ArticleFrontiers in neuroscience2020
Aberrant White Matter Microstructure as a Potential Diagnostic Marker in Alzheimer's Disease by Automated Fiber Quantification.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis.Alzheimer's research & therapy · 2025Pooled it
- Macro-Micro structural integration for characterizing severity-related structural alterations in mild cognitive impairment.NeuroImage. Clinical · 2026Article
- White Matter Microstructural Alterations Are Linked to Cognitive Impairment in Patients with Fabry Disease: an Automated Fiber Quantification Study.Clinical neuroradiology · 2026Article
- Alzheimer-related individual factors modulate effects of transcranial direct current stimulation strength on white matter integrity in mild cognitive impairment.Scientific reports · 2025Article
- White matter microstructural alterations and brain metabolism distributions in Parkinson's disease.Brain imaging and behavior · 2025Article
- Brain white matter microstructural alterations in patients with diabetic retinopathy: an automated fiber-tract quantification study.Quantitative imaging in medicine and surgery · 2025Article
- Article
- White matter microstructure damage measured by automated fiber quantification correlates with pain symptoms in lung cancer patients.Brain imaging and behavior · 2024Article
- Diffusion spectrum imaging in patients with idiopathic normal pressure hydrocephalus: correlation with ventricular enlargement.BMC neurology · 2024Article
- A normative modeling approach to quantify white matter changes and predict functional outcomes in stroke patients.Frontiers in neuroscience · 2024Article
- Functional network connectivity patterns predicting the efficacy of repetitive transcranial magnetic stimulation in the spectrum of Alzheimer's disease.European radiology experimental · 2023Article
- Automated three-dimensional major white matter bundle segmentation using diffusion magnetic resonance imaging.Anatomical science international · 2023Review
- White Matter Characteristics of Damage Along Fiber Tracts in Patients with Type 2 Diabetes Mellitus.Clinical neuroradiology · 2023Article
- Microstructure abnormalities of the diffusion quantities in children with attention-deficit/hyperactivity disorder: an AFQ and TBSS study.Frontiers in psychiatry · 2023Article
- Characterizing White Matter Changes along Fibers in Treatment-Naive Pediatric Posttraumatic Stress Disorder.Depression and anxiety · 2023Article
- Psychoradiological abnormalities in treatment-naive noncomorbid patients with posttraumatic stress disorder.Depression and anxiety · 2022Article
- General additive models address statistical issues in diffusion MRI: An example with clinically anxious adolescents.NeuroImage. Clinical · 2022Article
- White matter integrity in patients with classic trigeminal neuralgia: a multi-node automated fiber tract quantification study.The Journal of international medical research · 2021Article
- Segmental Abnormalities of White Matter Microstructure in End-Stage Renal Disease Patients: An Automated Fiber Quantification Tractography Study.Frontiers in neuroscience · 2021Article
- Evaluation of Error Production in Animal Fluency and Its Relationship to Frontal Tracts in Normal Aging and Mild Alzheimer's Disease: A Combined LDA and Time-Course Analysis Investigation.Frontiers in aging neuroscience · 2021Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuroimaging evidence has suggested white matter microstructure are heavily affected in Alzheimer's disease (AD). However, whether white matter dysfunction is localized at the specific regions of fiber tracts and whether they would be a potential biomarker for AD remain unclear. By automated fiber quantification (AFQ), we applied diffusion tensor images from 25 healthy controls (HC), 24 amnestic mild cognitive impairment (aMCI) patients and 18 AD patients to create tract profiles along 16 major white matter fibers. We compared diffusion metrics [Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (DA), and radial diffusivity (DR)] between groups. To assess the diagnostic value, we applied a random forest (RF) classifier, a type of machine learning method. In the global tract level, we found that aMCI and AD patients showed higher MD, DA, and DR values in some fiber tracts mostly in the left hemisphere compared to HC. In the point-wise level, widespread disruption were distributed on specific locations of different tracts. The point-wise MD measurements presented the best classification performance with respect to differentiating AD from HC. The two most important variables were localized in the prefrontal potion of left uncinate fasciculus and anterior thalamic radiation. In addition, the point-wise DA in the posterior component of the left cingulum cingulate displayed the most robust discriminative ability to identify AD from aMCI. Our findings provide evidence that white matter abnormalities based on the AFQ method could be as a diagnostic biomarker in AD.
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