ArticleScientific reports2022
The trend of disruption in the functional brain network topology of Alzheimer's disease.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 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
- Alterations in topological and dynamical parameters correlate with disease biomarkers and neuropsychological scores in prodromic stages of dementia.Scientific reports · 2026Article
- Telecommunication-inspired network models of healthy and diseased brains.Scientific reports · 2026Article
- Blind Identification of Altered Functional Subnetworks in Alzheimer's Disease Using Resting-State fMRI.Biomedical engineering and computational biology · 2026Article
- Hippocampal subregions functional connectivity alterations in primary angle-closure glaucoma patients with cognitive dysfunction: a resting-state fMRI study.BMC neurology · 2025Article
- Lateralization Disruption and Dynamic Balance Alterations in Alzheimer's Disease: Impacts on Hemispheric Interaction and Cognitive Performance.Human brain mapping · 2025Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- K-operator for Modelling Neurodegeneration: Simulations, fMRI Application, Eigenvalue Analysis and Recurrence Plots.Journal of medical systems · 2025Article
- Frontal, temporal, cerebellar changes link to sepsis survivors' cognitive issues: A resting state functional magnetic resonance imaging study.World journal of psychiatry · 2025Article
- Sketching a Space of Brain States.Neuroinformatics · 2025Article
- White matter dysfunction in Alzheimer's disease is associated with disease-related transcriptomic signatures.Communications biology · 2025Article
- A Narrative Review Evaluating Diet and Exercise as Complementary Medicine for the Management of Alzheimer's Disease.Nutrients · 2025Review
- Topological Biomarkers of Alzheimer's Disease from Functional Brain Network Analysis.Current Alzheimer research · 2025Article
- Structural white matter properties and cognitive resilience to tau pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Modifying Alzheimer's disease pathophysiology with photobiomodulation: model, evidence, and future with EEG-guided intervention.Frontiers in neurology · 2024Review
- Non-invasive brain stimulation in cognitive sciences and Alzheimer's disease.Frontiers in human neuroscience · 2024Review
- Identification of neurotoxicology (NT)/developmental neurotoxicology (DNT) adverse outcome pathways and key event linkages with in vitro DNT screening assays.Neurotoxicology · 2023Review
- Structural Network Topology Reveals Higher Brain Resilience in Individuals with Preclinical Alzheimer's Disease.Brain connectivity · 2023Article
- Characteristic analysis of epileptic brain network based on attention mechanism.Scientific reports · 2023Article
- Statistical inference for dependence networks in topological data analysis.Frontiers in artificial intelligence · 2023Article
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4 authors.
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Abstract
Alzheimer's disease (AD) is a progressive disorder associated with cognitive dysfunction that alters the brain's functional connectivity. Assessing these alterations has become a topic of increasing interest. However, a few studies have examined different stages of AD from a complex network perspective that cover different topological scales. This study used resting state fMRI data to analyze the trend of functional connectivity alterations from a cognitively normal (CN) state through early and late mild cognitive impairment (EMCI and LMCI) and to Alzheimer's disease. The analyses had been done at the local (hubs and activated links and areas), meso (clustering, assortativity, and rich-club), and global (small-world, small-worldness, and efficiency) topological scales. The results showed that the trends of changes in the topological architecture of the functional brain network were not entirely proportional to the AD progression. There were network characteristics that have changed non-linearly regarding the disease progression, especially at the earliest stage of the disease, i.e., EMCI. Further, it has been indicated that the diseased groups engaged somatomotor, frontoparietal, and default mode modules compared to the CN group. The diseased groups also shifted the functional network towards more random architecture. In the end, the methods introduced in this paper enable us to gain an extensive understanding of the pathological changes of the AD process.
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