Principal components of functional connectivity: a new approach to study dynamic brain connectivity during rest.
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The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discoveryThe Role of fMRI to Assess Plasticity of the Motor System in MSCan sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?Identifying Dynamic Functional Connectivity Changes in Dementia with Lewy Bodies Based on Product Hidden Markov ModelsCircuit to construct mapping: a mathematical tool for assisting the diagnosis and treatment in major depressive disorderStructure and Topology Dynamics of Hyper-Frequency Networks during Rest and Auditory Oddball PerformanceTemporal Dynamics of the Default Mode Network Characterize Meditation-Induced Alterations in Consciousness.Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlapping networks.The neural basis of time-varying resting-state functional connectivity.Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia.Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information.Common intrinsic connectivity states among posteromedial cortex subdivisions: Insights from analysis of temporal dynamics.Topological Filtering of Dynamic Functional Brain Networks Unfolds Informative Chronnectomics: A Novel Data-Driven Thresholding Scheme Based on Orthogonal Minimal Spanning Trees (OMSTs).Age-related differences in the dynamic architecture of intrinsic networks.Interplay between functional connectivity and scale-free dynamics in intrinsic fMRI networks.Topographical Information-Based High-Order Functional Connectivity and Its Application in Abnormality Detection forĀ Mild Cognitive Impairment.State-space model with deep learning for functional dynamics estimation in resting-state fMRI.Sparse multivariate autoregressive modeling for mild cognitive impairment classificationBehavioral relevance of the dynamics of the functional brain connectome.Identifying Sparse Connectivity Patterns in the brain using resting-state fMRIFunctional connectivity among spikes in low dimensional space during working memory task in ratCharacterizing Variability of Modular Brain Connectivity with Constrained Principal Component AnalysisMutually temporally independent connectivity patterns: a new framework to study the dynamics of brain connectivity at rest with application to explain group difference based on gender.Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks.Fluctuations of spontaneous EEG topographies predict disease state in relapsing-remitting multiple sclerosis.Prediction of long-term memory scores in MCI based on resting-state fMRI.Tai Chi Chuan and Baduanjin practice modulates functional connectivity of the cognitive control network in older adults.Recurring Functional Interactions Predict Network Architecture of Interictal and Ictal States in Neocortical Epilepsy.Memory performance-related dynamic brain connectivity indicates pathological burden and genetic risk for Alzheimer's disease.Dynamic Default Mode Network across Different Brain States.Modeling and interpreting mesoscale network dynamics.Dynamic brain connectivity is a better predictor of PTSD than static connectivity.Fused estimation of sparse connectivity patterns from rest fMRI. Application to comparison of children and adult brains.Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification.Infraslow Electroencephalographic and Dynamic Resting State Network Activity.Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling.Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding MethodsMultiscale modeling of brain dynamics: from single neurons and networks to mathematical tools.Identifying dynamic functional connectivity biomarkers using GIG-ICA: Application to schizophrenia, schizoaffective disorder, and psychotic bipolar disorder.Real-time estimation of dynamic functional connectivity networks.
P2860
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P2860
Principal components of functional connectivity: a new approach to study dynamic brain connectivity during rest.
description
2013 nĆ® lÅ«n-bĆ»n
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2013幓ć®č«ę
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name
Principal components of functi ...... rain connectivity during rest.
@en
Principal components of functi ...... rain connectivity during rest.
@nl
type
label
Principal components of functi ...... rain connectivity during rest.
@en
Principal components of functi ...... rain connectivity during rest.
@nl
prefLabel
Principal components of functi ...... rain connectivity during rest.
@en
Principal components of functi ...... rain connectivity during rest.
@nl
P2093
P50
P1433
P1476
Principal components of functi ...... rain connectivity during rest.
@en
P2093
Jean-Marie Annoni
Myriam Schluep
Nora Leonardi
Patrik Vuilleumier
Samanta Simioni
P304
P356
10.1016/J.NEUROIMAGE.2013.07.019
P407
P577
2013-07-18T00:00:00Z