A large-scale comparison of cortical thickness and volume methods for measuring Alzheimer's disease severity

Christopher Schwarz, Jeffrey L. Gunter, Heather J. Wiste, Scott A. Przybelski, Stephen D. Weigand, Chadwick P. Ward, Matthew L. Senjem, Prashanthi D Vemuri, Melissa E Murray, Dennis W Dickson, Joseph E Parisi, Kejal M Kantarci, Michael W. Weiner, Ronald Carl Petersen, Clifford R Jr. Jack

Research output: Contribution to journalArticle

50 Citations (Scopus)

Abstract

Alzheimer's disease (AD) researchers commonly use MRI as a quantitative measure of disease severity. Historically, hippocampal volume has been favored. Recently, "AD signature" measurements of gray matter (GM) volumes or cortical thicknesses have gained attention. Here, we systematically evaluate multiple thickness- and volume-based candidate-methods side-by-side, built using the popular FreeSurfer, SPM, and ANTs packages, according to the following criteria: (a) ability to separate clinically normal individuals from those with AD; (b) (extent of) correlation with head size, a nuisance covariatel (c) reliability on repeated scans; and (d) correlation with Braak neurofibrillary tangle stage in a group with autopsy. We show that volume- and thickness-based measures generally perform similarly for separating clinically normal from AD populations, and in correlation with Braak neurofibrillary tangle stage at autopsy. Volume-based measures are generally more reliable than thickness measures. As expected, volume measures are highly correlated with head size, while thickness measures are generally not. Because approaches to statistically correcting volumes for head size vary and may be inadequate to deal with this underlying confound, and because our goal is to determine a measure which can be used to examine age and sex effects in a cohort across a large age range, we thus recommend thickness-based measures. Ultimately, based on these criteria and additional practical considerations of run-time and failure rates, we recommend an AD signature measure formed from a composite of thickness measurements in the entorhinal, fusiform, parahippocampal, mid-temporal, inferior-temporal, and angular gyrus ROIs using ANTs with input segmentations from SPM12.

Original languageEnglish (US)
Pages (from-to)802-812
Number of pages11
JournalNeuroImage: Clinical
Volume11
DOIs
StatePublished - 2016

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Alzheimer Disease
Neurofibrillary Tangles
Head
Autopsy
Parietal Lobe
Aptitude
Temporal Lobe
Research Personnel
Population

ASJC Scopus subject areas

  • Clinical Neurology
  • Radiology Nuclear Medicine and imaging
  • Cognitive Neuroscience
  • Neurology

Cite this

A large-scale comparison of cortical thickness and volume methods for measuring Alzheimer's disease severity. / Schwarz, Christopher; Gunter, Jeffrey L.; Wiste, Heather J.; Przybelski, Scott A.; Weigand, Stephen D.; Ward, Chadwick P.; Senjem, Matthew L.; Vemuri, Prashanthi D; Murray, Melissa E; Dickson, Dennis W; Parisi, Joseph E; Kantarci, Kejal M; Weiner, Michael W.; Petersen, Ronald Carl; Jack, Clifford R Jr.

In: NeuroImage: Clinical, Vol. 11, 2016, p. 802-812.

Research output: Contribution to journalArticle

Schwarz, Christopher ; Gunter, Jeffrey L. ; Wiste, Heather J. ; Przybelski, Scott A. ; Weigand, Stephen D. ; Ward, Chadwick P. ; Senjem, Matthew L. ; Vemuri, Prashanthi D ; Murray, Melissa E ; Dickson, Dennis W ; Parisi, Joseph E ; Kantarci, Kejal M ; Weiner, Michael W. ; Petersen, Ronald Carl ; Jack, Clifford R Jr. / A large-scale comparison of cortical thickness and volume methods for measuring Alzheimer's disease severity. In: NeuroImage: Clinical. 2016 ; Vol. 11. pp. 802-812.
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AU - Schwarz, Christopher

AU - Gunter, Jeffrey L.

AU - Wiste, Heather J.

AU - Przybelski, Scott A.

AU - Weigand, Stephen D.

AU - Ward, Chadwick P.

AU - Senjem, Matthew L.

AU - Vemuri, Prashanthi D

AU - Murray, Melissa E

AU - Dickson, Dennis W

AU - Parisi, Joseph E

AU - Kantarci, Kejal M

AU - Weiner, Michael W.

AU - Petersen, Ronald Carl

AU - Jack, Clifford R Jr.

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N2 - Alzheimer's disease (AD) researchers commonly use MRI as a quantitative measure of disease severity. Historically, hippocampal volume has been favored. Recently, "AD signature" measurements of gray matter (GM) volumes or cortical thicknesses have gained attention. Here, we systematically evaluate multiple thickness- and volume-based candidate-methods side-by-side, built using the popular FreeSurfer, SPM, and ANTs packages, according to the following criteria: (a) ability to separate clinically normal individuals from those with AD; (b) (extent of) correlation with head size, a nuisance covariatel (c) reliability on repeated scans; and (d) correlation with Braak neurofibrillary tangle stage in a group with autopsy. We show that volume- and thickness-based measures generally perform similarly for separating clinically normal from AD populations, and in correlation with Braak neurofibrillary tangle stage at autopsy. Volume-based measures are generally more reliable than thickness measures. As expected, volume measures are highly correlated with head size, while thickness measures are generally not. Because approaches to statistically correcting volumes for head size vary and may be inadequate to deal with this underlying confound, and because our goal is to determine a measure which can be used to examine age and sex effects in a cohort across a large age range, we thus recommend thickness-based measures. Ultimately, based on these criteria and additional practical considerations of run-time and failure rates, we recommend an AD signature measure formed from a composite of thickness measurements in the entorhinal, fusiform, parahippocampal, mid-temporal, inferior-temporal, and angular gyrus ROIs using ANTs with input segmentations from SPM12.

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