ArticleHuman brain mapping2021
Causal structural covariance network revealing atrophy progression in Alzheimer's disease continuum.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Network Centrality and Modularity of Structural Covariance Networks in Posttraumatic Stress Disorder: A Multisite ENIGMA-PGC Study.Brain connectivity · 2023Pooled it
- Exploring Gray Matter Alterations in Post-Stroke Patients: A Structural Covariance Analysis.Brain and behavior · 2026Article
- Reduced Whole-Brain Network Segregation and Dorsal Anterior-Cingulate Cortex Neurochemical Alterations in Chronic Smokers.Brain and behavior · 2026Article
- Causal Brain Network Alterations Across Disease Stages in Herpes Zoster and Postherpetic Neuralgia.Journal of pain research · 2026Article
- Neurotransmitter-based machine-learning model for distinguishing Alzheimer's disease and mild cognitive impairment.The Journal of international medical research · 2026Article
- Morphometric Similarity Loss and Gray Matter Atrophy Align with Neurotransmitter and Mitochondrial Maps in Drug-Resistant Epilepsy.Neuropsychiatric disease and treatment · 2026Article
- Article
- Anterior Insula Drives Progressive Structural Brain Network Atrophy in the Behavioural Variant of Frontotemporal Dementia.Human brain mapping · 2025Article
- Grey matter atrophy patterns of mobility shared across older adults with and without multiple sclerosis.Journal of neurology · 2025Article
- Decreased quantitative transport mapping velocity in the middle cerebral artery-supplied temporal lobe in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Revealing heterogeneity in mild cognitive impairment based on individualized structural covariance network.Alzheimer's research & therapy · 2025Article
- Dynamic and Static Structure-Function Coupling With Machine Learning for the Early Detection of Alzheimer's Disease.Human brain mapping · 2025Article
- Large-scale structural covariance networks changes relate to executive function deficit in betel quid-dependent chewers.Brain imaging and behavior · 2025Article
- White matter hyperintensities drive propagating grey matter atrophy in cerebral small vessel disease.Brain communications · 2025Article
- Abnormal structural covariance network in major depressive disorder: Evidence from the REST-meta-MDD project.NeuroImage. Clinical · 2025Article
- No sex difference in maturation of brain morphology during the perinatal period.Brain structure & function · 2024Article
- Exploring morphological similarity and randomness in Alzheimer's disease using adjacent grey matter voxel-based structural analysis.Alzheimer's research & therapy · 2024Article
- Changes in microstructural similarity of hippocampal subfield circuits in pathological cognitive aging.Brain structure & function · 2024Article
- Alterations in Gray Matter Structural Networks in Amnestic Mild Cognitive Impairment: A Source-Based Morphometry Study.Journal of Alzheimer's disease : JAD · 2024Article
- Progressive thalamic nuclear atrophy in blepharospasm and blepharospasm-oromandibular dystonia.Brain communications · 2024Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
The structural covariance network (SCN) has provided a perspective on the large-scale brain organization impairment in the Alzheimer's Disease (AD) continuum. However, the successive structural impairment across brain regions, which may underlie the disrupted SCN in the AD continuum, is not well understood. In the current study, we enrolled 446 subjects with AD, mild cognitive impairment (MCI) or normal aging (NA) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. The SCN as well as a casual SCN (CaSCN) based on Granger causality analysis were applied to the T1-weighted structural magnetic resonance images of the subjects. Compared with that of the NAs, the SCN was disrupted in the MCI and AD subjects, with the hippocampus and left middle temporal lobe being the most impaired nodes, which is in line with previous studies. In contrast, according to the 194 subjects with records on CSF amyloid and Tau, the CaSCN revealed that during AD progression, the CaSCN was enhanced. Specifically, the hippocampus, thalamus, and precuneus/posterior cingulate cortex (PCC) were identified as the core regions in which atrophy originated and could predict atrophy in other brain regions. Taken together, these findings provide a comprehensive view of brain atrophy in the AD continuum and the relationships among the brain atrophy in different regions, which may provide novel insight into the progression of AD.
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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.