publication . Article . Other literature type . 2018

Profiling heterogeneity of Alzheimer's disease using white-matter impairment factors

Xiuchao Sui; Jagath C. Rajapakse;
Open Access English
  • Published: 01 Oct 2018 Journal: NeuroImage : Clinical, volume 20, pages 1,222-1,232 (eissn: 2213-1582, Copyright policy)
  • Publisher: Elsevier
Abstract
The clinical presentation of Alzheimer's disease (AD) is not unitary as heterogeneity exists in the disease's clinical and anatomical characteristics. MRI studies have revealed that heterogeneous gray matter atrophy patterns are associated with specific traits of cognitive decline. Although white matter (WM) impairment also contributes to AD pathology, its heterogeneity remains unclear. The Latent Dirichlet Allocation (LDA) method is a suitable framework to study heterogeneity and allows to identify latent impairment factors of AD instead of simply mapping an overall disease effect. By exploring whole brain WM skeleton images by using LDA, three latent factors w...
Subjects
free text keywords: Regular Article, Heterogeneity, Alzheimer's disease, Mental disorder subtypes, White matter impairment, Latent dirichlet allocation, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429, Cognitive Neuroscience, Radiology Nuclear Medicine and imaging, Neurology, Clinical Neurology, Superior longitudinal fasciculus, medicine.anatomical_structure, medicine, Apolipoprotein E, Precuneus, Neuroscience, business.industry, business, Corpus callosum, Study heterogeneity, White matter, Parietal lobe, Cognitive decline
Related Organizations
Funded by
NIH| Alzheimers Disease Neuroimaging Initiative
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 1U01AG024904-01
  • Funding stream: NATIONAL INSTITUTE ON AGING
,
CIHR
Project
  • Funder: Canadian Institutes of Health Research (CIHR)
Communities
Neuroinformatics
60 references, page 1 of 4

!!!Invalid Citation!!!.

Acosta-Cabronero, J., Williams, G.B., Pengas, G., Nestor, P.J.. Absolute diffusivities define the landscape of white matter degeneration in Alzheimer's disease. Brain. 2009; 133: 529-539 [OpenAIRE] [PubMed]

Agosta, F., Pievani, M., Sala, S., Geroldi, C., Galluzzi, S., Frisoni, G.B.. White matter damage in Alzheimer disease and its relationship to gray matter atrophy. Radiology. 2011; 258: 853-863 [PubMed]

Barbey, A.K., Colom, R., Solomon, J., Krueger, F., Forbes, C., Grafman, J.. An integrative architecture for general intelligence and executive function revealed by lesion mapping. Brain. 2012; 135: 1154-1164 [OpenAIRE] [PubMed]

Bartzokis, G., Sultzer, D., Lu, P.H., Nuechterlein, K.H., Mintz, J., Cummings, J.L.. Heterogeneous age-related breakdown of white matter structural integrity: implications for cortical “disconnection” in aging and Alzheimer's disease. Neurobiol. Aging. 2004; 25: 843-851 [OpenAIRE] [PubMed]

Bennett, I.J., Madden, D.J.. Disconnected aging: cerebral white matter integrity and age-related differences in cognition. Neuroscience. 2014; 276: 187-205 [OpenAIRE] [PubMed]

Bernal-Rusiel, J.L., Greve, D.N., Reuter, M., Fischl, B., Sabuncu, M.R., A. S. D. N. Initiative, null. Statistical analysis of longitudinal neuroimage data with linear mixed effects models. NeuroImage. 2013; 66: 249-260 [OpenAIRE] [PubMed]

Blei, D.M., Ng, A.Y., Jordan, M.I.. Latent dirichlet allocation. J. Mach. Learn. Res.. 2003; 3: 993-1022

Bozzali, M., Falini, A., Franceschi, M., Cercignani, M., Zuffi, M., Scotti, G.. White matter damage in Alzheimer's disease assessed in vivo using diffusion tensor magnetic resonance imaging. J. Neurol. Neurosurg. Psychiatry. 2002; 72: 742-746 [OpenAIRE] [PubMed]

Brinkman, T.M., Reddick, W.E., Luxton, J., Glass, J.O., Sabin, N.D., Srivastava, D.K.. Cerebral white matter integrity and executive function in adult survivors of childhood medulloblastoma. Neuro-Oncology. 2012; 14: iv25-iv36 [OpenAIRE] [PubMed]

Butters, M.A., Lopez, O.L., Becker, J.T.. Focal temporal lobe dysfunction in probable Alzheimer's disease predicts a slow rate of cognitive decline. Neurology. 1996; 46: 687-692 [OpenAIRE] [PubMed]

Byun, M.S., Kim, S.E., Park, J., Yi, D., Choe, Y.M., Sohn, B.K.. Heterogeneity of regional brain atrophy patterns associated with distinct progression rates in Alzheimer's disease. PLoS ONE. 2015; 10

Cash, D.M., Rohrer, J.D., Ryan, N.S., Ourselin, S., Fox, N.C.. Imaging endpoints for clinical trials in Alzheimer's disease. Alzheimers Res. Ther.. 2014; 6: 87 [OpenAIRE] [PubMed]

Caso, F., Agosta, F., Mattavelli, D., Migliaccio, R., Canu, E., Magnani, G.. White matter degeneration in atypical Alzheimer disease. Radiology. 2015; 277: 162-172 [PubMed]

Crane, P.K., Carle, A., Gibbons, L.E., Insel, P., Mackin, R.S., Gross, A.. Development and assessment of a composite score for memory in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Brain Imag. Behav.. 2012; 6: 502-516

60 references, page 1 of 4
Abstract
The clinical presentation of Alzheimer's disease (AD) is not unitary as heterogeneity exists in the disease's clinical and anatomical characteristics. MRI studies have revealed that heterogeneous gray matter atrophy patterns are associated with specific traits of cognitive decline. Although white matter (WM) impairment also contributes to AD pathology, its heterogeneity remains unclear. The Latent Dirichlet Allocation (LDA) method is a suitable framework to study heterogeneity and allows to identify latent impairment factors of AD instead of simply mapping an overall disease effect. By exploring whole brain WM skeleton images by using LDA, three latent factors w...
Subjects
free text keywords: Regular Article, Heterogeneity, Alzheimer's disease, Mental disorder subtypes, White matter impairment, Latent dirichlet allocation, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429, Cognitive Neuroscience, Radiology Nuclear Medicine and imaging, Neurology, Clinical Neurology, Superior longitudinal fasciculus, medicine.anatomical_structure, medicine, Apolipoprotein E, Precuneus, Neuroscience, business.industry, business, Corpus callosum, Study heterogeneity, White matter, Parietal lobe, Cognitive decline
Related Organizations
Funded by
NIH| Alzheimers Disease Neuroimaging Initiative
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 1U01AG024904-01
  • Funding stream: NATIONAL INSTITUTE ON AGING
,
CIHR
Project
  • Funder: Canadian Institutes of Health Research (CIHR)
Communities
Neuroinformatics
60 references, page 1 of 4

!!!Invalid Citation!!!.

Acosta-Cabronero, J., Williams, G.B., Pengas, G., Nestor, P.J.. Absolute diffusivities define the landscape of white matter degeneration in Alzheimer's disease. Brain. 2009; 133: 529-539 [OpenAIRE] [PubMed]

Agosta, F., Pievani, M., Sala, S., Geroldi, C., Galluzzi, S., Frisoni, G.B.. White matter damage in Alzheimer disease and its relationship to gray matter atrophy. Radiology. 2011; 258: 853-863 [PubMed]

Barbey, A.K., Colom, R., Solomon, J., Krueger, F., Forbes, C., Grafman, J.. An integrative architecture for general intelligence and executive function revealed by lesion mapping. Brain. 2012; 135: 1154-1164 [OpenAIRE] [PubMed]

Bartzokis, G., Sultzer, D., Lu, P.H., Nuechterlein, K.H., Mintz, J., Cummings, J.L.. Heterogeneous age-related breakdown of white matter structural integrity: implications for cortical “disconnection” in aging and Alzheimer's disease. Neurobiol. Aging. 2004; 25: 843-851 [OpenAIRE] [PubMed]

Bennett, I.J., Madden, D.J.. Disconnected aging: cerebral white matter integrity and age-related differences in cognition. Neuroscience. 2014; 276: 187-205 [OpenAIRE] [PubMed]

Bernal-Rusiel, J.L., Greve, D.N., Reuter, M., Fischl, B., Sabuncu, M.R., A. S. D. N. Initiative, null. Statistical analysis of longitudinal neuroimage data with linear mixed effects models. NeuroImage. 2013; 66: 249-260 [OpenAIRE] [PubMed]

Blei, D.M., Ng, A.Y., Jordan, M.I.. Latent dirichlet allocation. J. Mach. Learn. Res.. 2003; 3: 993-1022

Bozzali, M., Falini, A., Franceschi, M., Cercignani, M., Zuffi, M., Scotti, G.. White matter damage in Alzheimer's disease assessed in vivo using diffusion tensor magnetic resonance imaging. J. Neurol. Neurosurg. Psychiatry. 2002; 72: 742-746 [OpenAIRE] [PubMed]

Brinkman, T.M., Reddick, W.E., Luxton, J., Glass, J.O., Sabin, N.D., Srivastava, D.K.. Cerebral white matter integrity and executive function in adult survivors of childhood medulloblastoma. Neuro-Oncology. 2012; 14: iv25-iv36 [OpenAIRE] [PubMed]

Butters, M.A., Lopez, O.L., Becker, J.T.. Focal temporal lobe dysfunction in probable Alzheimer's disease predicts a slow rate of cognitive decline. Neurology. 1996; 46: 687-692 [OpenAIRE] [PubMed]

Byun, M.S., Kim, S.E., Park, J., Yi, D., Choe, Y.M., Sohn, B.K.. Heterogeneity of regional brain atrophy patterns associated with distinct progression rates in Alzheimer's disease. PLoS ONE. 2015; 10

Cash, D.M., Rohrer, J.D., Ryan, N.S., Ourselin, S., Fox, N.C.. Imaging endpoints for clinical trials in Alzheimer's disease. Alzheimers Res. Ther.. 2014; 6: 87 [OpenAIRE] [PubMed]

Caso, F., Agosta, F., Mattavelli, D., Migliaccio, R., Canu, E., Magnani, G.. White matter degeneration in atypical Alzheimer disease. Radiology. 2015; 277: 162-172 [PubMed]

Crane, P.K., Carle, A., Gibbons, L.E., Insel, P., Mackin, R.S., Gross, A.. Development and assessment of a composite score for memory in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Brain Imag. Behav.. 2012; 6: 502-516

60 references, page 1 of 4
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