3D characterization of brain atrophy in Alzheimer's disease and mild cognitive impairment using tensor-based morphometry

@article{citeulike:2802080, abstract = {Tensor-based morphometry (TBM) creates three-dimensional maps of disease-related differences in brain structure, based on nonlinearly registering brain MRI scans to a common image template. Using two different TBM designs (averaging individual differences versus aligning group average templates), we compared the anatomical distribution of brain atrophy in 40 patients with Alzheimer's disease (AD), 40 healthy elderly controls, and 40 individuals with amnestic mild cognitive impairment (aMCI), a condition conferring increased risk for AD. We created an unbiased geometrical average image template for each of the three groups, which were matched for sex and age (mean age: 76.1 years+/- 7.7 SD). We warped each individual brain image (N = 120) to the control group average template to create Jacobian maps, which show the local expansion or compression factor at each point in the image, reflecting individual volumetric differences. Statistical maps of group differences revealed widespread medial temporal and limbic atrophy in AD, with a lesser, more restricted distribution in MCI. Atrophy and CSF space expansion both correlated strongly with Mini-Mental State Exam (MMSE) scores and Clinical Dementia Rating (CDR). Using cumulative p-value plots, we investigated how detection sensitivity was influenced by the sample size, the choice of search region (whole brain, temporal lobe, hippocampus), the initial linear registration method (9- versus 12-parameter), and the type of TBM design. In the future, TBM may help to (1) identify factors that resist or accelerate the disease process, and (2) measure disease burden in treatment trials.}, author = {Hua, Xue and Leow, Alex D. and Lee, Suh and Klunder, Andrea D. and Toga, Arthur W. and Lepore, Natasha and Chou, Yi-Yu and Brun, Caroline and Chiang, Ming-Chang and Barysheva, Marina and Jack and Bernstein, Matt A. and Britson, Paula J. and Ward, Chadwick P. and Whitwell, Jennifer L. and Borowski, Bret and Fleisher, Adam S. and Fox, Nick C. and Boyes, Richard G. and Barnes, Josephine and Harvey, Danielle and Kornak, John and Schuff, Norbert and Boreta, Lauren and Alexander, Gene E. and Weiner, Michael W. and Thompson, Paul M. and The}, citeulike-article-id = {2802080}, doi = {10.1016/j.neuroimage.2008.02.010}, journal = {NeuroImage}, keywords = {neuroimaging, tensor}, month = {May}, number = {1}, pages = {19--34}, posted-at = {2008-05-15 17:12:06}, priority = {2}, title = {3D characterization of brain atrophy in Alzheimer's disease and mild cognitive impairment using tensor-based morphometry}, url = {http://dx.doi.org/10.1016/j.neuroimage.2008.02.010}, volume = {41}, year = {2008} }

TY - JOUR ID - citeulike:2802080 L3 - citeulike-article-id:2802080 TI - 3D characterization of brain atrophy in Alzheimer's disease and mild cognitive impairment using tensor-based morphometry JF - NeuroImage VL - 41 IS - 1 SP - 19 EP - 34 N2 - Tensor-based morphometry (TBM) creates three-dimensional maps of disease-related differences in brain structure, based on nonlinearly registering brain MRI scans to a common image template. Using two different TBM designs (averaging individual differences versus aligning group average templates), we compared the anatomical distribution of brain atrophy in 40 patients with Alzheimer's disease (AD), 40 healthy elderly controls, and 40 individuals with amnestic mild cognitive impairment (aMCI), a condition conferring increased risk for AD. We created an unbiased geometrical average image template for each of the three groups, which were matched for sex and age (mean age: 76.1 years+/- 7.7 SD). We warped each individual brain image (N = 120) to the control group average template to create Jacobian maps, which show the local expansion or compression factor at each point in the image, reflecting individual volumetric differences. Statistical maps of group differences revealed widespread medial temporal and limbic atrophy in AD, with a lesser, more restricted distribution in MCI. Atrophy and CSF space expansion both correlated strongly with Mini-Mental State Exam (MMSE) scores and Clinical Dementia Rating (CDR). Using cumulative p-value plots, we investigated how detection sensitivity was influenced by the sample size, the choice of search region (whole brain, temporal lobe, hippocampus), the initial linear registration method (9- versus 12-parameter), and the type of TBM design. In the future, TBM may help to (1) identify factors that resist or accelerate the disease process, and (2) measure disease burden in treatment trials. KW - neuroimaging KW - tensor AU - Hua, Xue AU - Leow, Alex AU - Lee, Suh AU - Klunder, Andrea AU - Toga, Arthur AU - Lepore, Natasha AU - Chou, Yi-Yu AU - Brun, Caroline AU - Chiang, Ming-Chang AU - Barysheva, Marina AU - Jack AU - Bernstein, Matt AU - Britson, Paula AU - Ward, Chadwick AU - Whitwell, Jennifer AU - Borowski, Bret AU - Fleisher, Adam AU - Fox, Nick AU - Boyes, Richard AU - Barnes, Josephine AU - Harvey, Danielle AU - Kornak, John AU - Schuff, Norbert AU - Boreta, Lauren AU - Alexander, Gene AU - Weiner, Michael AU - Thompson, Paul AU - The PY - 2008/05/15/ UR - http://dx.doi.org/10.1016/j.neuroimage.2008.02.010 ER -