Tracking brain dynamics via time-dependent network analysis.
about
Transition dynamics of EEG-based network microstates during mental arithmetic and resting wakefulness reflects task-related modulations and developmental changes.A novel biomarker of amnestic MCI based on dynamic cross-frequency coupling patterns during cognitive brain responses.Causal Interactions between Frontal(θ) - Parieto-Occipital(α2) Predict Performance on a Mental Arithmetic Task.Graph theoretical model of a sensorimotor connectome in zebrafishTinnitus: network pathophysiology-network pharmacology.Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction.Topological Filtering of Dynamic Functional Brain Networks Unfolds Informative Chronnectomics: A Novel Data-Driven Thresholding Scheme Based on Orthogonal Minimal Spanning Trees (OMSTs).Network dynamics predict improvement in working memory performance following donepezil administration in healthy young adults.Incidental and intentional learning of verbal episodic material differentially modifies functional brain networksEvaluating the effect of aging on interference resolution with time-varying complex networks analysis.A novel symbolization scheme for multichannel recordings with emphasis on phase information and its application to differentiate EEG activity from different mental tasks.A signal-processing-based approach to time-varying graph analysis for dynamic brain network identification.Functional connectivity changes detected with magnetoencephalography after mild traumatic brain injury.Synchronization dynamics and evidence for a repertoire of network states in resting EEG.Greater Repertoire and Temporal Variability of Cross-Frequency Coupling (CFC) Modes in Resting-State Neuromagnetic Recordings among Children with Reading DifficultiesTo cut or not to cut? Assessing the modular structure of brain networks.BRAPH: A graph theory software for the analysis of brain connectivity.Detection of functional brain network reconfiguration during task-driven cognitive states.Modular Patterns of Phase Desynchronization Networks During a Simple Visuomotor Task.Mining Time-Resolved Functional Brain Graphs to an EEG-Based Chronnectomic Brain Aged Index (CBAI).Source space analysis of event-related dynamic reorganization of brain networks.Cognitive workload assessment based on the tensorial treatment of EEG estimates of cross-frequency phase interactions.Improving the Reliability of Network Metrics in Structural Brain Networks by Integrating Different Network Weighting Strategies into a Single Graph.On the quantization of time-varying phase synchrony patterns into distinct functional connectivity microstates (FCμstates) in a multi-trial visual ERP paradigm.How to Build a Functional Connectomic Biomarker for Mild Cognitive Impairment From Source Reconstructed MEG Resting-State Activity: The Combination of ROI Representation and Connectivity Estimator Matters.Reliability of Static and Dynamic Network Metrics in the Resting-State: A MEG-Beamformed Connectivity Analysis
P2860
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P2860
Tracking brain dynamics via time-dependent network analysis.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh-hant
name
Tracking brain dynamics via time-dependent network analysis.
@en
Tracking brain dynamics via time-dependent network analysis.
@nl
type
label
Tracking brain dynamics via time-dependent network analysis.
@en
Tracking brain dynamics via time-dependent network analysis.
@nl
prefLabel
Tracking brain dynamics via time-dependent network analysis.
@en
Tracking brain dynamics via time-dependent network analysis.
@nl
P2093
P1476
Tracking brain dynamics via time-dependent network analysis.
@en
P2093
Michael Vourkas
Nikolaos A Laskaris
Sifis Micheloyannis
Spiros Fotopoulos
Stavros I Dimitriadis
Vasso Tsirka
P304
P356
10.1016/J.JNEUMETH.2010.08.027
P577
2010-09-09T00:00:00Z