Tensor-Based Morphometry as a Neuroimaging Biomarker for Alzheimer’s Disease: An MRI Study of 676 AD, MCI, and Normal Subjects

By Xue Hua, A. Leow, N. Parikshak, Suh Lee, Ming-Chang Chiang, Arthur W. Toga, Clifford R. Jack Jr., Michael Weiner, P. Thompson. NeuroImage, 2008

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

Subfields: Physiology, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/bd89c7eda96d2db6e74922ebac79a03d28fb14fc

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Citations in the corpus

DTI measures in crossing-fibre areas: Increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease (2011, positive): “…MCI patients compared with healthy controls is mostly confined to the medial temporal lobe and posterior cingulate/precuneus (Whitwell et al., 2008; Hua et al., 2008; Choo et al., 2010), the impairment of the SLF witnessed in crossing fibre regions using the mode of anisotropy might be the…”
Neural Correlates of Alzheimer's Disease and Mild Cognitive Impairment: A Systematic and Quantitative Meta-Analysis involving 1,351 Patients (2009, positive): “Accordingly, our comprehensive meta-analysis may support the notion that atrophy in the (trans-)entorhinal area and hippocampus can predict which MCI patients will develop AD (Blennow et al., 2006; Chong and Sahadevan, 2005; den Heijer et al., 2006; Hua et al., 2008; Schott et al., 2006; Walker and ”
Feed-forward Hierarchical Model of the Ventral Visual Stream Applied to Functional Brain Image Classification (2012, positive): “…known in the literature that structural changes in AD follow an anatomical trajectory starting in entorhinal cortex and hippocampus, then moving to temporal and parietal lobes, and finally affecting the frontal lobes in late stage AD (Braak and Braak 1997; Hua, et al. 2008; Thompson, et al. 2003).”
Brain imaging in Alzheimer disease. (2012, positive): “The amount, distribution, and rate of cerebral atrophy are all closely correlated with cognitive deficits (Hua et al. 2008; Ridha et al. 2008; Cardenas et al. 2009; Fox et al. 1999b).”
The Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception (2011, neutral): “Hua et al [112] and Leow et al [113] both used TBM to create 3-”