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Structural Brain Differences in the Alzheimer’s Disease Continuum: Insights Into the Heterogeneity From a Large Multisite Neuroimaging Consortium

  • Tavia E. Evans
  • , Natalia Vilor-Tejedor
  • , Gregory Operto
  • , Carles Falcon
  • , Albert Hofman
  • , Agustin Ibáñez
  • , Sudha Seshadari
  • , Louis C.S. Tan
  • , Michael Weiner
  • , Suverna Alladi
  • , Udunna Anazodo
  • , Juan Domingo Gispert
  • , Hieab H.H. Adams*
  • *Corresponding author for this work
  • Pasqual Maragall Foundation
  • Centro de Investigación Biomédica en Red (CIBER)
  • Universidad Adolfo Ibáñez
  • Consejo Nacional de Investigaciones Científicas y Técnicas
  • St. James’s Hospital
  • University of Texas Health Science Center at San Antonio
  • Singapore Health Services
  • USA Parkinson Foundation
  • Department of Veterans Affairs
  • University of California at San Francisco
  • National Institute of Mental Health and Neurosciences
  • Montreal Neurological Institute

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)
29 Downloads (Pure)

Abstract

Background: Neurodegenerative diseases require collaborative, multisite research to comprehensively grasp their complex and diverse pathological progression; however, there is caution in aggregating global data due to data heterogeneity. In the current study, we investigated brain structure across stages of Alzheimer’s disease (AD) and how relationships vary across sources of heterogeneity. Methods: Using 6 international datasets (N > 27,000), associations of structural neuroimaging markers were investigated in relation to the AD continuum via meta-analysis. We investigated whether associations varied across elements of magnetic resonance imaging acquisition, study design, and populations. Results: Modest differences in associations were found depending on how data were acquired; however, patterns were similar. Preliminary results suggested that neuroimaging marker–AD relationships differ across ethnic groups. Conclusions: Diversity in data offers unique insights into the neural substrate of AD; however, harmonized processing and transparency of data collection are needed. Global collaborations should embrace the inherent heterogeneity that exists in the data and quantify its contribution to research findings at the meta-analytical stage.

Original languageEnglish
Pages (from-to)1025-1036
Number of pages12
JournalBiological Psychiatry: Cognitive Neuroscience and Neuroimaging
Volume10
Issue number10
DOIs
Publication statusPublished - Oct 2025

Bibliographical note

Publisher Copyright: © 2024 Society of Biological Psychiatry.

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