Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls

Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Christina Avedissian, Sarah K. Madsen, Neelroop Parikshak, Xue Hua, Arthur W. Toga, Clifford R Jr. Jack, Norbert Schuff, Michael W. Weiner, Paul M. Thompson

Research output: Contribution to journalArticle

144 Citations (Scopus)

Abstract

We used a new method we developed for automated hippocampal segmentation, called the auto context model, to analyze brain MRI scans of 400 subjects from the Alzheimer's disease neuroimaging initiative. After training the classifier on 21 hand-labeled expert segmentations, we created binary maps of the hippocampus for three age- and sex-matched groups: 100 subjects with Alzheimer's disease (AD), 200 with mild cognitive impairment (MCI) and 100 elderly controls (mean age: 75.84; SD: 6.64). Hippocampal traces were converted to parametric surface meshes and a radial atrophy mapping technique was used to compute average surface models and local statistics of atrophy. Surface-based statistical maps visualized links between regional atrophy and diagnosis (MCI versus controls: P = 0.008; MCI versus AD: P = 0.001), mini-mental state exam (MMSE) scores, and global and sum-ofboxes clinical dementia rating scores (CDR; all P < 0.0001, corrected). Right but not left hippocampal atrophy was associated with geriatric depression scores (P = 0.004, corrected); hippocampal atrophy was not associated with subsequent decline in MMSE and CDR scores, educational level, ApoE genotype, systolic or diastolic blood pressure measures, or homocysteine. We gradually reduced sample sizes and used false discovery rate curves to examine the method's power to detect associations with diagnosis and cognition in smaller samples. Forty subjects were sufficient to discriminate AD from normal and correlate atrophy with CDR scores; 104, 200, and 304 subjects, respectively, were required to correlate MMSE with atrophy, to distinguish MCI from normal, and MCI from AD.

Original languageEnglish (US)
Pages (from-to)2766-2788
Number of pages23
JournalHuman Brain Mapping
Volume30
Issue number9
DOIs
StatePublished - Sep 15 2009

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Atrophy
Alzheimer Disease
Blood Pressure
Apolipoproteins E
Homocysteine
Cognitive Dysfunction
Neuroimaging
Geriatrics
Sample Size
Cognition
Dementia
Hippocampus
Research Design
Hand
Genotype
Magnetic Resonance Imaging
Depression
Brain

Keywords

  • ADNI
  • Automated segmentation
  • Hippocampus

ASJC Scopus subject areas

  • Clinical Neurology
  • Anatomy
  • Neurology
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls. / Morra, Jonathan H.; Tu, Zhuowen; Apostolova, Liana G.; Green, Amity E.; Avedissian, Christina; Madsen, Sarah K.; Parikshak, Neelroop; Hua, Xue; Toga, Arthur W.; Jack, Clifford R Jr.; Schuff, Norbert; Weiner, Michael W.; Thompson, Paul M.

In: Human Brain Mapping, Vol. 30, No. 9, 15.09.2009, p. 2766-2788.

Research output: Contribution to journalArticle

Morra, JH, Tu, Z, Apostolova, LG, Green, AE, Avedissian, C, Madsen, SK, Parikshak, N, Hua, X, Toga, AW, Jack, CRJ, Schuff, N, Weiner, MW & Thompson, PM 2009, 'Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls', Human Brain Mapping, vol. 30, no. 9, pp. 2766-2788. https://doi.org/10.1002/hbm.20708
Morra, Jonathan H. ; Tu, Zhuowen ; Apostolova, Liana G. ; Green, Amity E. ; Avedissian, Christina ; Madsen, Sarah K. ; Parikshak, Neelroop ; Hua, Xue ; Toga, Arthur W. ; Jack, Clifford R Jr. ; Schuff, Norbert ; Weiner, Michael W. ; Thompson, Paul M. / Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls. In: Human Brain Mapping. 2009 ; Vol. 30, No. 9. pp. 2766-2788.
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