Spatial Component Analysis of MRI data for Alzheimer's Disease Diagnosis: a Bayesian network approach

Spatial Component Analysis of MRI data for Alzheimer's Disease Diagnosis: a Bayesian network approach

This work presents a spatial-component (SC) based approach to aid the diagnosis of Alzheimer's disease (AD) using magnetic resonance images. In this approach, the whole brain image is subdivided in regions or spatial components, and a Bayesian network is used to model the dependencies between a...

Full description

Bibliographic Details
Main Authors:	Ignacio eA. Illán, Juan Manuel Gorriz, Javier eRamírez, Anke eMeyer-Baese
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2014-11-01
Series:	Frontiers in Computational Neuroscience
Subjects:	Magnetic Resonance Imaging bayesian networks AD diagnosis Spatial Component Analysis CAD systems
Online Access:	http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00156/full

Similar Items

Network based biomarkers in Alzheimer's disease: review and future directions
by: Jaime eGomez-Ramirez, et al.
Published: (2014-02-01)

Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis
by: Andres eOrtiz, et al.
Published: (2015-11-01)

Distinguishing Parkinson’s disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks
by: Fermín eSegovia, et al.
Published: (2015-11-01)

A Component-based Software Development and Execution Framework for CAx Applications
by: N. Matsuki, et al.
Published: (2004-01-01)

Advanced RF and Microwave Design Optimization: A Journey and a Vision of Future Trends
by: Jose E. Rayas-Sanchez, et al.
Published: (2021-01-01)

The Effect of Macroeconomic Variables on Value-Added Agriculture: Approach of Vector Autoregresive Bayesian Model (BVAR)
by: E. Pishbahar, et al.
Published: (2015-05-01)

A Bayesian Approach to Fault Identification in the Presence of Multi-component Degradation
by: Yufei Lin, et al.
Published: (2017-01-01)

Bayesian Estimation of Component Reliability in Coherent Systems
by: Agatha S. Rodrigues, et al.
Published: (2018-01-01)

On Bayesian problem-solving: Helping Bayesians solve simple Bayesian word problems
by: Miroslav eSirota, et al.
Published: (2015-08-01)

Neuroinflammation and brain functional disconnection in Alzheimer's disease
by: Francesca eBaglio, et al.
Published: (2013-11-01)

Variational Bayesian Causal Connectivity Analysis for fMRI
by: Martin eLuessi, et al.
Published: (2014-05-01)

High dimensional ICA analysis detects within-network functional connectivity damage of default mode and sensory motor networks in Alzheimer's disease
by: Ottavia eDipasquale, et al.
Published: (2015-02-01)

Optimized One vs One Approach in Multiclass Classification for Early Alzheimer’s Disease and Mild Cognitive Impairment Diagnosis
by: Carmen Jimenez-Mesa, et al.
Published: (2020-01-01)

Mixture Semisupervised Bayesian Principal Component Regression for Soft Sensor Modeling
by: Pengbo Zhu, et al.
Published: (2018-01-01)

Regions of interest computed by SVM wrapped method for Alzheimer’s disease examination from segmented MRI
by: Antonio R Hidalgo-Muñoz, et al.
Published: (2014-02-01)

Alzheimer´s disease: a clinical-practice-oriented review
by: Luísa eAlves, et al.
Published: (2012-04-01)

Copula-Based Bayesian Reliability Analysis of a Product of a Probability and a Frequency Model for Parallel Systems When Components Are Dependent
by: Shi-Woei Lin, et al.
Published: (2021-02-01)

A Novel Early Diagnosis System for Mild Cognitive Impairment Based on Local Region Analysis: A Pilot Study
by: Fatma E. A. El-Gamal, et al.
Published: (2018-01-01)

A full-capture Hierarchical Bayesian model of Pollock's Closed Robust Design and application to dolphins
by: Robert William Rankin, et al.
Published: (2016-03-01)

An interpretable machine learning model for diagnosis of Alzheimer's disease
by: Diptesh Das, et al.
Published: (2019-03-01)

Bayesian Accelerated Life Testing of Series Systems
by: Roy, Soumya
Published: (2018)

Probabilistic Alternatives to Bayesianism: The Case of Explanationism
by: Igor eDouven, et al.
Published: (2015-04-01)

Nowcasting China's GDP Using a Bayesian Approach
by: Hong, Y., et al.
Published: (2018)

Maize Carotenoid Gene Locus Mining Based on Conditional Gaussian Bayesian Network
by: Jianxiao Liu, et al.
Published: (2020-01-01)

Genetic parameters for marbling and body score in Anglonubian goats using Bayesian inference via threshold and linear models
by: Luiz Antonio Silva Figueiredo Filho, et al.
Published: (2018-09-01)

A Modified Bayesian Network Model to Predict Reorder Level of Printed Circuit Board
by: Shengping Lv, et al.
Published: (2018-06-01)

Attention in a Bayesian Framework
by: Louise eWhiteley, et al.
Published: (2012-06-01)

A Personalized Autism Diagnosis CAD System Using a Fusion of Structural MRI and Resting-State Functional MRI Data
by: Omar Dekhil, et al.
Published: (2019-07-01)

Objective Bayesian fMRI analysis - a pilot study in different clinical environments
by: Joerg eMagerkurth, et al.
Published: (2015-05-01)

Abstract P-39: Novel Perspectives for CLEM Techniques in Multiparametric Morphology Protocols
by: Oleg V. Gradov
Published: (2019-06-01)

Temporospatial components of brain ERPs as biomarkers for Alzheimer's disease
by: Robert M. Chapman, et al.
Published: (2018-01-01)

Develop Academic Question Recommender Based on Bayesian Network for Personalizing Student’s Practice
by: Qingsheng Zhang, et al.
Published: (2020-09-01)

A Bayesian Generative Model for Learning Semantic Hierarchies
by: Roni eMittelman, et al.
Published: (2014-05-01)

Normativity, Interpretation and Bayesian Models
by: Mike eOaksford
Published: (2014-05-01)

Multisensory Integration Using Dynamical Bayesian Networks
by: Taher eAbbas Shangari, et al.
Published: (2015-05-01)

Intrusion detection in Mobile Ad-hoc Networks: Bayesian game formulation
by: Basant Subba, et al.
Published: (2016-06-01)

BayesFactorFMRI: Implementing Bayesian Second-Level fMRI Analysis with Multiple Comparison Correction and Bayesian Meta-Analysis of fMRI Images with Multiprocessing
by: Hyemin Han
Published: (2021-02-01)

Forecasting the main dimensions of single-stage cylindrical reducers at early design stages
by: Petrakova E.A., et al.
Published: (2019-09-01)

Perceptual Estimation Obeys Occam's Razor
by: Samuel Joseph Gershman, et al.
Published: (2013-09-01)

[en] BAYESIAN DYNAMIC MODELLING THE CICLICAL COMPONENT IN STRUCTURAL MODEL FORMULATION
by: GUTEMBERG HESPANHA BRASIL
Published: (2006)