Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI

C. Davatzikos, S. M. Resnick, X. Wu, P. Parmpi, C. M. Clark

Research output: Contribution to journalArticle

Abstract

The purpose of this study is to determine the diagnostic accuracy of MRI-based high-dimensional pattern classification in differentiating between patients with Alzheimer's disease (AD), Frontotemporal Dementia (FTD), and healthy controls, on an individual patient basis. MRI scans of 37 patients with AD and 37 age-matched cognitively normal elderly individuals, as well as 12 patients with FTD and 12 age-matched cognitively normal elderly individuals, were analyzed using voxel-based analysis and high-dimensional pattern classification. Diagnostic sensitivity and specificity of spatial patterns of regional brain atrophy found to be characteristic of AD and FTD were determined via cross-validation and via split-sample methods. Complex spatial patterns of relatively reduced brain volumes were identified, including temporal, orbitofrontal, parietal and cingulate regions, which were predominantly characteristic of either AD or FTD. These patterns provided 100% diagnostic accuracy, when used to separate AD or FTD from healthy controls. The ability to correctly distinguish AD from FTD averaged 84.3%. All estimates of diagnostic accuracy were determined via cross-validation. In conclusion, AD- and FTD-specific patterns of brain atrophy can be detected with high accuracy using high-dimensional pattern classification of MRI scans obtained in a typical clinical setting.

Original languageEnglish (US)
Pages (from-to)1220-1227
Number of pages8
JournalNeuroImage
Volume41
Issue number4
DOIs
StatePublished - Jul 15 2008
Externally publishedYes

Fingerprint

Frontotemporal Dementia
Alzheimer Disease
Atrophy
Brain
Magnetic Resonance Imaging
Parietal Lobe
Aptitude
Gyrus Cinguli
Temporal Lobe
Prefrontal Cortex

Keywords

  • Alzheimer's disease (26)
  • Frontotemporal dementia (29)
  • Volumetric MRI (130)

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

Cite this

Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI. / Davatzikos, C.; Resnick, S. M.; Wu, X.; Parmpi, P.; Clark, C. M.

In: NeuroImage, Vol. 41, No. 4, 15.07.2008, p. 1220-1227.

Research output: Contribution to journalArticle

Davatzikos, C. ; Resnick, S. M. ; Wu, X. ; Parmpi, P. ; Clark, C. M. / Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI. In: NeuroImage. 2008 ; Vol. 41, No. 4. pp. 1220-1227.
@article{006c19be35c149ab92f95027a928538e,
title = "Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI",
abstract = "The purpose of this study is to determine the diagnostic accuracy of MRI-based high-dimensional pattern classification in differentiating between patients with Alzheimer's disease (AD), Frontotemporal Dementia (FTD), and healthy controls, on an individual patient basis. MRI scans of 37 patients with AD and 37 age-matched cognitively normal elderly individuals, as well as 12 patients with FTD and 12 age-matched cognitively normal elderly individuals, were analyzed using voxel-based analysis and high-dimensional pattern classification. Diagnostic sensitivity and specificity of spatial patterns of regional brain atrophy found to be characteristic of AD and FTD were determined via cross-validation and via split-sample methods. Complex spatial patterns of relatively reduced brain volumes were identified, including temporal, orbitofrontal, parietal and cingulate regions, which were predominantly characteristic of either AD or FTD. These patterns provided 100{\%} diagnostic accuracy, when used to separate AD or FTD from healthy controls. The ability to correctly distinguish AD from FTD averaged 84.3{\%}. All estimates of diagnostic accuracy were determined via cross-validation. In conclusion, AD- and FTD-specific patterns of brain atrophy can be detected with high accuracy using high-dimensional pattern classification of MRI scans obtained in a typical clinical setting.",
keywords = "Alzheimer's disease (26), Frontotemporal dementia (29), Volumetric MRI (130)",
author = "C. Davatzikos and Resnick, {S. M.} and X. Wu and P. Parmpi and Clark, {C. M.}",
year = "2008",
month = "7",
day = "15",
doi = "10.1016/j.neuroimage.2008.03.050",
language = "English (US)",
volume = "41",
pages = "1220--1227",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",
number = "4",

}

TY - JOUR

T1 - Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI

AU - Davatzikos, C.

AU - Resnick, S. M.

AU - Wu, X.

AU - Parmpi, P.

AU - Clark, C. M.

PY - 2008/7/15

Y1 - 2008/7/15

N2 - The purpose of this study is to determine the diagnostic accuracy of MRI-based high-dimensional pattern classification in differentiating between patients with Alzheimer's disease (AD), Frontotemporal Dementia (FTD), and healthy controls, on an individual patient basis. MRI scans of 37 patients with AD and 37 age-matched cognitively normal elderly individuals, as well as 12 patients with FTD and 12 age-matched cognitively normal elderly individuals, were analyzed using voxel-based analysis and high-dimensional pattern classification. Diagnostic sensitivity and specificity of spatial patterns of regional brain atrophy found to be characteristic of AD and FTD were determined via cross-validation and via split-sample methods. Complex spatial patterns of relatively reduced brain volumes were identified, including temporal, orbitofrontal, parietal and cingulate regions, which were predominantly characteristic of either AD or FTD. These patterns provided 100% diagnostic accuracy, when used to separate AD or FTD from healthy controls. The ability to correctly distinguish AD from FTD averaged 84.3%. All estimates of diagnostic accuracy were determined via cross-validation. In conclusion, AD- and FTD-specific patterns of brain atrophy can be detected with high accuracy using high-dimensional pattern classification of MRI scans obtained in a typical clinical setting.

AB - The purpose of this study is to determine the diagnostic accuracy of MRI-based high-dimensional pattern classification in differentiating between patients with Alzheimer's disease (AD), Frontotemporal Dementia (FTD), and healthy controls, on an individual patient basis. MRI scans of 37 patients with AD and 37 age-matched cognitively normal elderly individuals, as well as 12 patients with FTD and 12 age-matched cognitively normal elderly individuals, were analyzed using voxel-based analysis and high-dimensional pattern classification. Diagnostic sensitivity and specificity of spatial patterns of regional brain atrophy found to be characteristic of AD and FTD were determined via cross-validation and via split-sample methods. Complex spatial patterns of relatively reduced brain volumes were identified, including temporal, orbitofrontal, parietal and cingulate regions, which were predominantly characteristic of either AD or FTD. These patterns provided 100% diagnostic accuracy, when used to separate AD or FTD from healthy controls. The ability to correctly distinguish AD from FTD averaged 84.3%. All estimates of diagnostic accuracy were determined via cross-validation. In conclusion, AD- and FTD-specific patterns of brain atrophy can be detected with high accuracy using high-dimensional pattern classification of MRI scans obtained in a typical clinical setting.

KW - Alzheimer's disease (26)

KW - Frontotemporal dementia (29)

KW - Volumetric MRI (130)

UR - http://www.scopus.com/inward/record.url?scp=44649136049&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=44649136049&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2008.03.050

DO - 10.1016/j.neuroimage.2008.03.050

M3 - Article

C2 - 18474436

AN - SCOPUS:44649136049

VL - 41

SP - 1220

EP - 1227

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

IS - 4

ER -