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Related Experiment Video

Updated: Jun 20, 2026

Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET
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Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET

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FDDNP binding using MR derived cortical surface maps.

H D Protas1, S-C Huang, V Kepe

  • 1Department of Biomathematics, David Geffen School of Medicine at UCLA, University of California-Los Angeles, 10833 Le Conte Ave., Los Angeles, CA 90095, USA. hprotas@ucla.edu

Neuroimage
|August 26, 2009
PubMed
Summary
This summary is machine-generated.

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This study quantitatively assessed brain imaging patterns of beta-amyloid and tau tangles in Alzheimer's disease (AD). Corrected imaging revealed spatial patterns consistent with known AD pathology, aiding early diagnosis.

Area of Science:

  • Neuroimaging
  • Molecular Imaging
  • Neuropathology

Background:

  • Alzheimer's disease (AD) is characterized by beta-amyloid and neurofibrillary tangles.
  • Accurate in vivo quantification of these pathologies is crucial for understanding disease progression.

Purpose of the Study:

  • To quantitatively assess the cortical pattern of FDDNP binding to beta-amyloid and neurofibrillary tangles.
  • To create MR-derived cortical maps of FDDNP binding.
  • To correct FDDNP PET images for movement and partial volume (PV) and optimize kernel size.

Main Methods:

  • FDDNP DVR PET images from 23 subjects (AD, MCI, controls) were analyzed using Logan analysis with cerebellum as reference.
  • Hemispheric cortical surface models were extracted from MRI and co-registered with PET data.

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  • Cortical maps underwent PV correction and discriminant analysis to differentiate disease states.

    • Main Results:

    • Movement and PV corrected FDDNP DVR cortical surfaces showed reduced hemispheric asymmetry.
    • An optimal kernel size of 9 mm was determined.
    • The corrected FDDNP DVR cortical surface map displayed spatial patterns aligning with known AD pathological progression.

    Conclusions:

    • Movement and PV correction, along with optimized kernel size, enable sensitive statistical analysis of FDDNP distribution.
    • This approach confirms known AD pathology patterns in the living brain, correlating with cognitive decline.
    • The findings support the use of advanced PET imaging techniques for early detection and monitoring of AD pathology.