NDLI: Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models

Please wait, while we are loading the content...

Year: 2015, Volume: 9123

Year: 2015, Volume: 24

Year: 2013, Volume: 23

Year: 2013, Volume: 23, Issue: Unspecified

A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statistics

Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models

Joint Modeling of Imaging and Genetics

Locality Preserving Non-negative Basis Learning with Graph Embedding

Automated Segmentation of the Cerebellar Lobules using Boundary Specific Classification and Evolution

Multi-Atlas Segmentation with Robust Label Transfer and Label Fusion

Sparse Projections of Medical Images onto Manifolds

Unsupervised Learning of Functional Network Dynamics in Resting State fMRI

Globally Optimal Cortical Surface Matching With Exact Landmark Correspondence

Diseased Region Detection of Longitudinal Knee MRI Data

Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization

Conformal Mapping via Metric Optimization with Application for Cortical Label Fusion

Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions

Predicting Cognitive Data from Medical Images Using Sparse Linear Regression

Rotation Invariant Features for HARDI

Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering

Reliable Selection of the Number of Fascicles in Diffusion Images by Estimation of the Generalization Error

Bayesian Segmentation of Atrium Wall Using Globally-Optimal Graph Cuts on 3D Meshes

Group-wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization

Deformable Modeling Using a 3D Boundary Representation with Quadratic Constraints on the Branching Structure of the Blum Skeleton

Dictionary Learning on the Manifold of Square Root Densities andApplication to Reconstruction of Diffusion Propagator Fields*

Feature-based Alignment of Volumetric Multi-modal Images

Geodesic shape regression in the framework of currents

A Multiple Hypothesis based Method for Particle Tracking and Its Extension for Cell Segmentation ★

Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration

Year: 2011, Volume: 6801

Year: 2011, Volume: 22

Year: 2009, Volume: 21

Year: 2007, Volume: 20

Year: 2005, Volume: 19

Year: 2001, Volume: 2082

Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models

Content Provider	PubMed Central
Author	Zhu, Dajiang Li, Xiang Jiang, Xi Chen, Hanbo Shen, Dinggang Liu, Tianming
Copyright Year	2013
Abstract	A major objective of brain science research is to model and quantify functional interaction patterns among neural networks, in the sense that meaningful interaction patterns reflect the working mechanisms of neural systems and represent their relationships with the external world. Most current research approaches in the neuroimaging field, however, focus on pair-wise functional/effective connectivity and are thus unable to handle high-order, network-scale functional interactions. In this paper, we propose a novel structurally-weighted LASSO (SW-LASSO) regression model to represent the functional interaction among multiple regions of interests (ROIs) based on resting state fMRI (rsfMRI) data. In particular, the structural connectivity constraints derived from diffusion tenor imaging (DTI) data are used to guide the selection of the weights, thus adaptively adjusting the penalty levels of different coefficients which correspond to different ROIs. The robustness and accuracy of our models are evaluated and demonstrated via a series of carefully designed experiments. In an application example, the generated regression graphs show different assortative mixing patterns between Mild Cognitive Impairment (MCI) patients and normal controls (NC). Our results indicate that the proposed model has promising potential to enable the construction of high-order functional networks and their applications in clinical datasets.
Starting Page	13
File Format	PDF
ISSN	10112499
Journal	Information processing in medical imaging : proceedings of the ... conference
Volume Number	23
Language	English
Publisher Date	2013-01-01
Access Restriction	Open
Subject Keyword	Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Medicine

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

INFERRING FUNCTIONAL NETWORK-BASED SIGNATURES VIA STRUCTURALLY-WEIGHTED LASSO MODEL

FunTree: a resource for exploring the functional evolution of structurally defined enzyme superfamilies

Sparse k-means for mixed data via group-sparse clustering

Oracle inequalities for weighted group lasso in high-dimensional misspecified Cox models

EXPLORING FUNCTIONAL CONNECTIVITY IN FMRI VIA CLUSTERING

High-order functional interactions in ageing explained via alterations in the connectome in a whole-brain model

On Sparse Vector Recovery Performance in Structurally Orthogonal Matrices via LASSO

Clinical Risk Prediction by Exploring High-Order Feature Correlations

The Virus-Host Interface: Exploring Dynamic Protein Interactions via Targeted Proteomics

Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models

Similar Documents

INFERRING FUNCTIONAL NETWORK-BASED SIGNATURES VIA STRUCTURALLY-WEIGHTED LASSO MODEL

FunTree: a resource for exploring the functional evolution of structurally defined enzyme superfamilies

Sparse k-means for mixed data via group-sparse clustering

Oracle inequalities for weighted group lasso in high-dimensional misspecified Cox models

EXPLORING FUNCTIONAL CONNECTIVITY IN FMRI VIA CLUSTERING

High-order functional interactions in ageing explained via alterations in the connectome in a whole-brain model

On Sparse Vector Recovery Performance in Structurally Orthogonal Matrices via LASSO

Clinical Risk Prediction by Exploring High-Order Feature Correlations

The Virus-Host Interface: Exploring Dynamic Protein Interactions via Targeted Proteomics

Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models