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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Clinical Manifestations.

Barbara L Fischer1, Carol A Van Hulle2,3, Derek L Norton4,5

  • 1Department of Neurology University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 26, 2025
PubMed
Summary
This summary is machine-generated.

Mild Behavioral Impairment (MBI) is linked to faster cognitive decline. Centiloid concentration, a measure of beta-amyloid PET, may indicate early brain changes associated with MBI in diverse populations.

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Area of Science:

  • Neuroscience
  • Neurology
  • Gerontology

Background:

  • The link between Mild Behavioral Impairment (MBI) and cognitive decline is increasingly recognized, yet underlying mechanisms, especially in diverse populations, require further elucidation.
  • This study investigates the interplay between MBI, cognitive function, and various biomarkers in White and African American adults.

Purpose of the Study:

  • To explore the relationship between MBI, cognitive trajectories, and six biomarkers in a racially diverse cohort.
  • To determine if MBI influences the association between specific biomarkers and cognitive decline over time.

Main Methods:

  • Utilized data from the Wisconsin Alzheimer's Disease Research Center and the African Americans Fighting Alzheimer's in Midlife study.
  • Employed mixed-effects linear models and Cox proportional hazard models to analyze MBI, cognitive outcomes (speed, flexibility, memory), and biomarkers (hippocampal volume, amyloid-PET, plasma biomarkers like ptau217, Aβ42/40, GFAP, NfL).

Main Results:

  • No significant three-way interactions were found between MBI and most biomarkers (HPV, ptau217, Aβ42/40, NfL, GFAP) concerning cognitive decline.
  • Individuals with MBI showed accelerated declines across all cognitive measures.
  • Higher centiloid values (beta-amyloid PET) were significantly associated with steeper memory decline, and baseline MBI predicted time to CDR>0 in GFAP and centiloid models.

Conclusions:

  • Findings suggest MBI may modify the relationship between certain biomarkers and cognitive decline, particularly evident with centiloid concentration.
  • Centiloid concentration, a standardized measure of beta-amyloid PET, shows potential as a sensitive marker for early, stable brain changes linked to MBI in diverse groups.