ArticleFrontiers in aging neuroscience2018
Multiplex Networks for Early Diagnosis of Alzheimer's Disease.
Article in Frontiers in aging neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Topological Biomarkers of Alzheimer's Disease from Functional Brain Network Analysis.Current Alzheimer research · 2025Article
- Network assortativity for a multidimensional evaluation of socio-economic territorial biases in university rankings.PloS one · 2025Article
- Detecting the socio-economic drivers of confidence in government with eXplainable Artificial Intelligence.Scientific reports · 2023Article
- An eXplainability Artificial Intelligence approach to brain connectivity in Alzheimer's disease.Frontiers in aging neuroscience · 2023Article
- Territorial bias in university rankings: a complex network approach.Scientific reports · 2022Article
- Sustainable development goals: conceptualization, communication and achievement synergies in a complex network framework.Applied network science · 2022Article
- Worldwide impact of lifestyle predictors of dementia prevalence: An eXplainable Artificial Intelligence analysis.Frontiers in big data · 2022Article
- Article
- Association between Structural Connectivity and Generalized Cognitive Spectrum in Alzheimer's Disease.Brain sciences · 2020Article
- Potential energy of complex networks: a quantum mechanical perspective.Scientific reports · 2020Article
- An equity-oriented rethink of global rankings with complex networks mapping development.Scientific reports · 2020Article
- Multi-View Based Multi-Model Learning for MCI Diagnosis.Brain sciences · 2020Article
- Prediction of cognitive performance in old age from spatial probability maps of white matter lesions.Aging · 2020Article
- Altered Functional Hubs and Connectivity in Type 2 Diabetes Mellitus Without Mild Cognitive Impairment.Frontiers in neurology · 2020Article
- Multiplex Networks to Characterize Seizure Development in Traumatic Brain Injury Patients.Frontiers in neuroscience · 2020Article
- Unsuspected Involvement of Spinal Cord in Alzheimer Disease.Frontiers in cellular neuroscience · 2020Article
- The Rho kinase inhibitor fasudil attenuates AβMetabolic brain disease · 2019Article
- Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age.Frontiers in aging neuroscience · 2019Article
- Article
Corrections and comments
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7 authors.
Funding
Abstract
Analysis and quantification of brain structural changes, using Magnetic Resonance Imaging (MRI), are increasingly used to define novel biomarkers of brain pathologies, such as Alzheimer's disease (AD). Several studies have suggested that brain topological organization can reveal early signs of AD. Here, we propose a novel brain model which captures both intra- and inter-subject information within a multiplex network approach. This model localizes brain atrophy effects and summarizes them with a diagnostic score. On an independent test set, our multiplex-based score segregates (i) normal controls (NC) from AD patients with a 0.86±0.01 accuracy and (ii) NC from mild cognitive impairment (MCI) subjects that will convert to AD (cMCI) with an accuracy of 0.84±0.01. The model shows that illness effects are maximally detected by parceling the brain in equal volumes of 3, 000 mm
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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.