ArticleNeuroImage. Clinical2019
Gray matter structural covariance networks changes along the Alzheimer's disease continuum.
Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 46 citations in OpenAlex.
- Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning.NPJ digital medicine · 2026Article
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- Revealing heterogeneity in mild cognitive impairment based on individualized structural covariance network.Alzheimer's research & therapy · 2025Article
- The interplay between insomnia symptoms and Alzheimer's disease across three main brain networks.Sleep · 2024Article
- Exploring morphological similarity and randomness in Alzheimer's disease using adjacent grey matter voxel-based structural analysis.Alzheimer's research & therapy · 2024Article
- Axonal damage and inflammation response are biological correlates of decline in small-world values: a cohort study in autosomal dominant Alzheimer's disease.Brain communications · 2024Article
- The clinical and neuropsychological profiles of Alzheimer's disease with white matter hyperintensity in North China.Frontiers in neurology · 2024Article
- Associations of Blood Cardiovascular Biomarkers With Brain Free Water and Its Relationship to Cognitive Decline: A Diffusion-MRI Study.Neurology · 2023Article
- Altered structural covariance of locus coeruleus in individuals with significant memory concern and patients with mild cognitive impairment.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Hippocampus-centred grey matter covariance networks predict the development and reversion of mild cognitive impairment.Alzheimer's research & therapy · 2023Article
- Abnormal cortical thickness and structural covariance networks in systemic lupus erythematosus patients without major neuropsychiatric manifestations.Arthritis research & therapy · 2022Article
- Article
- Brain signatures based on structural MRI: Classification for MCI, PMCI, and AD.Human brain mapping · 2022Article
- Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Medial Temporal Lobe Networks in Alzheimer's Disease: Structural and Molecular Vulnerabilities.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Progressive structural and covariance connectivity abnormalities in patients with Alzheimer's disease.Frontiers in aging neuroscience · 2022Article
- Causal structural covariance network revealing atrophy progression in Alzheimer's disease continuum.Human brain mapping · 2021Article
- Polygenic Hazard Score Associated Multimodal Brain Networks Along the Alzheimer's Disease Continuum.Frontiers in aging neuroscience · 2021Article
- Gout Is Not Just Arthritis: Abnormal Cortical Thickness and Structural Covariance Networks in Gout.Frontiers in neurology · 2021Article
- Divergent Connectivity Changes in Gray Matter Structural Covariance Networks in Subjective Cognitive Decline, Amnestic Mild Cognitive Impairment, and Alzheimer's Disease.Frontiers in aging neuroscience · 2021Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
Alzheimer's disease (AD) has a long neuropathological accumulation phase before the onset of dementia. Such AD neuropathological deposition between neurons impairs the synaptic communication, resulting in networks disorganization. Our study aimed to explore the evolution patterns of gray matter structural covariance networks (SCNs) along AD continuum. Based on the AT(N) (i.e., Amyloid/Tau/Neurodegeneration) pathological classification system, we classified subjects into four groups using cerebrospinal fluid amyloid-beta
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Registered trials
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.