The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
White matter integrity and vulnerability to Alzheimer’s disease: preliminary findings and future directions
Open accessAbstract
Neuroimaging biomarkers that precede cognitive decline have the potential to aid early diagnosis of Alzheimer's disease (AD). A body of diffusion tensor imaging (DTI) work has demonstrated declines in white matter (WM) microstructure in AD and its typical prodromal state, amnestic mild cognitive impairment. The present review summarizes recent evidence suggesting that WM integrity declines are present in individuals at high AD-risk, prior to cognitive decline. The available data suggest that AD-risk is associated with WM integrity declines in a subset of tracts showing decline in symptomatic AD. Specifically, AD-risk has been associated with WM integrity declines in tracts that connect gray matter structures associated with memory function. These tracts include parahippocampal WM, the cingulum, the inferior fronto-occipital fasciculus, and the splenium of the corpus callosum. Preliminary evidence suggests that some AD-risk declines are characterized by increases of radial diffusivity, raising the possibility that a myelin-related pathology may contribute to AD onset. These findings justify future research aimed at a more complete understanding of the neurobiological bases of DTI-based declines in AD. With continued refinement of imaging methods, DTI holds promise as a method to aid identification of presymptomatic AD. This article is part of a Special Issue entitled: Imaging Brain Aging and Neurodegenerative disease.
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“AD pathology in the white matter includes the loss of myelin and a decrease in oligodendrocyte proteins [62–68].”
From Predominant expression of Alzheimer’s disease-associated BIN1 in mature oligodendrocytes and localization to white matter tracts (2016) · cites this paper as [68]
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“Despite these previous findings in symptomatic Alzheimer’s disease participants, white matter changes in the preclinical phase before the occurrence of cognitive impairment have been examined only in a few studies (Gold et al., 2012).”
From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as Gold et al., 2012
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Cites
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BackgroundTract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
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“The TBSS method has several advantages compared to other whole-brain analysis techniques including improved registration of WM tracts across subjects [41] and the lack of a need to apply an arbitrary smoothing kernel, which can produce different results based on kernel size [42].”
MethodMR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970 · cited 1×
“DTI is an extended form of diffusion-weighted tensor trace imaging that is sensitized to the motion of water molecules as they interact within tissues, thus reflecting characteristics of their immediate structural surroundings [24, 25].”
BackgroundThe basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
Apolipoprotein E: Cholesterol Transport Protein with Expanding Role in Cell Biology
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“In the brain, APOE is mainly produced by glial cells and is thought to be involved in neuronal growth and regeneration [15].”
BackgroundAssociation of apolipoprotein E allele ϵ4 with late‐onset familial and sporadic Alzheimer's disease
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Diffusion tensor MR imaging of the human brain
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“of axonal orientation compared to the direction orthogonal to the main fiber direction [26, 27].”
BackgroundDysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
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“Axial diffusivity (DA) reflects the diffusion coefficient along the direction of maximal 'apparent' diffusion (λ1), whereas radial diffusivity (DR) reflects the average diffusion coefficients along the two perpendicular directions ((λ2 + λ3)/2) [30].”
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“DTI is an extended form of diffusion-weighted tensor trace imaging that is sensitized to the motion of water molecules as they interact within tissues, thus reflecting characteristics of their immediate structural surroundings [24, 25].”
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Cited by
Sorted by citations
The role of myelin and oligodendrocytes in axonal energy metabolism
Saab, A. S., Tzvetanova, I. D., & Nave, K.-A. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.09.008 · Cited by 324
“It is tempting to speculate that the progression of other neuro-psychiatric disorders, including Alzheimer’s disease [3,61] and schizophrenia [62], could be likewise influenced by glycolytic oligodendrocytes and white matter abnormalities.”
BackgroundFibre-specific white matter reductions in Alzheimer’s disease and mild cognitive impairment
Mito, R., Raffelt, D., Dhollander, T., Vaughan, D. N., Tournier, J.-D., Salvado, O., Brodtmann, A., Rowe, C. C., Villemagne, V. L., & Connelly, A. (2018) · Brain · doi:10.1093/brain/awx355 · Cited by 309
“…the past decade, numerous DTI studies have re- ported spatial and temporal changes in white matter that arise over the course of Alzheimer’s disease, the results of which are summarized in a number of extensive reviews (Chua et al., 2008; Sexton et al., 2011; Gold et al., 2012; Mak et al., 2017).”
BackgroundAging in Down Syndrome and the Development of Alzheimer's Disease Neuropathology
Head, E., T. Lott, I., M. Wilcock, D., & A. Lemere, C. (2015) · Current Alzheimer Research · doi:10.2174/1567205012666151020114607 · Cited by 289
Cellular senescence and Alzheimer disease: the egg and the chicken scenario
Saez-Atienzar, S., & Masliah, E. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0325-z · Cited by 257
Aging of cerebral white matter
Liu, H., Yang, Y., Xia, Y., Zhu, W., Leak, R. K., Wei, Z., Wang, J., & Hu, X. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.11.006 · Cited by 276
Metadata
- Authors
- Gold, B. T., Johnson, N. F., Powell, D. K., & Smith, C. D.
- Affiliations
- University of Kentucky (US)
- Corresponding author
- Gold, Brian T.
- Venue
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
- Publisher
- Elsevier BV
- Published
- 2012-03
- Volume
- 1822
- Issue
- 3
- Pages
- 416-422
- ISSN
- 0925-4439 (ISSN-L)
- PMC
- PMC3213315
- OpenAlex
- W1984939243
- Cited by
- 170
- References
- 68
- Citations by year
- 2026: 10 · 2025: 9 · 2024: 13 · 2023: 10 · 2022: 12 · 2021: 6 · 2020: 9 · 2019: 8 · 2018: 12 · 2017: 16 · 2016: 16 · 2015: 12 · 2014: 15 · 2013: 16 · 2012: 6
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NINDS (R01 NS-36660)
- NIA (R01 AG033036)
- NSF (BCS-0814302)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, white matter integrity, diffusion tensor imaging, amnestic mild cognitive impairment, neuroimaging biomarkers, early diagnosis, radial diffusivity, myelin pathology, cingulum, inferior fronto-occipital fasciculus, splenium of corpus callosum, white matter microstructure
- MeSH terms
- Alzheimer Disease, Brain, Cognition Disorders, Humans, Nerve Fibers, Myelinated, Risk Factors, Diffusion Tensor Imaging
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