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

Datalogisk Institut

25 Citationer (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

Originalsprog	Engelsk
Artikelnummer	21
Tidsskrift	BMC Medical Imaging
Vol/bind	14
Udgave nummer	1
Antal sider	12
ISSN	1471-2342
DOI	https://doi.org/10.1186/1471-2342-14-21
Status	Udgivet - jun. 2014

Adgang til dokumentet

10.1186/1471-2342-14-21Licens: CC BY

Brain region’s relative proximity as marker for Alzheimer’s disease based on structural MRIForlagets udgivne version, 491 KBLicens: CC BY

Citationsformater

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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

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PY - 2014/6

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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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