Independent prognostic value of peak width of skeletonized mean diffusivity on clinical progression in Alzheimer's

Jonas Alexander Jarholm1,2, Sandra Tecelão1, Bjørn-Eivind Kirsebom1,3,4

  • 1Department of Neurology Akershus University Hospital Lørenskog Norway.

Abstract

Insights

Peak width of skeletonized mean diffusivity (PSMD) combined with amyloid status predicts Alzheimer's disease progression. High PSMD in amyloid-positive individuals indicates increased risk, particularly affecting processing speed and executive function.

Area of Science:

  • Neuroimaging
  • Biomarkers
  • Alzheimer's Disease Research

Background:

  • Peak width of skeletonized mean diffusivity (PSMD) is a potential magnetic resonance imaging (MRI) marker for assessing global white matter integrity.
  • Investigating PSMD's predictive value for clinical progression in individuals with and without amyloid pathology is crucial for understanding Alzheimer's disease (AD) development.

Purpose of the Study:

  • To evaluate the utility of PSMD in predicting clinical progression in both amyloid-positive and amyloid-negative individuals.
  • To determine the association of PSMD with cognitive domains, specifically processing speed, executive function, and memory.

Main Methods:

  • PSMD, cognitive function, and amyloid status were assessed in participants from the Dementia Disease Initiation (DDI) and Alzheimer's Disease Neuroimaging Initiative (ADNI) cohorts.
  • Survival analysis was performed on DDI subjects and validated in ADNI subjects using the Clinical Dementia Rating scale to predict clinical progression.

Main Results:

  • High PSMD in amyloid-positive individuals was associated with an increased risk of clinical progression, indicating additive effects of amyloid pathology and PSMD.
  • Elevated PSMD levels were primarily linked to slower processing speed and diminished executive function, but not significantly with memory performance.

Conclusions:

  • The combination of PSMD and amyloid status may enhance the prediction of clinical progression in Alzheimer's disease.
  • This combined approach shows particular promise for predicting changes in executive function and processing speed domains.

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