Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition

Alex D. Leow, Igor Yanovsky, Neelroop Parikshak, Xue Hua, Suh Lee, Arthur W. Toga, Clifford R Jr. Jack, Matthew A Bernstein, Paula J. Britson, Jeffrey L. Gunter, Chadwick P. Ward, Bret Borowski, Leslie M. Shaw, John Q. Trojanowski, Adam S. Fleisher, Danielle Harvey, John Kornak, Norbert Schuff, Gene E. Alexander, Michael W. WeinerPaul M. Thompson

Research output: Contribution to journalArticle

127 Citations (Scopus)

Abstract

Tensor-based morphometry can recover three-dimensional longitudinal brain changes over time by nonlinearly registering baseline to follow-up MRI scans of the same subject. Here, we compared the anatomical distribution of longitudinal brain structural changes, over 12 months, using a subset of the ADNI dataset consisting of 20 patients with Alzheimer's disease (AD), 40 healthy elderly controls, and 40 individuals with mild cognitive impairment (MCI). Each individual longitudinal change map (Jacobian map) was created using an unbiased registration technique, and spatially normalized to a geometrically-centered average image based on healthy controls. Voxelwise statistical analyses revealed regional differences in atrophy rates, and these differences were correlated with clinical measures and biomarkers. Consistent with prior studies, we detected widespread cerebral atrophy in AD, and a more restricted atrophic pattern in MCI. In MCI, temporal lobe atrophy rates were correlated with changes in mini-mental state exam (MMSE) scores, clinical dementia rating (CDR), and logical/verbal learning memory scores. In AD, temporal atrophy rates were correlated with several biomarker indices, including a higher CSF level of p-tau protein, and a greater CSF tau/beta amyloid 1-42 (ABeta42) ratio. Temporal lobe atrophy was significantly faster in MCI subjects who converted to AD than in non-converters. Serial MRI scans can therefore be analyzed with nonlinear image registration to relate ongoing neurodegeneration to a variety of pathological biomarkers, cognitive changes, and conversion from MCI to AD, tracking disease progression in 3-dimensional detail.

Original languageEnglish (US)
Pages (from-to)645-655
Number of pages11
JournalNeuroImage
Volume45
Issue number3
DOIs
StatePublished - Apr 15 2009

Fingerprint

Neuroimaging
Cognition
Atrophy
Alzheimer Disease
Biomarkers
Temporal Lobe
Magnetic Resonance Imaging
Verbal Learning
tau Proteins
Brain
Dementia
Disease Progression
Cognitive Dysfunction

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

Cite this

Alzheimer's Disease Neuroimaging Initiative : A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition. / Leow, Alex D.; Yanovsky, Igor; Parikshak, Neelroop; Hua, Xue; Lee, Suh; Toga, Arthur W.; Jack, Clifford R Jr.; Bernstein, Matthew A; Britson, Paula J.; Gunter, Jeffrey L.; Ward, Chadwick P.; Borowski, Bret; Shaw, Leslie M.; Trojanowski, John Q.; Fleisher, Adam S.; Harvey, Danielle; Kornak, John; Schuff, Norbert; Alexander, Gene E.; Weiner, Michael W.; Thompson, Paul M.

In: NeuroImage, Vol. 45, No. 3, 15.04.2009, p. 645-655.

Research output: Contribution to journalArticle

Leow, AD, Yanovsky, I, Parikshak, N, Hua, X, Lee, S, Toga, AW, Jack, CRJ, Bernstein, MA, Britson, PJ, Gunter, JL, Ward, CP, Borowski, B, Shaw, LM, Trojanowski, JQ, Fleisher, AS, Harvey, D, Kornak, J, Schuff, N, Alexander, GE, Weiner, MW & Thompson, PM 2009, 'Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition', NeuroImage, vol. 45, no. 3, pp. 645-655. https://doi.org/10.1016/j.neuroimage.2009.01.004
Leow, Alex D. ; Yanovsky, Igor ; Parikshak, Neelroop ; Hua, Xue ; Lee, Suh ; Toga, Arthur W. ; Jack, Clifford R Jr. ; Bernstein, Matthew A ; Britson, Paula J. ; Gunter, Jeffrey L. ; Ward, Chadwick P. ; Borowski, Bret ; Shaw, Leslie M. ; Trojanowski, John Q. ; Fleisher, Adam S. ; Harvey, Danielle ; Kornak, John ; Schuff, Norbert ; Alexander, Gene E. ; Weiner, Michael W. ; Thompson, Paul M. / Alzheimer's Disease Neuroimaging Initiative : A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition. In: NeuroImage. 2009 ; Vol. 45, No. 3. pp. 645-655.
@article{860a4c40087042cba7c3368795fb0676,
title = "Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition",
abstract = "Tensor-based morphometry can recover three-dimensional longitudinal brain changes over time by nonlinearly registering baseline to follow-up MRI scans of the same subject. Here, we compared the anatomical distribution of longitudinal brain structural changes, over 12 months, using a subset of the ADNI dataset consisting of 20 patients with Alzheimer's disease (AD), 40 healthy elderly controls, and 40 individuals with mild cognitive impairment (MCI). Each individual longitudinal change map (Jacobian map) was created using an unbiased registration technique, and spatially normalized to a geometrically-centered average image based on healthy controls. Voxelwise statistical analyses revealed regional differences in atrophy rates, and these differences were correlated with clinical measures and biomarkers. Consistent with prior studies, we detected widespread cerebral atrophy in AD, and a more restricted atrophic pattern in MCI. In MCI, temporal lobe atrophy rates were correlated with changes in mini-mental state exam (MMSE) scores, clinical dementia rating (CDR), and logical/verbal learning memory scores. In AD, temporal atrophy rates were correlated with several biomarker indices, including a higher CSF level of p-tau protein, and a greater CSF tau/beta amyloid 1-42 (ABeta42) ratio. Temporal lobe atrophy was significantly faster in MCI subjects who converted to AD than in non-converters. Serial MRI scans can therefore be analyzed with nonlinear image registration to relate ongoing neurodegeneration to a variety of pathological biomarkers, cognitive changes, and conversion from MCI to AD, tracking disease progression in 3-dimensional detail.",
author = "Leow, {Alex D.} and Igor Yanovsky and Neelroop Parikshak and Xue Hua and Suh Lee and Toga, {Arthur W.} and Jack, {Clifford R Jr.} and Bernstein, {Matthew A} and Britson, {Paula J.} and Gunter, {Jeffrey L.} and Ward, {Chadwick P.} and Bret Borowski and Shaw, {Leslie M.} and Trojanowski, {John Q.} and Fleisher, {Adam S.} and Danielle Harvey and John Kornak and Norbert Schuff and Alexander, {Gene E.} and Weiner, {Michael W.} and Thompson, {Paul M.}",
year = "2009",
month = "4",
day = "15",
doi = "10.1016/j.neuroimage.2009.01.004",
language = "English (US)",
volume = "45",
pages = "645--655",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",
number = "3",

}

TY - JOUR

T1 - Alzheimer's Disease Neuroimaging Initiative

T2 - A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition

AU - Leow, Alex D.

AU - Yanovsky, Igor

AU - Parikshak, Neelroop

AU - Hua, Xue

AU - Lee, Suh

AU - Toga, Arthur W.

AU - Jack, Clifford R Jr.

AU - Bernstein, Matthew A

AU - Britson, Paula J.

AU - Gunter, Jeffrey L.

AU - Ward, Chadwick P.

AU - Borowski, Bret

AU - Shaw, Leslie M.

AU - Trojanowski, John Q.

AU - Fleisher, Adam S.

AU - Harvey, Danielle

AU - Kornak, John

AU - Schuff, Norbert

AU - Alexander, Gene E.

AU - Weiner, Michael W.

AU - Thompson, Paul M.

PY - 2009/4/15

Y1 - 2009/4/15

N2 - Tensor-based morphometry can recover three-dimensional longitudinal brain changes over time by nonlinearly registering baseline to follow-up MRI scans of the same subject. Here, we compared the anatomical distribution of longitudinal brain structural changes, over 12 months, using a subset of the ADNI dataset consisting of 20 patients with Alzheimer's disease (AD), 40 healthy elderly controls, and 40 individuals with mild cognitive impairment (MCI). Each individual longitudinal change map (Jacobian map) was created using an unbiased registration technique, and spatially normalized to a geometrically-centered average image based on healthy controls. Voxelwise statistical analyses revealed regional differences in atrophy rates, and these differences were correlated with clinical measures and biomarkers. Consistent with prior studies, we detected widespread cerebral atrophy in AD, and a more restricted atrophic pattern in MCI. In MCI, temporal lobe atrophy rates were correlated with changes in mini-mental state exam (MMSE) scores, clinical dementia rating (CDR), and logical/verbal learning memory scores. In AD, temporal atrophy rates were correlated with several biomarker indices, including a higher CSF level of p-tau protein, and a greater CSF tau/beta amyloid 1-42 (ABeta42) ratio. Temporal lobe atrophy was significantly faster in MCI subjects who converted to AD than in non-converters. Serial MRI scans can therefore be analyzed with nonlinear image registration to relate ongoing neurodegeneration to a variety of pathological biomarkers, cognitive changes, and conversion from MCI to AD, tracking disease progression in 3-dimensional detail.

AB - Tensor-based morphometry can recover three-dimensional longitudinal brain changes over time by nonlinearly registering baseline to follow-up MRI scans of the same subject. Here, we compared the anatomical distribution of longitudinal brain structural changes, over 12 months, using a subset of the ADNI dataset consisting of 20 patients with Alzheimer's disease (AD), 40 healthy elderly controls, and 40 individuals with mild cognitive impairment (MCI). Each individual longitudinal change map (Jacobian map) was created using an unbiased registration technique, and spatially normalized to a geometrically-centered average image based on healthy controls. Voxelwise statistical analyses revealed regional differences in atrophy rates, and these differences were correlated with clinical measures and biomarkers. Consistent with prior studies, we detected widespread cerebral atrophy in AD, and a more restricted atrophic pattern in MCI. In MCI, temporal lobe atrophy rates were correlated with changes in mini-mental state exam (MMSE) scores, clinical dementia rating (CDR), and logical/verbal learning memory scores. In AD, temporal atrophy rates were correlated with several biomarker indices, including a higher CSF level of p-tau protein, and a greater CSF tau/beta amyloid 1-42 (ABeta42) ratio. Temporal lobe atrophy was significantly faster in MCI subjects who converted to AD than in non-converters. Serial MRI scans can therefore be analyzed with nonlinear image registration to relate ongoing neurodegeneration to a variety of pathological biomarkers, cognitive changes, and conversion from MCI to AD, tracking disease progression in 3-dimensional detail.

UR - http://www.scopus.com/inward/record.url?scp=61449261038&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=61449261038&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2009.01.004

DO - 10.1016/j.neuroimage.2009.01.004

M3 - Article

C2 - 19280686

AN - SCOPUS:61449261038

VL - 45

SP - 645

EP - 655

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

IS - 3

ER -