Cargando…

Multiplex Networks for Early Diagnosis of Alzheimer's Disease

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...

Descripción completa

Detalles Bibliográficos
Autores principales:	Amoroso, Nicola, La Rocca, Marianna, Bruno, Stefania, Maggipinto, Tommaso, Monaco, Alfonso, Bellotti, Roberto, Tangaro, Sabina
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2018
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247675/ https://www.ncbi.nlm.nih.gov/pubmed/30487745 http://dx.doi.org/10.3389/fnagi.2018.00365

Ejemplares similares

Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age
por: Amoroso, Nicola, et al.
Publicado: (2019)

An eXplainability Artificial Intelligence approach to brain connectivity in Alzheimer's disease
por: Amoroso, Nicola, et al.
Publicado: (2023)

Alzheimer’s disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm
por: Amoroso, Nicola, et al.
Publicado: (2018)

Communicability Characterization of Structural DWI Subcortical Networks in Alzheimer’s Disease
por: Lella, Eufemia, et al.
Publicado: (2019)

Satellite data and machine learning reveal a significant correlation between NO(2) and COVID-19 mortality
por: Amoroso, Nicola, et al.
Publicado: (2022)

Salient networks: a novel application to study Alzheimer disease
por: Amoroso, Nicola, et al.
Publicado: (2018)

Multivariate regression analysis of structural MRI connectivity matrices in Alzheimer’s disease
por: Rasero, Javier, et al.
Publicado: (2017)

Explainable Deep Learning for Personalized Age Prediction With Brain Morphology
por: Lombardi, Angela, et al.
Publicado: (2021)

Association between Structural Connectivity and Generalized Cognitive Spectrum in Alzheimer’s Disease
por: Lombardi, Angela, et al.
Publicado: (2020)

An equity-oriented rethink of global rankings with complex networks mapping development
por: Bellantuono, Loredana, et al.
Publicado: (2020)

Brain Age Prediction With Morphological Features Using Deep Neural Networks: Results From Predictive Analytic Competition 2019
por: Lombardi, Angela, et al.
Publicado: (2021)

Shannon entropy approach reveals relevant genes in Alzheimer’s disease
por: Monaco, Alfonso, et al.
Publicado: (2019)

Potential energy of complex networks: a quantum mechanical perspective
por: Amoroso, Nicola, et al.
Publicado: (2020)

Sustainable development goals: conceptualization, communication and achievement synergies in a complex network framework
por: Bellantuono, Loredana, et al.
Publicado: (2022)

Extensive Evaluation of Morphological Statistical Harmonization for Brain Age Prediction
por: Lombardi, Angela, et al.
Publicado: (2020)

Topological Measurements of DWI Tractography for Alzheimer's Disease Detection
por: Amoroso, Nicola, et al.
Publicado: (2017)

Worldwide impact of lifestyle predictors of dementia prevalence: An eXplainable Artificial Intelligence analysis
por: Bellantuono, Loredana, et al.
Publicado: (2022)

A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer’s Disease
por: Lombardi, Angela, et al.
Publicado: (2022)

Multiplex Networks to Characterize Seizure Development in Traumatic Brain Injury Patients
por: La Rocca, Marianna, et al.
Publicado: (2020)

Territorial bias in university rankings: a complex network approach
por: Bellantuono, Loredana, et al.
Publicado: (2022)

A complex network approach reveals a pivotal substructure of genes linked to schizophrenia
por: Monaco, Alfonso, et al.
Publicado: (2018)

The impact of harmonization on radiomic features in Parkinson’s disease and healthy controls: A multicenter study
por: Tafuri, Benedetta, et al.
Publicado: (2022)

A primer on machine learning techniques for genomic applications
por: Monaco, Alfonso, et al.
Publicado: (2021)

Artificial Intelligence and Complex Network Approaches Reveal Potential Gene Biomarkers for Hepatocellular Carcinoma
por: Lacalamita, Antonio, et al.
Publicado: (2023)

A Dementia mortality rates dataset in Italy (2012–2019)
por: Fania, Alessandro, et al.
Publicado: (2023)

Deep learning approach for denoising low-SNR correlation plenoptic images
por: Scattarella, Francesco, et al.
Publicado: (2023)

Characterization of real-world networks through quantum potentials
por: Amoroso, Nicola, et al.
Publicado: (2021)

Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern Europe
por: Cilli, Roberto, et al.
Publicado: (2022)

An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis
por: Bellantuono, Loredana, et al.
Publicado: (2023)

Automated hippocampal segmentation in 3D MRI using random undersampling with boosting algorithm
por: Maglietta, Rosalia, et al.
Publicado: (2015)

A Machine Learning Approach to Parkinson’s Disease Blood Transcriptomics
por: Pantaleo, Ester, et al.
Publicado: (2022)

Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease
por: Cai, Lihui, et al.
Publicado: (2020)

Country-level factors dynamics and ABO/Rh blood groups contribution to COVID-19 mortality
por: Monaco, Alfonso, et al.
Publicado: (2021)

Detecting the socio-economic drivers of confidence in government with eXplainable Artificial Intelligence
por: Bellantuono, Loredana, et al.
Publicado: (2023)

Computer Aided Detection System for Prediction of the Malaise during Hemodialysis
por: Tangaro, Sabina, et al.
Publicado: (2016)

A ten-year (2009–2018) database of cancer mortality rates in Italy
por: Cazzolla Gatti, Roberto, et al.
Publicado: (2022)

Association between miRNAs expression and cognitive performances of Pediatric Multiple Sclerosis patients: A pilot study
por: Liguori, Maria, et al.
Publicado: (2019)

Feature Selection Based on Machine Learning in MRIs for Hippocampal Segmentation
por: Tangaro, Sabina, et al.
Publicado: (2015)

Routine lumbar puncture for the early diagnosis of Alzheimer's disease. Is it safe?
por: Menéndez-González, Manuel
Publicado: (2014)

A Bayesian Model for the Prediction and Early Diagnosis of Alzheimer's Disease
por: Alexiou, Athanasios, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_pc2i93g0srgg7r8i8762ih6oh8