Reduced FDG-PET brain metabolism and executive function predict clinical progression in elderly healthy subjects

Michael Ewers1, Matthias Brendel, Angela Rizk-Jackson

  • 1Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilian-University, Munich, Germany ; Department of Radiology, University of California, San Francisco, CA, USA ; VA Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA.

Neuroimage. Clinical
|November 29, 2013
PubMed

Insights

Brain imaging (FDG-PET) and cognitive tests accurately predict conversion from healthy aging to Alzheimer's disease (AD) or mild cognitive impairment (MCI) in older adults.

Area of Science:

  • Neuroimaging
  • Neurology
  • Geriatrics

Background:

  • Brain changes resembling Alzheimer's disease (AD) are found in cognitively healthy (HC) elderly individuals.
  • Identifying HC individuals at risk for progression to mild cognitive impairment (MCI) or AD dementia is crucial for early intervention.

Purpose of the Study:

  • To assess the accuracy of MRI-derived gray matter (GM) volume, 18F-fluorodeoxyglucose positron emission tomography (FDG-PET), and neuropsychological tests in predicting conversion from HC to MCI or AD dementia.
  • To identify predictors of clinical progression in elderly HC subjects.

Main Methods:

  • 54 HC subjects underwent regional FDG-PET and medial temporal GM volume assessments.
  • Logistic regression analyzed ROI values and neuropsychological scores (free recall, Trail Making Test B [TMT-B]) as predictors of conversion over 3-4 years.
  • Voxel-based analyses compared FDG-PET and MRI GM maps between converters and non-converters.

Main Results:

  • 11 out of 54 HC subjects converted to MCI or AD dementia.
  • Lower FDG-PET ROI values significantly predicted conversion (AUC 82.0%).
  • TMT-B scores also predicted conversion (AUC 71%), while free recall did not.
  • The combination of FDG-PET and TMT-B achieved high predictive accuracy (AUC 93.4%).
  • HC converters showed reduced temporo-parietal and prefrontal cortex metabolism on FDG-PET.

Conclusions:

  • Medial temporal and parietal FDG-PET metabolism and executive function (TMT-B) accurately predict clinical progression in elderly HC individuals.
  • These biomarkers offer clinically acceptable accuracy for identifying individuals at risk of developing MCI or AD dementia.

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