Blind source separation of multiple signal sources of fMRI data sets using independent component analysis.
about
Independent component analysis of functional MRI: what is signal and what is noise?Partner-matching for the automated identification of reproducible ICA components from fMRI datasets: algorithm and validation.Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms.Independent component analysis of fMRI data in the complex domain.Optimizing preprocessing and analysis pipelines for single-subject fMRI: 2. Interactions with ICA, PCA, task contrast and inter-subject heterogeneity.Reduction of Motion Artifacts and Noise Using Independent Component Analysis in Task-Based Functional MRI for Preoperative Planning in Patients with Brain Tumor.Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry.A unified framework for group independent component analysis for multi-subject fMRI data.Evaluation and comparison of GLM- and CVA-based fMRI processing pipelines with Java-based fMRI processing pipeline evaluation system.Semiblind spatial ICA of fMRI using spatial constraints.Search for patterns of functional specificity in the brain: a nonparametric hierarchical Bayesian model for group fMRI dataQuality Map Thresholding for De-noising of Complex-Valued fMRI Data and Its Application to ICA of fMRI.Psychotherapy and neuroscience: towards closer integration.Task-dependent individual differences in prefrontal connectivity.A novel group ICA approach based on multi-scale individual component clustering. Application to a large sample of fMRI data.Relations between BOLD fMRI-derived resting brain activity and cerebral blood flow.Evaluating Functional Autocorrelation within Spatially Distributed Neural Processing Networks.Group-ICA Model Order Highlights Patterns of Functional Brain Connectivity.Longitudinal fMRI analysis: A review of methodsA network analysis of ¹⁵O-H₂O PET reveals deep brain stimulation effects on brain network of Parkinson's disease.Temporally-independent functional modes of spontaneous brain activity.Test-retest stability analysis of resting brain activity revealed by blood oxygen level-dependent functional MRI.Assessment of functional development in normal infant brain using arterial spin labeled perfusion MRI.Cerebellar Functional Parcellation Using Sparse Dictionary Learning ClusteringA method for accurate group difference detection by constraining the mixing coefficients in an ICA framework.ICA model order selection of task co-activation networks.Independent component analysis of instantaneous power-based fMRI.INVESTIGATING DIFFERENCES IN BRAIN FUNCTIONAL NETWORKS USING HIERARCHICAL COVARIATE-ADJUSTED INDEPENDENT COMPONENT ANALYSIS.Semantic network disconnection in formal thought disorder.Simultaneous BOLD detection and incomplete fMRI data reconstruction.Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling.Scanning fast and slow: current limitations of 3 Tesla functional MRI and future potential.Beyond Noise: Using Temporal ICA to Extract Meaningful Information from High-Frequency fMRI Signal Fluctuations during Rest.A Novel Feature-Map Based ICA Model for Identifying the Individual, Intra/Inter-Group Brain Networks across Multiple fMRI Datasets.A hierarchical model for probabilistic independent component analysis of multi-subject fMRI studies.A feature-selective independent component analysis method for functional MRI.Joint independent component analysis for simultaneous EEG-fMRI: principle and simulation.An independent component analysis approach for minimizing effects of recirculation in dynamic susceptibility contrast magnetic resonance imaging.Alcohol intoxication effects on simulated driving: exploring alcohol-dose effects on brain activation using functional MRI.Local Immediate versus Long-Range Delayed Changes in Functional Connectivity Following rTMS on the Visual Attention Network.
P2860
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P2860
Blind source separation of multiple signal sources of fMRI data sets using independent component analysis.
description
1999 nî lūn-bûn
@nan
1999 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
1999 թվականի մարտին հրատարակված գիտական հոդված
@hy
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
name
Blind source separation of mul ...... ndependent component analysis.
@ast
Blind source separation of mul ...... ndependent component analysis.
@en
type
label
Blind source separation of mul ...... ndependent component analysis.
@ast
Blind source separation of mul ...... ndependent component analysis.
@en
prefLabel
Blind source separation of mul ...... ndependent component analysis.
@ast
Blind source separation of mul ...... ndependent component analysis.
@en
P1476
Blind source separation of mul ...... ndependent component analysis.
@en
P2093
P304
P356
10.1097/00004728-199903000-00016
P577
1999-03-01T00:00:00Z