ArticleNeural plasticity2020
Functional Evolving Patterns of Cortical Networks in Progression of Alzheimer's Disease: A Graph-Based Resting-State fMRI Study.
Article in Neural plasticity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Task-based fMRI brain activation in mild cognitive impairment and Alzheimer's disease: an ALE meta-analysis.GeroScience · 2026Pooled it
- The Impact of Denoising Approaches on the Relationship Between Alzheimer's Disease Diagnostic Status and Network Topology Measures.Human brain mapping · 2026Article
- Functional redundancy of the posterior hippocampi is selectively disrupted in non-demented older adults withNeuroimage. Reports · 2025Article
- Co-Community Network Analysis Reveals Alterations in Brain Networks in Alzheimer's Disease.Brain sciences · 2025Article
- Towards a multimodal neuroimaging-based risk score for mild cognitive impairment by combining clinical studies with a large (N>37000) population-based study.medRxiv : the preprint server for health sciences · 2024Article
- fMRI-Based Alzheimer's Disease Detection Using the SAS Method with Multi-Layer Perceptron Network.Brain sciences · 2023Article
- Disrupted topological organization of functional brain networks in Alzheimer's disease patients with depressive symptoms.BMC psychiatry · 2022Article
- Alzheimer's Disease Projection From Normal to Mild Dementia Reflected in Functional Network Connectivity: A Longitudinal Study.Frontiers in neural circuits · 2020Article
Corrections and comments
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Authors and funding
7 authors.
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Abstract
AD is a common chronic progressive neurodegenerative disorder. However, the understanding of the dynamic longitudinal change of the brain in the progression of AD is still rough and sometimes conflicting. This paper analyzed the brain networks of healthy people and patients at different stages (EMCI, LMCI, and AD). The results showed that in global network properties, most differences only existed between healthy people and patients, and few were discovered between patients at different stages. However, nearly all subnetwork properties showed significant differences between patients at different stages. Moreover, the most interesting result was that we found two different functional evolving patterns of cortical networks in progression of AD, named 'temperature inversion' and "monotonous decline," but not the same monotonous decline trend as the external functional assessment observed in the course of disease progression. We suppose that those subnetworks, showing the same functional evolving pattern in AD progression, may have something the same in work mechanism in nature. And the subnetworks with 'temperature inversion' evolving pattern may play a special role in the development of 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.