Decoding brain states using backward edge elimination and graph kernels in fMRI connectivity networks.

No abstract is available for this paper.

• Publication year

  2013

• Venue

  Journal of Neuroscience Methods

• Publication date

  2013-01-30

• Fields of study

  Medicine, Computer Science, Mathematics

• Identifiers
  DOI 10.1016/j.jneumeth.2012.10.012PMID 23142223
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Two new graphs kernels in chemoinformatics

  2012cited by this paper
• Decoding subject-driven cognitive states with whole-brain connectivity patterns.

  2012cited by this paper
• Decoding brain states from fMRI connectivity graphs

  2011cited by this paper
• Real-time support vector classification and feedback of multiple emotional brain states

  2011cited by this paper
• A multivariate analysis of age-related differences in default mode and task-positive networks across multiple cognitive domains.

  2010cited by this paper
• Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data

  2010cited by this paper
• Dissociating mental states related to doing nothing by means of fMRI pattern classification

  2010cited by this paper
• Inter-area correlations in the ventral visual pathway reflect feature integration.

  2010cited by this paper
• Low-Dimensional Embedding of Functional Connectivity Graphs for Brain State Decoding

  2010cited by this paper
• Efficient graphlet kernels for large graph comparison

  2009cited by this paper
• Decoding of emotional information in voice-sensitive cortices.

  2009cited by this paper
• The Common Neural Basis of Autobiographical Memory, Prospection, Navigation, Theory of Mind, and the Default Mode: A Quantitative Meta-analysis

  2009cited by this paper
• Fast subtree kernels on graphs

  2009cited by this paper
• Competition between functional brain networks mediates behavioral variability

  2008cited by this paper
• Graph Kernels

  2008cited by this paper
• Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain

  2008cited by this paper
• The Toronto traumatic brain injury study

  2008cited by this paper
• Real‐time fMRI using brain‐state classification

  2007cited by this paper
• A review of feature selection techniques in bioinformatics

  2007cited by this paper
• Self-projection and the brain.

  2007cited by this paper
• The Interplay of Stimulus Modality and Response Latency in Neural Network Organization for Simple Working Memory Tasks

  2007cited by this paper
• A method for using blocked and event-related fMRI data to study "resting state" functional connectivity

  2007cited by this paper
• Neuroanatomical differences between mouse strains as shown by high-resolution 3D MRI

  2006cited by this paper
• A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs

  2006cited by this paper
• A three-dimensional MRI atlas of the mouse brain with estimates of the average and variability.

  2005cited by this paper
• Comparing functional connectivity via thresholding correlations and singular value decomposition

  2005cited by this paper
• 2005 Special Issue: Bayesian approach to feature selection and parameter tuning for support vector machine classifiers

  2005cited by this paper
• Shortest-path kernels on graphs

  2005cited by this paper
• Neurophysiological architecture of functional magnetic resonance images of human brain.

  2005cited by this paper
• A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.

  2005cited by this paper
• Cyclic pattern kernels for predictive graph mining

  2004cited by this paper
• Expressivity versus efficiency of graph kernels

  2003cited by this paper
• On Graph Kernels: Hardness Results and Efficient Alternatives

  2003cited by this paper
• Marginalized Kernels Between Labeled Graphs

  2003cited by this paper
• Variable Selection Using SVM-based Criteria

  2003cited by this paper
• Theoretical and Empirical Analysis of ReliefF and RReliefF

  2003cited by this paper
• Gene Selection for Cancer Classification using Support Vector Machines

  2002cited by this paper
• Handbook of Molecular Descriptors

  2002cited by this paper
• Comparison of two exploratory data analysis methods for fMRI: fuzzy clustering vs. principal component analysis.

  2000cited by this paper
• Feature Selection for SVMs

  2000cited by this paper
• Independent component analysis: algorithms and applications

  2000cited by this paper
• The geometry of correlation fields with an application to functional connectivity of the brain

  1999cited by this paper
• Neuropsychiatry, neuropsychology, and clinical neuroscience

  1996cited by this paper
• Spectral Graph Theory

  1996cited by this paper
• Spatial pattern analysis of functional brain images using partial least squares.

  1996cited by this paper
• Support-Vector Networks

  1995cited by this paper
• A training algorithm for optimal margin classifiers

  1992cited by this paper
• Inexact graph matching for structural pattern recognition

  1983cited by this paper
• Pattern recognition using generalized portrait method

  1963cited by this paper
• Structural determination of paraffin boiling points.

  1947cited by this paper

• Dynamic Co-Modulation (DyCoM): A Unified Operator Framework for Dynamic Connectivity in Neuroimaging

  2026cites this paper
• Topological data analysis for revealing dynamic brain reconfiguration in MEG data

  2023cites this paper
• Emotional Brain State Classification on fMRI Data Using Deep Residual and Convolutional Networks

  2022cites this paper
• The Connectivity Fingerprints of Highly-Skilled and Disordered Reading Persist Across Cognitive Domains

  2021cites this paper
• Sparse structure deep network embedding for transforming brain functional network in early mild cognitive impairment classification

  2020cites this paper
• From Brain Decoding To Brain-Driven Computer Vision

  2020cites this paper
• Manifold learning for brain connectivity

  2020cites this paper
• A covariate-constraint method to map brain feature space into lower dimensional manifolds

  2020cites this paper
• Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models

  2019cites this paper
• Cross recurrence quantifiers as new connectivity measures for structure learning of Bayesian networks in brain decoding

  2019cites this paper
• Graph Kernels: A Survey

  2019cites this paper
• Siamese Reconstruction Network: Accurate Image Reconstruction from Human Brain Activity by Learning to Compare

  2019cites this paper
• Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding

  2019cites this paper
• A Graph Based Similarity Measure for Assessing Altered Connectivity in Traumatic Brain Injury

  2018cites this paper
• Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture

  2018cites this paper
• Accurate Reconstruction of Image Stimuli From Human Functional Magnetic Resonance Imaging Based on the Decoding Model With Capsule Network Architecture

  2018cites this paper
• Knowledge Fusion in Feedforward Artificial Neural Networks

  2018cites this paper
• Metric learning with spectral graph convolutions on brain connectivity networks

  2018cites this paper
• Harnessing Spatial Intensity Fluctuations for Optical Imaging and Sensing

  2017cites this paper
• Comparison of Functional Connectivity Estimated from Concatenated Task-State Data from Block-Design Paradigm with That of Continuous Task

  2017cites this paper
• Comparison of Brain Networks with Unknown Correspondences

  2016cites this paper
• Brain Decoding-Classification of Hand Written Digits from fMRI Data Employing Bayesian Networks

  2016cites this paper
• Reconstruction of digit images from human brain fMRI activity through connectivity informed Bayesian networks.

  2016cites this paper
• (Dis)Similarity-based Classification Of Cross Domain Multivariate Spatiotemporal Systems Using Dynamic Network Structures and Graph Edit Distances.

  2016cites this paper
• Large-scale analyses of functional interactions in the human brain

  2016cites this paper
• A multi-source perspective on inter-subject learning. Contributions to neuroimaging. (Un point de vue multi-source pour l'apprentissage inter-sujet. Contributions pour la neuroimagerie)

  2015cites this paper
• Cognitive Network Neuroscience

  2015cites this paper
• The Kernel Two-Sample Test for Brain Networks

  2015cites this paper
• ull correlation matrix analysis ( FCMA ) : An unbiased method for ask-related functional connectivity

  2015cites this paper
• Classification of inter-subject fMRI data based on graph kernels

  2014cites this paper
• Decoding analysis for fMRI based on Deep Brief Network

  2014cites this paper
• Graph-Based Inter-Subject Pattern Analysis of fMRI Data

  2014cites this paper
• Sparsity regularization and graph-based representation in medical imaging

  2013cites this paper
• Brain Decoding via Graph Kernels

  2013cites this paper
• Sparse Predictive Structure of Deconvolved Functional Brain Networks

  2013cites this paper
• Functional Interactions as Big Data in the Human Brain

  2013cites this paper
• Machine Learning with Brain Graphs: Predictive Modeling Approaches for Functional Imaging in Systems Neuroscience

  2013cites this paper
• Machine Learning in Medical Imaging

  2013influential citation
• Predictive modeling approaches for functional imaging in systems neuroscience ] Machine Learning with Brain Graphs

  2013cites this paper
• fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics

  2013cites this paper
• Dynamic Co-Modulation (DyCoM): A Unified Operator Framework for Time-Varying Interactions

  year unknowncites this paper