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Regional staging of white matter signal abnormalities in aging and Alzheimer's disease

White matter lesions, quantified as ‘white matter signal abnormalities’ (WMSA) on neuroimaging, are common incidental findings on brain images of older adults. This tissue damage is linked to cerebrovascular dysfunction and is associated with cognitive decline. The regional distribution of WMSA thro...

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Autores principales: Lindemer, Emily R., Greve, Douglas N., Fischl, Bruce R., Augustinack, Jean C., Salat, David H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279704/
https://www.ncbi.nlm.nih.gov/pubmed/28180074
http://dx.doi.org/10.1016/j.nicl.2017.01.022
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author Lindemer, Emily R.
Greve, Douglas N.
Fischl, Bruce R.
Augustinack, Jean C.
Salat, David H.
author_facet Lindemer, Emily R.
Greve, Douglas N.
Fischl, Bruce R.
Augustinack, Jean C.
Salat, David H.
author_sort Lindemer, Emily R.
collection PubMed
description White matter lesions, quantified as ‘white matter signal abnormalities’ (WMSA) on neuroimaging, are common incidental findings on brain images of older adults. This tissue damage is linked to cerebrovascular dysfunction and is associated with cognitive decline. The regional distribution of WMSA throughout the cerebral white matter has been described at a gross scale; however, to date no prior study has described regional patterns relative to cortical gyral landmarks which may be important for understanding functional impact. Additionally, no prior study has described how regional WMSA volume scales with total global WMSA. Such information could be used in the creation of a pathologic ‘staging’ of WMSA through a detailed regional characterization at the individual level. Magnetic resonance imaging data from 97 cognitively-healthy older individuals (OC) aged 52–90 from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study were processed using a novel WMSA labeling procedure described in our prior work. WMSA were quantified regionally using a procedure that segments the cerebral white matter into 35 bilateral units based on proximity to landmarks in the cerebral cortex. An initial staging was performed by quantifying the regional WMSA volume in four groups based on quartiles of total WMSA volume (quartiles I–IV). A consistent spatial pattern of WMSA accumulation was observed with increasing quartile. A clustering procedure was then used to distinguish regions based on patterns of scaling of regional WMSA to global WMSA. Three patterns were extracted that showed high, medium, and non-scaling with global WMSA. Regions in the high-scaling cluster included periventricular, caudal and rostral middle frontal, inferior and superior parietal, supramarginal, and precuneus white matter. A data-driven staging procedure was then created based on patterns of WMSA scaling and specific regional cut-off values from the quartile analyses. Individuals with Alzheimer's disease (AD) and mild cognitive impairment (MCI) were then additionally staged, and significant differences in the percent of each diagnostic group in Stages I and IV were observed, with more AD individuals residing in Stage IV and more OC and MCI individuals residing in Stage I. These data demonstrate a consistent regional scaling relationship between global and regional WMSA that can be used to classify individuals into one of four stages of white matter disease. White matter staging could play an important role in a better understanding and the treatment of cerebrovascular contributions to brain aging and dementia.
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spelling pubmed-52797042017-02-08 Regional staging of white matter signal abnormalities in aging and Alzheimer's disease Lindemer, Emily R. Greve, Douglas N. Fischl, Bruce R. Augustinack, Jean C. Salat, David H. Neuroimage Clin Regular Article White matter lesions, quantified as ‘white matter signal abnormalities’ (WMSA) on neuroimaging, are common incidental findings on brain images of older adults. This tissue damage is linked to cerebrovascular dysfunction and is associated with cognitive decline. The regional distribution of WMSA throughout the cerebral white matter has been described at a gross scale; however, to date no prior study has described regional patterns relative to cortical gyral landmarks which may be important for understanding functional impact. Additionally, no prior study has described how regional WMSA volume scales with total global WMSA. Such information could be used in the creation of a pathologic ‘staging’ of WMSA through a detailed regional characterization at the individual level. Magnetic resonance imaging data from 97 cognitively-healthy older individuals (OC) aged 52–90 from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study were processed using a novel WMSA labeling procedure described in our prior work. WMSA were quantified regionally using a procedure that segments the cerebral white matter into 35 bilateral units based on proximity to landmarks in the cerebral cortex. An initial staging was performed by quantifying the regional WMSA volume in four groups based on quartiles of total WMSA volume (quartiles I–IV). A consistent spatial pattern of WMSA accumulation was observed with increasing quartile. A clustering procedure was then used to distinguish regions based on patterns of scaling of regional WMSA to global WMSA. Three patterns were extracted that showed high, medium, and non-scaling with global WMSA. Regions in the high-scaling cluster included periventricular, caudal and rostral middle frontal, inferior and superior parietal, supramarginal, and precuneus white matter. A data-driven staging procedure was then created based on patterns of WMSA scaling and specific regional cut-off values from the quartile analyses. Individuals with Alzheimer's disease (AD) and mild cognitive impairment (MCI) were then additionally staged, and significant differences in the percent of each diagnostic group in Stages I and IV were observed, with more AD individuals residing in Stage IV and more OC and MCI individuals residing in Stage I. These data demonstrate a consistent regional scaling relationship between global and regional WMSA that can be used to classify individuals into one of four stages of white matter disease. White matter staging could play an important role in a better understanding and the treatment of cerebrovascular contributions to brain aging and dementia. Elsevier 2017-01-23 /pmc/articles/PMC5279704/ /pubmed/28180074 http://dx.doi.org/10.1016/j.nicl.2017.01.022 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Lindemer, Emily R.
Greve, Douglas N.
Fischl, Bruce R.
Augustinack, Jean C.
Salat, David H.
Regional staging of white matter signal abnormalities in aging and Alzheimer's disease
title Regional staging of white matter signal abnormalities in aging and Alzheimer's disease
title_full Regional staging of white matter signal abnormalities in aging and Alzheimer's disease
title_fullStr Regional staging of white matter signal abnormalities in aging and Alzheimer's disease
title_full_unstemmed Regional staging of white matter signal abnormalities in aging and Alzheimer's disease
title_short Regional staging of white matter signal abnormalities in aging and Alzheimer's disease
title_sort regional staging of white matter signal abnormalities in aging and alzheimer's disease
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279704/
https://www.ncbi.nlm.nih.gov/pubmed/28180074
http://dx.doi.org/10.1016/j.nicl.2017.01.022
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