity, and plasma phosphorylated tau. Analyses were replicated in a racially/ethnically diverse cohort (n = 839).

Results

Psychometric properties were adequate. Expected associations with demographics and clinical measures within development and validation cohorts supported validity.

Conclusions

This composite supports memory research across cohorts that administer the UDS and LLTs. A user-friendly UI is freely available to create the score in other datasets.