ArticleNeuroscience2015
Tract-based analysis of white matter degeneration in Alzheimer's disease.
Article in Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed, 88 citations in OpenAlex.
- Strategic locations of white matter hyperintensities associated with cognitive impairment across the cognitive spectrum among rural older adults: a population-based study.Alzheimer's research & therapy · 2026Article
- Structural changes in gray matter and white matter across the Alzheimer's disease continuum.Frontiers in neuroscience · 2026Article
- Sex differences in diffusion-weighted imaging outcomes in autosomal dominant Alzheimer's disease.Brain communications · 2026Article
- Evolutionary sex bias in cognitive response to new environmental risk factor - PM2.5.Biology of sex differences · 2025Review
- Hippocampal grey matter changes across scales in Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025Article
- White matter microstructure is differentially impacted by cerebral amyloid angiopathy, neurofibrillary tangles, and neuritic plaque co-pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- A whole-brain structural connectivity signature in adult Niemann-Pick disease type C.Brain communications · 2025Article
- Identifying obesity and dementia risk: body adiposity and neural connectivity in cognitively normal, mid-life adults.NPJ dementia · 2025Article
- Association Between White Matter Tract Integrity and Frontal-Executive Function in Non-Geriatric Adult Patients With Major Depressive Disorder.Psychiatry investigation · 2024Article
- Multi-tensor fixel-based metrics in tractometry: application to multiple sclerosis.Frontiers in neuroscience · 2024Article
- Diffusion Tensor Imaging in Alzheimer's Studies.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Tract-based analyses of white matter in schizophrenia, bipolar disorder, aging, and dementia using high spatial and directional resolution diffusion imaging: a pilot study.Frontiers in psychiatry · 2024Article
- Associations between white matter integrity of the cingulum bundle, surrounding gray matter regions, and cognition across the dementia continuum.The Journal of comparative neurology · 2023Article
- Differential diagnosis of neurodegenerative dementias with the explainable MRI based machine learning algorithm MUQUBIA.Scientific reports · 2023Article
- Reproducible Abnormalities and Diagnostic Generalizability of White Matter in Alzheimer's Disease.Neuroscience bulletin · 2023Article
- Influence of mild cognitive impairment and body mass index on white matter integrity assessed by diffusion tensor imaging.Psychophysiology · 2023Article
- High-frequency longitudinal white matter diffusion- and myelin-based MRI database: Reliability and variability.Human brain mapping · 2023Article
- Diffusion tensor imaging tractography in the one-humped camel (Frontiers in veterinary science · 2023Article
- Association Between the C4 Binding Protein Level and White Matter Integrity in Major Depressive Disorder.Psychiatry investigation · 2022Article
- Tau deposition and structural connectivity demonstrate differential association patterns with neurocognitive tests.Brain imaging and behavior · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Although much prior work has focused on the known cortical pathology that defines Alzheimer's disease (AD) histologically, recent work has additionally demonstrated substantial damage to the cerebral white matter in this condition. While there is large evidence of diffuse damage to the white matter in AD, it is unclear whether specific white matter tracts exhibit a more accelerated pattern of damage and whether the damage is associated with the classical neurodegenerative changes of AD. In this study, we investigated microstructural differences in the large fascicular bundles of the cerebral white matter of individuals with AD and mild cognitive impairment (MCI), using recently developed automated diffusion tractography procedures in the Alzheimer's disease Neuroimaging Initiative (ADNI) dataset. Eighteen major fiber bundles in a total of 36 individuals with AD, 81 MCI and 60 control participants were examined with the TRActs Constrained by UnderLying Anatomy (TRACULA) procedure available as part of the FreeSurfer image processing software package. For each fiber bundle, the mean fractional anisotropy (FA), and mean, radial and axial diffusivities were calculated. Individuals with AD had increased diffusivities in both left and right cingulum-angular bundles compared to control participants (p<0.001). Individuals with MCI also had increased axial and mean diffusivities and increased FA in both cingulum-angular bundles compared to control participants (p<0.05) and decreased radial diffusivity compared to individuals with AD (p<0.05). We additionally examined how white matter deterioration relates to hippocampal volume, a traditional imaging measure of AD pathology, and found the strongest negative correlations in AD patients between hippocampal volume and the diffusivities of the cingulum-angular and cingulum-cingulate gyrus bundles and of the corticospinal tracts (p<0.05). However, statistically controlling for hippocampal volume did not remove all group differences in white matter measures, suggesting a unique contribution of white matter damage to AD unexplained by this disease biomarker. These results suggest that (1) AD-associated deterioration of white matter fibers is greatest in tracts known to be connected to areas of pathology in AD and (2) lower white matter tract integrity is more diffusely associated with lower hippocampal volume indicating that the pathology in the white matter follows to some degree the neurodegenerative staging and progression of this condition.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.