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Cingulate cortex hypoperfusion predicts Alzheimer's disease in mild cognitive impairment

Chaorui Huang1, Lars-Olof Wahlund, Leif Svensson

  • 1Karolinska Institutet, Department of Clinical Neuroscience, Occupational Therapy and Elderly Care Research (NEUROTEC), Divison of Geriatric Medicine, Huddinge University Hospital, Sweden. chaorui.huang@neurotec.ki.se

BMC Neurology
|September 14, 2002
PubMed
Abstract

Insights

Reduced blood flow in the posterior cingulate cortex may predict Alzheimer's disease (AD) in individuals with mild cognitive impairment (MCI). This finding could aid in early AD detection and intervention strategies.

Area of Science:

  • Neurology
  • Radiology
  • Neuroimaging

Background:

  • Mild cognitive impairment (MCI) is a heterogeneous condition with a significant risk of progressing to Alzheimer's disease (AD).
  • Understanding MCI heterogeneity is crucial for identifying individuals at high risk for AD development.

Purpose of the Study:

  • To investigate regional cerebral blood flow (rCBF) in MCI subjects using SPECT.
  • To identify predictors of Alzheimer's disease (AD) progression in individuals with MCI.

Main Methods:

  • rCBF was assessed in 54 MCI subjects using Tc-99m HMPAO SPECT and analyzed with BRASS software.
  • Subjects were followed for approximately two years to determine progression to AD (PMCI) or stability (SMCI).
  • Baseline SPECT data were compared between PMCI and SMCI groups using ROC analysis.

Main Results:

  • The conversion rate from MCI to AD was 13.7% per year.
  • Individuals who progressed to AD (PMCI) showed significantly reduced rCBF in the left posterior cingulate cortex compared to stable MCI (SMCI).
  • ROC analysis demonstrated acceptable discrimination (74%-76% AUC) between PMCI and SMCI at baseline.

Conclusions:

  • Reduced relative blood flow in the posterior cingulate gyrus can be detected up to two years before clinical diagnosis of AD.
  • SPECT-based rCBF measurement in the posterior cingulate cortex may serve as an early biomarker for AD prediction in MCI.

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