Gaussian Graphical Models Reveal Inter-Modal and Inter-Regional Conditional Dependencies of Brain Alterations in Alzheimer's Disease

Gaussian Graphical Models Reveal Inter-Modal and Inter-Regional Conditional Dependencies of Brain Alterations in Alzheimer's Disease

Alzheimer's disease (AD) is characterized by a sequence of pathological changes, which are commonly assessed in vivo using various brain imaging modalities such as magnetic resonance imaging (MRI) and positron emission tomography (PET). Currently, the most approaches to analyze statistical asso...

Full description

Bibliographic Details
Main Authors:	Martin Dyrba, Reza Mohammadi, Michel J. Grothe, Thomas Kirste, Stefan J. Teipel
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2020-04-01
Series:	Frontiers in Aging Neuroscience
Subjects:	Alzheimer's disease mild cognitive impairment conditional dependency networks Gaussian graphical models graph-theoretical analysis small-world network
Online Access:	https://www.frontiersin.org/article/10.3389/fnagi.2020.00099/full

Similar Items

Data-driven FDG-PET subtypes of Alzheimer’s disease-related neurodegeneration
by: Fedor Levin, et al.
Published: (2021-02-01)

The ‘un-shrunk’ partial correlation in Gaussian graphical models
by: Victor Bernal, et al.
Published: (2021-09-01)

THE PRIMACY EFFECT IN AMNESTIC MILD COGNITIVE IMPAIRMENT: ASSOCIATIONS WITH HIPPOCAMPAL FUNCTIONAL CONNECTIVITY
by: Katharina Brueggen, et al.
Published: (2016-10-01)

Path-level interpretation of Gaussian graphical models using the pair-path subscore
by: Nathan P. Gill, et al.
Published: (2022-01-01)

<i>Jewel</i>: A Novel Method for Joint Estimation of Gaussian Graphical Models
by: Claudia Angelini, et al.
Published: (2021-08-01)

Joint conditional Gaussian graphical models with multiple sources of genomic data
by: Hyonho eChun, et al.
Published: (2013-12-01)

Is the left uncinate fasciculus associated with verbal fluency decline in mild Alzheimer's disease?
by: Kljajevic Vanja, et al.
Published: (2016-01-01)

Identification of Dietary Pattern Networks Associated with Gastric Cancer Using Gaussian Graphical Models: A Case-Control Study
by: Madhawa Gunathilake, et al.
Published: (2020-04-01)

Learning Sparse Gaussian Graphical Model with l0-regularization
by: Mu, Beipeng, et al.
Published: (2014)

Saturated fats network identified using Gaussian graphical models is associated with metabolic syndrome in a sample of Iranian adults
by: Reihaneh Jahanmiri, et al.
Published: (2022-08-01)

Module-based regularization improves Gaussian graphical models when observing noisy data
by: Magnus Neuman, et al.
Published: (2024-03-01)

Constrained Covariance Matrices With a Biologically Realistic Structure: Comparison of Methods for Generating High-Dimensional Gaussian Graphical Models
by: Frank Emmert-Streib, et al.
Published: (2019-04-01)

Graphic Groups, Graph Homomorphisms, and Graphic Group Lattices in Asymmetric Topology Cryptography
by: Meimei Zhao, et al.
Published: (2023-04-01)

Cognitive Reserve Relates to Functional Network Efficiency in Alzheimer’s Disease
by: Marina Weiler, et al.
Published: (2018-08-01)

Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks
by: Jin Liu, et al.
Published: (2020-11-01)

Mean diffusivity in cortical gray matter in Alzheimer's disease: The importance of partial volume correction
by: Judith Henf, et al.
Published: (2018-01-01)

Multi-Modality Emotion Recognition Model with GAT-Based Multi-Head Inter-Modality Attention
by: Changzeng Fu, et al.
Published: (2020-08-01)

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

Graph theoretic analysis of structural connectivity across the spectrum of Alzheimer's disease: The importance of graph creation methods
by: David J. Phillips, et al.
Published: (2015-01-01)

An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning
by: Yonghua Zhuang, et al.
Published: (2022-01-01)

Prediction of Conversion From Amnestic Mild Cognitive Impairment to Alzheimer's Disease Based on the Brain Structural Connectome
by: Yu Sun, et al.
Published: (2019-01-01)

Inter-band Bispectral Analysis of EEG Background Activity to Characterize Alzheimer's Disease Continuum
by: Aarón Maturana-Candelas, et al.
Published: (2020-09-01)

MRI-based basal forebrain atrophy and volumetric signatures associated with limbic TDP-43 compared to Alzheimer's disease pathology
by: Stefan Teipel, et al.
Published: (2023-05-01)

Classification of Mild Cognitive Impairment Based on a Combined High-Order Network and Graph Convolutional Network
by: Xuegang Song, et al.
Published: (2020-01-01)

Network Analysis of Demographics, Dietary Intake, and Comorbidity Interactions
by: Tung Hoang, et al.
Published: (2021-10-01)

Diagnosis of Mild Cognitive Impairment With Ordinal Pattern Kernel
by: Kai Ma, et al.
Published: (2022-01-01)

Graph theoretical analysis indicates cognitive impairment in MS stems from neural disconnection
by: Jeroen Van Schependom, et al.
Published: (2014-01-01)

Improving IoT Predictions through the Identification of Graphical Features
by: Syeda Akter, et al.
Published: (2019-07-01)

Disruptions of the olfactory and default mode networks in Alzheimer's disease
by: Jiaming Lu, et al.
Published: (2019-07-01)

A Common Platform for Graphical Models in R: The gRbase Package
by: Claus Dethlefsen, et al.
Published: (2005-12-01)

Disrupted Network Topology Contributed to Spatial Navigation Impairment in Patients With Mild Cognitive Impairment
by: Weiping Li, et al.
Published: (2021-06-01)

Efficient Proximal Gradient Algorithms for Joint Graphical Lasso
by: Jie Chen, et al.
Published: (2021-12-01)

Clustering Single-Cell RNA-Seq Data with Regularized Gaussian Graphical Model
by: Zhenqiu Liu
Published: (2021-02-01)

An EEG study of human trust in autonomous vehicles based on graphic theoretical analysis
by: Tao Xu, et al.
Published: (2022-08-01)

Exact Partial Information Decompositions for Gaussian Systems Based on Dependency Constraints
by: Jim W. Kay, et al.
Published: (2018-03-01)

Mild behavioral impairment in early Alzheimer’s disease and its association with APOE and BDNF risk genetic polymorphisms
by: Veronika Matuskova, et al.
Published: (2024-01-01)

Self-reference Network-Related Interactions During the Process of Cognitive Impairment in the Early Stages of Alzheimer’s Disease
by: Ping-Hsuan Wei, et al.
Published: (2021-03-01)

Brain Connectivity Based Prediction of Alzheimer’s Disease in Patients With Mild Cognitive Impairment Based on Multi-Modal Images
by: Weihao Zheng, et al.
Published: (2019-11-01)

Inferring cancer common and specific gene networks via multi-layer joint graphical model
by: Yuanxiao Chen, et al.
Published: (2023-01-01)

Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment
by: Kun Zhao, et al.
Published: (2022-04-01)