Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI

Lene Lillemark Erleben; Lauge Emil Sørensen; Akshay Sadananda Uppinakudru Pai; Erik Bjørnager Dam; Mads Nielsen; Alzheimer's Disease Neuroimaging Initiative

doi:10.1186/1471-2342-14-21

Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI

Lene Lillemark Erleben, Lauge Emil Sørensen, Akshay Sadananda Uppinakudru Pai, Erik Bjørnager Dam, Mads Nielsen, Alzheimer's Disease Neuroimaging Initiative

Department of Computer Science

25 Citations (Scopus)

3181 Downloads (Pure)

Abstract

BACKGROUND:Alzheimer's disease (AD) is a progressive, incurable neurodegenerative disease and the most common type of dementia. It cannot be prevented, cured or drastically slowed, even though AD research has increased in the past 5-10 years. Instead of focusing on the brain volume or on the single brain structures like hippocampus, this paper investigates the relationship and proximity between regions in the brain and uses this information as a novel way of classifying normal control (NC), mild cognitive impaired (MCI), and AD subjects.METHODS:A longitudinal cohort of 528 subjects (170 NC, 240 MCI, and 114 AD) from ADNI at baseline and month 12 was studied. We investigated a marker based on Procrustes aligned center of masses and the percentile surface connectivity between regions. These markers were classified using a linear discriminant analysis in a cross validation setting and compared to whole brain and hippocampus volume.RESULTS:We found that both our markers was able to significantly classify the subjects. The surface connectivity marker showed the best results with an area under the curve (AUC) at 0.877 (p

Original language	English
Article number	21
Journal	BMC Medical Imaging
Volume	14
Issue number	1
Number of pages	12
ISSN	1471-2342
DOIs	https://doi.org/10.1186/1471-2342-14-21
Publication status	Published - Jun 2014

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Brain region’s relative proximity as marker for Alzheimer’s disease based on structural MRIFinal published version, 491 KBLicence: CC BY

Cite this

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title = "Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI",

abstract = "BACKGROUND:Alzheimer's disease (AD) is a progressive, incurable neurodegenerative disease and the most common type of dementia. It cannot be prevented, cured or drastically slowed, even though AD research has increased in the past 5-10 years. Instead of focusing on the brain volume or on the single brain structures like hippocampus, this paper investigates the relationship and proximity between regions in the brain and uses this information as a novel way of classifying normal control (NC), mild cognitive impaired (MCI), and AD subjects.METHODS:A longitudinal cohort of 528 subjects (170 NC, 240 MCI, and 114 AD) from ADNI at baseline and month 12 was studied. We investigated a marker based on Procrustes aligned center of masses and the percentile surface connectivity between regions. These markers were classified using a linear discriminant analysis in a cross validation setting and compared to whole brain and hippocampus volume.RESULTS:We found that both our markers was able to significantly classify the subjects. The surface connectivity marker showed the best results with an area under the curve (AUC) at 0.877 (p",

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AU - Erleben, Lene Lillemark

AU - Sørensen, Lauge Emil

AU - Pai, Akshay Sadananda Uppinakudru

AU - Dam, Erik Bjørnager

AU - Nielsen, Mads

AU - Initiative, Alzheimer's Disease Neuroimaging

N1 - OA

PY - 2014/6

Y1 - 2014/6

N2 - BACKGROUND:Alzheimer's disease (AD) is a progressive, incurable neurodegenerative disease and the most common type of dementia. It cannot be prevented, cured or drastically slowed, even though AD research has increased in the past 5-10 years. Instead of focusing on the brain volume or on the single brain structures like hippocampus, this paper investigates the relationship and proximity between regions in the brain and uses this information as a novel way of classifying normal control (NC), mild cognitive impaired (MCI), and AD subjects.METHODS:A longitudinal cohort of 528 subjects (170 NC, 240 MCI, and 114 AD) from ADNI at baseline and month 12 was studied. We investigated a marker based on Procrustes aligned center of masses and the percentile surface connectivity between regions. These markers were classified using a linear discriminant analysis in a cross validation setting and compared to whole brain and hippocampus volume.RESULTS:We found that both our markers was able to significantly classify the subjects. The surface connectivity marker showed the best results with an area under the curve (AUC) at 0.877 (p

AB - BACKGROUND:Alzheimer's disease (AD) is a progressive, incurable neurodegenerative disease and the most common type of dementia. It cannot be prevented, cured or drastically slowed, even though AD research has increased in the past 5-10 years. Instead of focusing on the brain volume or on the single brain structures like hippocampus, this paper investigates the relationship and proximity between regions in the brain and uses this information as a novel way of classifying normal control (NC), mild cognitive impaired (MCI), and AD subjects.METHODS:A longitudinal cohort of 528 subjects (170 NC, 240 MCI, and 114 AD) from ADNI at baseline and month 12 was studied. We investigated a marker based on Procrustes aligned center of masses and the percentile surface connectivity between regions. These markers were classified using a linear discriminant analysis in a cross validation setting and compared to whole brain and hippocampus volume.RESULTS:We found that both our markers was able to significantly classify the subjects. The surface connectivity marker showed the best results with an area under the curve (AUC) at 0.877 (p

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