ArticleBMC neurology2020
Detection of gray matter microstructural changes in Alzheimer's disease continuum using fiber orientation.
Article in BMC neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 29 citations in OpenAlex.
- Longitudinal plasma proteomic evidence linking SARS-CoV-2 infection to increased β-amyloid pathology.Science China. Life sciences · 2025Article
- Hippocampal grey matter changes across scales in Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025Article
- Cortical macro- and microstructural changes in isolated rapid eye movement sleep behavior disorder.NPJ Parkinson's disease · 2025Article
- Layer-Dependent Effect of Aβ-Pathology on Cortical Microstructure With Ex Vivo Human Brain Diffusion MRI at 7 Tesla.Human brain mapping · 2025Article
- Article
- Distinct cerebral cortical microstructural changes in idiopathic normal-pressure hydrocephalus.Frontiers in neurology · 2025Article
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- Inter- and intra-individual variation in brain structural-cognition relationships in aging.NeuroImage · 2022Article
- Diagnosis of early mild cognitive impairment using a multiobjective optimization algorithm based on T1-MRI data.Scientific reports · 2022Article
- Free water derived by multi-shell diffusion MRI reflects tau/neuroinflammatory pathology in Alzheimer's disease.Alzheimer's & dementia (New York, N. Y.) · 2022Article
- Deep learning-based amyloid PET positivity classification model in the Alzheimer's disease continuum by using 2-[EJNMMI research · 2021Article
- Update on benign paroxysmal positional vertigo.Journal of neurology · 2021Review
- Exercise Training-Related Changes in Cortical Gray Matter Diffusivity and Cognitive Function in Mild Cognitive Impairment and Healthy Older Adults.Frontiers in aging neuroscience · 2021Article
- NODDI in gray matter is a sensitive marker of aging and early AD changes.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThis study aimed to investigate feasible gray matter microstructural biomarkers with high sensitivity for early Alzheimer's disease (AD) detection. We propose a diffusion tensor imaging (DTI) measure, "radiality", as an early AD biomarker. It is the dot product of the normal vector of the cortical surface and primary diffusion direction, which reflects the fiber orientation within the cortical column.
methodsWe analyzed neuroimages from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, including images from 78 cognitively normal (CN), 50 early mild cognitive impairment (EMCI), 34 late mild cognitive impairment (LMCI), and 39 AD patients. We then evaluated the cortical thickness (CTh), mean diffusivity (MD), which are conventional AD magnetic resonance imaging (MRI) biomarkers, and the amount of accumulated amyloid and tau using positron emission tomography (PET). Radiality was projected on the gray matter surface to compare and validate the changes with different stages alongside other neuroimage biomarkers.
resultsThe results revealed decreased radiality primarily in the entorhinal, insula, frontal, and temporal cortex with further progression of disease. In particular, radiality could delineate the difference between the CN and EMCI groups, while the other biomarkers could not. We examined the relationship between radiality and other biomarkers to validate its pathological evidence in AD. Overall, radiality showed a high association with conventional biomarkers. Additional ROI analysis revealed the dynamics of AD-related changes as stages onward.
conclusionRadiality in cortical gray matter showed AD-specific changes and relevance with other conventional AD biomarkers with high sensitivity. Moreover, radiality could identify the group differences seen in EMCI, representative of changes in early AD, which supports its superiority in early diagnosis compared to that possible with conventional biomarkers. We provide evidence of structural changes with cognitive impairment and suggest radiality as a sensitive biomarker for identifying early AD.
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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.