Preclinical prediction of Alzheimer's disease using SPECT

Area of Science:

• Neuroimaging
• Neurology
• Medical Diagnostics

Background:

• Alzheimer's disease (AD) diagnosis often occurs late.
• Preclinical prediction of AD is crucial for early intervention.
• Regional cerebral perfusion using SPECT is a potential early biomarker.

Purpose of the Study:

• To evaluate single photon emission computed tomography (SPECT) as a preclinical predictor of Alzheimer's disease (AD).
• To identify specific brain regions affected in early AD stages.

Main Methods:

• Singular value decomposition (SVD) analyzed SPECT data from 152 subjects.
• Vector scores were computed for four cognitive status groups (controls, mild AD, converters, established AD).
• Baseline SPECT data from 136 subjects were used for analysis.

Main Results:

• Baseline SPECT data accurately distinguished the four cognitive groups with an 83% hit rate (p < 0.00005).
• Converters showed reduced perfusion in the hippocampal-amygdaloid complex, posterior cingulate, anterior thalamus, and anterior cingulate.
• Apolipoprotein E status did not enhance diagnostic discrimination.

Conclusions:

• SPECT imaging shows promise for preclinical Alzheimer's disease (AD) prediction.
• Reduced perfusion in memory-related brain networks may indicate early AD.
• SPECT analysis can identify individuals at risk for developing AD.