Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: an MRI study of 676 AD, MCI, and normal subjects

摘要: Abstract In one of the largest brain MRI studies to date, we used tensor-based morphometry (TBM) create 3D maps structural atrophy in 676 subjects with Alzheimer's disease (AD), mild cognitive impairment (MCI), and healthy elderly controls, scanned as part Disease Neuroimaging Initiative (ADNI). Using inverse-consistent non-linear elastic image registration, warped individual volumes a population mean geometric template. Jacobian determinant were created, revealing profile local volumetric expansion compression. We compared anatomical distribution 165 AD patients (age: 75.6 ± 7.6 years), 330 MCI (74.8 ± 7.5), 181 controls (75.9 ± 5.1). Brain selected regions-of-interest was correlated clinical measurements – sum-of-boxes dementia rating (CDR-SB), mini-mental state examination (MMSE), logical memory test scores at voxel level followed by correction for multiple comparisons. Baseline temporal lobe current performance, future decline, conversion from over following year; it predicted decline even subjects. Over half carried ApoE4 (apolipoprotein E4) gene, which increases risk AD; they showed greater hippocampal deficits than non-carriers. ApoE2 gene carriers 1/6 normal group reduced ventricular expansion, suggesting protective effect. As an automated analysis technique, TBM reveals correlations between neuroimaging markers, genes, changes, is highly efficient large-scale studies.