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

Publikation: Bidrag til tidsskriftTidsskriftartikel

Standard

Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI. / Erleben, Lene Lillemark; Sørensen, Lauge Emil; Pai, Akshay Sadananda Uppinakudru; Dam, Erik Bjørnager; Nielsen, Mads; Initiative, Alzheimer's Disease Neuroimaging.

I: BMC Medical Imaging, Bind 14, Nr. 1, 21, 2014.

Publikation: Bidrag til tidsskriftTidsskriftartikel

Harvard

Erleben, LL, Sørensen, LE, Pai, ASU, Dam, EB, Nielsen, M & Initiative, ADN 2014, 'Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI' BMC Medical Imaging, bind 14, nr. 1, 21. DOI: 10.1186/1471-2342-14-21

APA

Erleben, L. L., Sørensen, L. E., Pai, A. S. U., Dam, E. B., Nielsen, M., & Initiative, A. D. N. (2014). Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI. BMC Medical Imaging, 14(1), [21]. DOI: 10.1186/1471-2342-14-21

Vancouver

Erleben LL, Sørensen LE, Pai ASU, Dam EB, Nielsen M, Initiative ADN. Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI. BMC Medical Imaging. 2014;14(1). 21. Tilgængelig fra, DOI: 10.1186/1471-2342-14-21

Author

Erleben, Lene Lillemark ; Sørensen, Lauge Emil ; Pai, Akshay Sadananda Uppinakudru ; Dam, Erik Bjørnager ; Nielsen, Mads ; Initiative, Alzheimer's Disease Neuroimaging. / Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI. I: BMC Medical Imaging. 2014 ; Bind 14, Nr. 1.

Bibtex

@article{7270a86ceaca44f0870143fe06271521,
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",
author = "Erleben, {Lene Lillemark} and S{\o}rensen, {Lauge Emil} and Pai, {Akshay Sadananda Uppinakudru} and Dam, {Erik Bj{\o}rnager} and Mads Nielsen and Initiative, {Alzheimer's Disease Neuroimaging}",
note = "OA",
year = "2014",
doi = "10.1186/1471-2342-14-21",
language = "English",
volume = "14",
journal = "B M C Medical Imaging",
issn = "1471-2342",
publisher = "BioMed Central Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI

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

Y1 - 2014

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

U2 - 10.1186/1471-2342-14-21

DO - 10.1186/1471-2342-14-21

M3 - Journal article

VL - 14

JO - B M C Medical Imaging

T2 - B M C Medical Imaging

JF - B M C Medical Imaging

SN - 1471-2342

IS - 1

M1 - 21

ER -

ID: 113739946