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

Xue Hua, Alex D. Leow, Neelroop Parikshak, Suh Lee, Ming Chang Chiang, Arthur W. Toga, Clifford R Jr. Jack, Michael W. Weiner, Paul M. Thompson

Research output: Contribution to journalArticle

229 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)458-469
Number of pages12
JournalNeuroImage
Volume43
Issue number3
DOIs
StatePublished - Nov 15 2008

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Neuroimaging
Alzheimer Disease
Biomarkers
Atrophy
Temporal Lobe
Brain
Apolipoprotein E2
Genes
Apolipoprotein E4
Dementia
Cognitive Dysfunction
Healthy Volunteers
Population

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

Cite this

Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease : An MRI study of 676 AD, MCI, and normal subjects. / Hua, Xue; Leow, Alex D.; Parikshak, Neelroop; Lee, Suh; Chiang, Ming Chang; Toga, Arthur W.; Jack, Clifford R Jr.; Weiner, Michael W.; Thompson, Paul M.

In: NeuroImage, Vol. 43, No. 3, 15.11.2008, p. 458-469.

Research output: Contribution to journalArticle

Hua, Xue ; Leow, Alex D. ; Parikshak, Neelroop ; Lee, Suh ; Chiang, Ming Chang ; Toga, Arthur W. ; Jack, Clifford R Jr. ; Weiner, Michael W. ; Thompson, Paul M. / Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease : An MRI study of 676 AD, MCI, and normal subjects. In: NeuroImage. 2008 ; Vol. 43, No. 3. pp. 458-469.
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