Analysis of regional MRI volumes and thicknesses as predictors of conversion from mild cognitive impairment to Alzheimer's disease

Yawu Liu; Teemu Paajanen; Yi Zhang; Eric Westman; Lars-Olof Wahlund; Andrew Simmons; Catherine Tunnard; Tomasz Sobow; Patrizia Mecocci; Magda Tsolaki; Bruno Vellas; Sebastian Muehlboeck; Alan Evans; Christian Spenger; Simon Lovestone; Hilkka Soininen

doi:10.1016/j.neurobiolaging.2010.01.022

Analysis of regional MRI volumes and thicknesses as predictors of conversion from mild cognitive impairment to Alzheimer's disease

Yawu Liu, Teemu Paajanen, Yi Zhang, Eric Westman, Lars-Olof Wahlund, Andrew Simmons, Catherine Tunnard, Tomasz Sobow, Patrizia Mecocci, Magda Tsolaki, Bruno Vellas, Sebastian Muehlboeck, Alan Evans, Christian Spenger, Simon Lovestone, Hilkka Soininen

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Abstract

We determined predictors of conversion to Alzheimer's disease (AD) from mild cognitive impairment (MCI) with automated magnetic resonance imaging (MRI) regional cortical volume and thickness measures. One hundred amnestic MCI subjects, 118 AD patients, and 94 age-matched healthy controls were selected from AddNeuroMed study. Twenty-four regional cortical volumes and 34 cortical thicknesses were measured with automated image processing software at baseline. Twenty-one subjects converted from MCI to AD determined with the cognitive tests at baseline and 1 year later. The hippocampus, amygdala, and caudate volumes were significantly smaller in progressive MCI subjects than in controls and stable MCI subjects. The cortical volumes achieved higher predictive accuracy than did cognitive tests or cortical thickness. Combining the volumes, thicknesses, and cognitive tests did not improve the accuracy. The volume of amygdala and caudate were independent variables in predicting conversion from MCI to AD. We conclude that regional cortical volume measures are more powerful than those common cognitive tests we used in identifying AD patients at the very earliest stage of the disease. (C) 2010 Elsevier Inc. All rights reserved.

Original language	English
Pages (from-to)	1375 - 1385
Number of pages	11
Journal	Neurobiology of Aging
Volume	31
Issue number	8
DOIs	https://doi.org/10.1016/j.neurobiolaging.2010.01.022
Publication status	Published - Aug 2010

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Liu, Y., Paajanen, T., Zhang, Y., Westman, E., Wahlund, L.-O., Simmons, A., Tunnard, C., Sobow, T., Mecocci, P., Tsolaki, M., Vellas, B., Muehlboeck, S., Evans, A., Spenger, C., Lovestone, S., & Soininen, H. (2010). Analysis of regional MRI volumes and thicknesses as predictors of conversion from mild cognitive impairment to Alzheimer's disease. Neurobiology of Aging, 31(8), 1375 - 1385. https://doi.org/10.1016/j.neurobiolaging.2010.01.022

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title = "Analysis of regional MRI volumes and thicknesses as predictors of conversion from mild cognitive impairment to Alzheimer's disease",

abstract = "We determined predictors of conversion to Alzheimer's disease (AD) from mild cognitive impairment (MCI) with automated magnetic resonance imaging (MRI) regional cortical volume and thickness measures. One hundred amnestic MCI subjects, 118 AD patients, and 94 age-matched healthy controls were selected from AddNeuroMed study. Twenty-four regional cortical volumes and 34 cortical thicknesses were measured with automated image processing software at baseline. Twenty-one subjects converted from MCI to AD determined with the cognitive tests at baseline and 1 year later. The hippocampus, amygdala, and caudate volumes were significantly smaller in progressive MCI subjects than in controls and stable MCI subjects. The cortical volumes achieved higher predictive accuracy than did cognitive tests or cortical thickness. Combining the volumes, thicknesses, and cognitive tests did not improve the accuracy. The volume of amygdala and caudate were independent variables in predicting conversion from MCI to AD. We conclude that regional cortical volume measures are more powerful than those common cognitive tests we used in identifying AD patients at the very earliest stage of the disease. (C) 2010 Elsevier Inc. All rights reserved.",

author = "Yawu Liu and Teemu Paajanen and Yi Zhang and Eric Westman and Lars-Olof Wahlund and Andrew Simmons and Catherine Tunnard and Tomasz Sobow and Patrizia Mecocci and Magda Tsolaki and Bruno Vellas and Sebastian Muehlboeck and Alan Evans and Christian Spenger and Simon Lovestone and Hilkka Soininen",

year = "2010",

month = aug,

doi = "10.1016/j.neurobiolaging.2010.01.022",

language = "English",

volume = "31",

pages = "1375 -- 1385",

journal = "Neurobiology of Aging",

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Liu, Y, Paajanen, T, Zhang, Y, Westman, E, Wahlund, L-O, Simmons, A, Tunnard, C, Sobow, T, Mecocci, P, Tsolaki, M, Vellas, B, Muehlboeck, S, Evans, A, Spenger, C, Lovestone, S & Soininen, H 2010, 'Analysis of regional MRI volumes and thicknesses as predictors of conversion from mild cognitive impairment to Alzheimer's disease', Neurobiology of Aging, vol. 31, no. 8, pp. 1375 - 1385. https://doi.org/10.1016/j.neurobiolaging.2010.01.022

TY - JOUR

T1 - Analysis of regional MRI volumes and thicknesses as predictors of conversion from mild cognitive impairment to Alzheimer's disease

AU - Liu, Yawu

AU - Paajanen, Teemu

AU - Zhang, Yi

AU - Westman, Eric

AU - Wahlund, Lars-Olof

AU - Simmons, Andrew

AU - Tunnard, Catherine

AU - Sobow, Tomasz

AU - Mecocci, Patrizia

AU - Tsolaki, Magda

AU - Vellas, Bruno

AU - Muehlboeck, Sebastian

AU - Evans, Alan

AU - Spenger, Christian

AU - Lovestone, Simon

AU - Soininen, Hilkka

PY - 2010/8

Y1 - 2010/8

N2 - We determined predictors of conversion to Alzheimer's disease (AD) from mild cognitive impairment (MCI) with automated magnetic resonance imaging (MRI) regional cortical volume and thickness measures. One hundred amnestic MCI subjects, 118 AD patients, and 94 age-matched healthy controls were selected from AddNeuroMed study. Twenty-four regional cortical volumes and 34 cortical thicknesses were measured with automated image processing software at baseline. Twenty-one subjects converted from MCI to AD determined with the cognitive tests at baseline and 1 year later. The hippocampus, amygdala, and caudate volumes were significantly smaller in progressive MCI subjects than in controls and stable MCI subjects. The cortical volumes achieved higher predictive accuracy than did cognitive tests or cortical thickness. Combining the volumes, thicknesses, and cognitive tests did not improve the accuracy. The volume of amygdala and caudate were independent variables in predicting conversion from MCI to AD. We conclude that regional cortical volume measures are more powerful than those common cognitive tests we used in identifying AD patients at the very earliest stage of the disease. (C) 2010 Elsevier Inc. All rights reserved.

AB - We determined predictors of conversion to Alzheimer's disease (AD) from mild cognitive impairment (MCI) with automated magnetic resonance imaging (MRI) regional cortical volume and thickness measures. One hundred amnestic MCI subjects, 118 AD patients, and 94 age-matched healthy controls were selected from AddNeuroMed study. Twenty-four regional cortical volumes and 34 cortical thicknesses were measured with automated image processing software at baseline. Twenty-one subjects converted from MCI to AD determined with the cognitive tests at baseline and 1 year later. The hippocampus, amygdala, and caudate volumes were significantly smaller in progressive MCI subjects than in controls and stable MCI subjects. The cortical volumes achieved higher predictive accuracy than did cognitive tests or cortical thickness. Combining the volumes, thicknesses, and cognitive tests did not improve the accuracy. The volume of amygdala and caudate were independent variables in predicting conversion from MCI to AD. We conclude that regional cortical volume measures are more powerful than those common cognitive tests we used in identifying AD patients at the very earliest stage of the disease. (C) 2010 Elsevier Inc. All rights reserved.

U2 - 10.1016/j.neurobiolaging.2010.01.022

DO - 10.1016/j.neurobiolaging.2010.01.022

M3 - Article

SN - 1558-1497

VL - 31

SP - 1375

EP - 1385

JO - Neurobiology of Aging

JF - Neurobiology of Aging

IS - 8

ER -

Analysis of regional MRI volumes and thicknesses as predictors of conversion from mild cognitive impairment to Alzheimer's disease

Abstract

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