The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.
Is Alzheimer’s a disease of the white matter?
Abstract
PURPOSE OF REVIEW: Alzheimer's disease has long been primarily considered a disease of gray matter. However, convergent evidence has suggested that white matter abnormalities are also important components of Alzheimer's disease. We undertook a review of the recent findings of Alzheimer's disease related white matter aberrations identified in patients with Alzheimer's disease and using in-vitro and in-vivo models, and discuss the potential causes of white matter damage in Alzheimer's disease. In doing so, we aim to provide a renewed insight into white matter changes in Alzheimer's disease and related dementias. RECENT FINDINGS: Neuroimaging studies have found that patients with preclinical Alzheimer's disease have widespread white matter abnormalities at a stage similar to those reported in Alzheimer's disease, whereas gray matter structures were relatively intact. In addition, demyelination of the white matter is reported to occur prior to the presence of amyloid-β plaques and neurofibrillary tangles in the presymptomatic stages of Alzheimer's disease. Furthermore, in a mouse model of Alzheimer's disease, axonal disease due to impaired axonal transport was shown to precede and drive downstream production and aggregation of amyloid β peptides. SUMMARY: White matter abnormalities not only represent an early neuropathological event in Alzheimer's disease but may also play an important role in the pathogenesis and diagnosis of Alzheimer's disease.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Thus, increased amyloid pathology may contribute to microvascular damage leading to white matter degeneration (for review see Sachdev et al., 2013).”
From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as Sachdev et al., 2013
In the citing paper
“white matter abnormalities have been widely reported in the brains of incipient and mildly afflicted individuals (Sachdev et al., 2013).”
From Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging (2022) · cites this paper as Sachdev et al., 2013
In the citing paper
“In aggregate, these studies point to WM abnormalities in AD, which may play a key role in early pathogenesis and diagnosis (Sachdev et al., 2013).”
From Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3 (2019) · cites this paper as Sachdev et al., 2013
Citations
Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
Soluble protein oligomers in neurodegeneration: lessons from the Alzheimer's amyloid β-peptide
Haass, C., & Selkoe, D. J. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2101 · Cited by 4,744
Alzheimer's Disease Is a Synaptic Failure
Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420
Diffusion tensor imaging: Concepts and applications
Le Bihan, D., Mangin, J., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1076 · Cited by 3,547
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
Silent Brain Infarcts and the Risk of Dementia and Cognitive Decline
Vermeer, S. E., Prins, N. D., den Heijer, T., Hofman, A., Koudstaal, P. J., & Breteler, M. M. B. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022066 · Cited by 2,313
Tau Suppression in a Neurodegenerative Mouse Model Improves Memory Function
SantaCruz, K., Lewis, J., Spires, T., Paulson, J., Kotilinek, L., Ingelsson, M., Guimaraes, A., DeTure, M., Ramsden, M., McGowan, E., et al. (2005) · Science · doi:10.1126/science.1113694 · Cited by 2,014
Reducing Endogenous Tau Ameliorates Amyloid ß-Induced Deficits in an Alzheimer's Disease Mouse Model
Roberson, E. D., Scearce-Levie, K., Palop, J. J., Yan, F., Cheng, I. H., Wu, T., Gerstein, H., Yu, G.-Q., & Mucke, L. (2007) · Science · doi:10.1126/science.1141736 · Cited by 1,892
Flagged first, then by citations
Research works printed but not linked: 1
- Love, 2004, Contribution of cerebral amyloid angiopathy to Alzheimers disease., J Neurol Neurosurg Psychiatry, 75, 1
Cited by
Sorted by citations
Items 101–137 of 137
Benedusi, V. (2018) · Materials and Methods · doi:10.13070/mm.en.8.2665 · Cited by 5
Wakabayashi, Y., Ishii, K., Hosokawa, C., Hyodo, T., Kaida, H., Yamada, M., Yagyu, Y., Tsurusaki, M., Kozuka, T., Sugimura, K., et al. (2017) · Europe PMC (PubMed Central) · doi:10.24546/81009759 · Cited by 4
Changing landscapes in the neuroimaging of dementia
Ranganathan, L. N., Guhan, R., Shivaraman, M. A., LeninSankar, P., Srinivasan, A. V., Suriyakumar, G., & Periakaruppan, A. L. (2018) · Annals of Indian Academy of Neurology · doi:10.4103/aian.aian_48_18 · Cited by 3
Gakare, S. G., Bhatt, J. M., Narasimhan, K. K. S., & Dravid, S. M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0294583 · Cited by 4
Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease
Gao, C., Kim, M. E., Ramadass, K., Kanakaraj, P., Krishnan, A. R., Saunders, A. M., Newlin, N. R., Lee, H. H., Yang, Q., Taylor, W. D., et al. (2025) · Imaging Neuroscience · doi:10.1162/imag_a_00552 · Cited by 3
Longitudinal diffusion tensor imaging correlates with amyloid burden in Down syndrome
LeMerise, L., Guerrero-Gonzalez, J. M., McVea, A. K., Zammit, M. D., Kecskemeti, S., Hartley, S. L., Head, E., Mapstone, M., Handen, B. L., Alexander, A. L., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70572 · Cited by 3
Chwa, W. J., Raji, C. A., Toups, K., Hathaway, A., Gordon, D., Chung, H., Boyd, A., Hill, B. D., Hausman-Cohen, S., Attarha, M., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230481 · Cited by 1
Possibilities and prospects of the MR morphometry method in the diagnosis of dementia
Ternovykh, I. К., Vorobyev, S. V., Yanishevskiy, S. N., Tantasheva, A. M., Shubina, К. M., Antusheva, M. S., & Satieva, M. G. (2024) · Meditsinskiy sovet = Medical Council · doi:10.21518/ms2024-289 · Cited by 1
Guo, L., Liu, Y., & Wang, J. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.727928 · Cited by 1
The role of oligodendrocytes in higher-order circuit functions
Corona, S. Y. M. (2018) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-7137
Modelling the Neuroanatomical Progression of Alzheimer's Disease and Posterior Cortical AtrophyPreprint
Marinescu, R. V. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.04805 · Cited by 1
Pathak, A., Sharma, V., Roy, D., & Banerjee, A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.24.465613 · Cited by 1
Advanced MRI Analysis for Computer-Aided Diagnosis of Dementia
Bron, E. E. (2016) · EUR Research Repository (Erasmus University Rotterdam)
Imaging mouse models of neurodegeneration using multi-parametric MRI
Holmes, H. (2015) · UCL Discovery (University College London)
Alzheimer’s Disease and white matter
Filley, C. M. (2016) · Cambridge University Press eBooks · doi:10.1017/cbo9781139548878.016
Tohid, H. (2016) · International Journal of Neurology and Brain Disorders · doi:10.15436/2377-1348.16.795
XI Convegno Nazionale: Firenze, 17–19 marzo 2016, Palazzo dei Congressi – Villa Vittoria
(2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-169001
Intraindividual variability and micro-structural white matter changes in Alzheimer’s disease
Engelbrecht, K. (2019) · Open University of Cape Town (University of Cape Town)
Binette, A. P., Theaud, G., Rheault, F., Roy, M., Collins, D. L., Breitner, J. C. S., Poirier, J., Descoteaux, M., & Villeneuve, S. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.27.266551
Farace, P., & Tamburin, S. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-215041
Folego, G. (2018) · doi:10.47749/t/unicamp.2018.1080338
Meet the Frontier Section Editor
Braidy, N. (2023) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/187152732204230116112705
Varnagar, C. R., & Shah, H. B. (2023) · MGM Journal of Medical Sciences · doi:10.4103/mgmj.mgmj_53_23
He, X., Wu, B., Kuo, K., Zhang, W., Ma, Q., Xiang, S., Li, Y., Wang, Z.-Y., Dong, Q., Feng, J., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23512817
Housni, I., Detcheverry, F. E., Singh, M., Dadar, M., Anastassiadis, C., Filali‐Mouhim, A., Masellis, M., Ismail, Z., Smith, E. E., Duchesne, S., et al. (2024) · medRxiv · doi:10.1101/2024.09.29.24314328
Genetic architecture of the limbic white matter microstructure in aging and Alzheimer's Disease
Lorenz, A., Sathe, A., Yang, Y., Durant, A., Wu, Y., Kim, M. E., Gao, C., Newlin, N. R., Ramadass, K., Kanakaraj, P., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71630
Li, Z., Sun, Y., Li, T., Liu, J., Peng, B., Zhong, L., Liu, L., Chen, Y., Zhang, Z., & Initiative, A. D. N. (2025) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70192
Farhat, N., Li, J., Berardinelli, J., Stauffer, M., Sajewski, A. N., Alkhateeb, S. K., Schweitzer, N., Jin, H., Wood, S., Ikonomović, M. D., et al. (2025) · Journal of Neuroimaging · doi:10.1111/jon.70094
He, X.-Y., Wu, B.-S., Kuo, K., Zhang, W., Ma, Q., Xiang, S.-T., Li, Y.-Z., Wang, Z.-Y., Dong, Q., Feng, J.-F., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23512814
Cha, W., Yi, D., Ahn, H., Byun, M. S., Chang, Y. Y., Choi, J.-M., Kim, K., Choi, H., Jung, G., Kang, K. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25367341
Falangola, M. F., Voltin, J. R., Cole, M., Nietert, P., Liu, F., Iqbal, K., & Jensen, J. H. (2026) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2026.110641
Morcillo-Nieto, A. O., Franquesa‐Mullerat, M., Zsadanyi, S. E., Arriola‐Infante, J. E., Vaqué‐Alcázar, L., Aranha, M. R., Parra, J. A., Zhao, Z., Arranz, J., Rodríguez‐Baz, Í., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71507
Qiu, Y., & Jiao, C. (2026) · Brain Sciences · doi:10.3390/brainsci16060655
Beyond gray matter: unveiling the critical role of white matter in Alzheimer's disease
Gao, K., Bao, J., 宋友军, Lin, C., Iturria‐Medina, Y., Biswal, B. B., & Wang, P. (2026) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2026.111816
Wei, C., & Xiong, X. (2026) · Journal of Cellular Physiology · doi:10.1002/jcp.70245
Metadata
- Authors
- Sachdev, P. S., Zhuang, L., Braidy, N., & Wen, W.
- Affiliations
- UNSW Sydney (AU)
- Corresponding author
- Sachdev, Perminder S.
- Venue
- Current Opinion in Psychiatry
- Published
- 2013-05
- Volume
- 26
- Issue
- 3
- Pages
- 244-251
- ISSN
- 0951-7367 (ISSN-L)
- OpenAlex
- W2086015438
- Cited by
- 137
- References
- 101
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 14 · 2023: 16 · 2022: 12 · 2021: 16 · 2020: 11 · 2019: 9 · 2018: 13 · 2017: 9 · 2016: 10 · 2015: 5 · 2014: 8 · 2013: 2
- FWCI
- 0.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Opinion in Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Health and Medical Research Council
- National Medical Research Council
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, white matter abnormalities, demyelination, amyloid-beta, preclinical Alzheimer's disease, neurofibrillary tangles, mouse models of Alzheimer's disease, dementia pathogenesis, early diagnosis
- MeSH terms
- Alzheimer Disease, Animals, Disease Models, Animal, Humans, Mice, Leukoencephalopathies, Neuroimaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review