TY - JOUR
T1 - Regional shape abnormalities in mild cognitive impairment and Alzheimer's disease
AU - Qiu, Anqi
AU - Fennema-Notestine, Christine
AU - Dale, Anders M.
AU - Miller, Michael I.
N1 - Funding Information:
Data collection and sharing for this project was funded by the ADNI (PI: Michael Weiner; NIH grant U01-AG024904). ADNI is funded by the NIA, NIBIB, USFDA, and through contributions from: Pfizer Inc., Wyeth Research, Bristol-Myers Squibb, Eli Lilly and Company, GlaxoSmithKline, Merck & Co. Inc., AstraZeneca AB, Novartis Pharmaceuticals Corporation, Alzheimer's Association, Eisai Global Clinical Development, Elan Corporation plc, Forest Laboratories, and the Institute for the Study of Aging. Industry partnerships coordinated through the Foundation for NIH. The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory of Neuro Imaging at the University of California, Los Angeles.
Funding Information:
This research was supported by grant (U24-RR021382) of the Morphometry Biomedical Informatics Research Network (BIRN, http://www.nbirn.net ) funded by the National Center for Research Resources, National University of Singapore start-up grant R-397-000-058-133 (AQ), A⁎STAR SERC 082-101-0025 (AQ).
PY - 2009/4/15
Y1 - 2009/4/15
N2 - Magnetic resonance (MR) based shape analysis provides an opportunity to detect regional specificity of volumetric changes that may distinguish mild cognitive impairment (MCI) and Alzheimer's disease (AD) from healthy elderly controls (CON), and predict future conversion to AD. We assessed the surface deformation of seven structures (amygdala, hippocampus, thalamus, caudate, putamen, globus pallidus, body and temporal horn of the lateral ventricles) in 383 MRI volumes, based on data shared through the publicly available Alzheimer's Disease Neuroimaging Initiative (ADNI), to identify regionally-specific shape abnormalities in MCI and AD. Large deformation diffeomorphic metric mapping (LDDMM) was used to generate the shapes of seven structures based on template shapes injected into segmented subcortical volumes. LDDMM then constructed the surface deformation maps encoding the local shape variation of each subject relative to the template. Hierarchical models were developed to detect differences in local shape in MCI and AD relative to CON. Our findings revealed that surface inward-deformation in MCI and AD is most prominent in the anterior hippocampal segment and the basolateral complex of the amygdala. Most pronounced surface outward-deformation in MCI and AD occurs in the lateral ventricles. Mild surface inward-deformation in MCI and AD occurs in the anterior-lateral and ventral-lateral aspects of the thalamus, with no evidence of regionally-specific deformation in the putamen or globus pallidus. Although the locations of the shape abnormalities in MCI and AD are primarily within the mesial temporal region, analyses support distinct components of correlated shape variation that may help predict future MCI conversion.
AB - Magnetic resonance (MR) based shape analysis provides an opportunity to detect regional specificity of volumetric changes that may distinguish mild cognitive impairment (MCI) and Alzheimer's disease (AD) from healthy elderly controls (CON), and predict future conversion to AD. We assessed the surface deformation of seven structures (amygdala, hippocampus, thalamus, caudate, putamen, globus pallidus, body and temporal horn of the lateral ventricles) in 383 MRI volumes, based on data shared through the publicly available Alzheimer's Disease Neuroimaging Initiative (ADNI), to identify regionally-specific shape abnormalities in MCI and AD. Large deformation diffeomorphic metric mapping (LDDMM) was used to generate the shapes of seven structures based on template shapes injected into segmented subcortical volumes. LDDMM then constructed the surface deformation maps encoding the local shape variation of each subject relative to the template. Hierarchical models were developed to detect differences in local shape in MCI and AD relative to CON. Our findings revealed that surface inward-deformation in MCI and AD is most prominent in the anterior hippocampal segment and the basolateral complex of the amygdala. Most pronounced surface outward-deformation in MCI and AD occurs in the lateral ventricles. Mild surface inward-deformation in MCI and AD occurs in the anterior-lateral and ventral-lateral aspects of the thalamus, with no evidence of regionally-specific deformation in the putamen or globus pallidus. Although the locations of the shape abnormalities in MCI and AD are primarily within the mesial temporal region, analyses support distinct components of correlated shape variation that may help predict future MCI conversion.
KW - Alzheimer's disease
KW - Deep structure shape
KW - Diffeomorphic mapping
KW - Mild cognitive impairment
UR - http://www.scopus.com/inward/record.url?scp=61449196584&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=61449196584&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2009.01.013
DO - 10.1016/j.neuroimage.2009.01.013
M3 - Article
C2 - 19280688
AN - SCOPUS:61449196584
SN - 1053-8119
VL - 45
SP - 656
EP - 661
JO - NeuroImage
JF - NeuroImage
IS - 3
ER -