Performance of blind source separation algorithms for fMRI analysis using a group ICA method.
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A review of feature reduction techniques in neuroimagingCoupling of Action-Perception Brain Networks during Musical Pulse Processing: Evidence from Region-of-Interest-Based Independent Component Analysis.The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods.Canonical Correlation Analysis for Feature-Based Fusion of Biomedical Imaging Modalities and Its Application to Detection of Associative Networks in SchizophreniaModulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks.An evaluation of independent component analyses with an application to resting-state fMRI.Multisubject independent component analysis of fMRI: a decade of intrinsic networks, default mode, and neurodiagnostic discoveryCapturing subject variability in fMRI data: A graph-theoretical analysis of GICA vs. IVA.Analysis of Residual Dependencies of Independent Components Extracted from fMRI DataMultimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness.Normalized cut group clustering of resting-state FMRI dataOngoing activity in temporally coherent networks predicts intra-subject fluctuation of response time to sporadic executive control demands.Higher-order contrast functions improve performance of independent component analysis of fMRI data.Spatial and temporal reproducibility-based ranking of the independent components of BOLD fMRI data.A CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophreniaMapping rabbit whisker barrels using discriminant analysis of high field fMRI dataComparison of multi-subject ICA methods for analysis of fMRI data.Semiblind spatial ICA of fMRI using spatial constraints.Characterization of groups using composite kernels and multi-source fMRI analysis data: application to schizophrenia.Hybrid ICA-Seed-Based Methods for fMRI Functional Connectivity Assessment: A Feasibility StudyA review of multivariate methods for multimodal fusion of brain imaging dataChanges in brain functional network connectivity after stroke.SimTB, a simulation toolbox for fMRI data under a model of spatiotemporal separabilityHigh classification accuracy for schizophrenia with rest and task FMRI data.Temporal lobe and "default" hemodynamic brain modes discriminate between schizophrenia and bipolar disorderIndependent component analysis for brain FMRI does indeed select for maximal independence.An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques.Aberrant default mode network in subjects with amnestic mild cognitive impairment using resting-state functional MRI.Nicotine effects on default mode network during resting state.Functional neural networks underlying response inhibition in adolescents and adults.ICA analysis of fMRI with real-time constraints: an evaluation of fast detection performance as function of algorithms, parameters and a priori conditionsResting-state functional connectivity of the default mode network associated with happiness.Increased frontal functional networks in adult survivors of childhood brain tumorsNeural network activation during a stop-signal task discriminates cocaine-dependent from non-drug-abusing menThe Whole-Brain "Global" Signal from Resting State fMRI as a Potential Biomarker of Quantitative State Changes in Glucose MetabolismBrain network dynamics during error commissionA method for accurate group difference detection by constraining the mixing coefficients in an ICA framework.Multimodal and Multi-tissue Measures of Connectivity Revealed by Joint Independent Component Analysis.Source-based morphometry: the use of independent component analysis to identify gray matter differences with application to schizophrenia.High-Frequency Intermuscular Coherence between Arm Muscles during Robot-Mediated Motor Adaptation.
P2860
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P2860
Performance of blind source separation algorithms for fMRI analysis using a group ICA method.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
Performance of blind source se ...... ysis using a group ICA method.
@ast
Performance of blind source se ...... ysis using a group ICA method.
@en
type
label
Performance of blind source se ...... ysis using a group ICA method.
@ast
Performance of blind source se ...... ysis using a group ICA method.
@en
prefLabel
Performance of blind source se ...... ysis using a group ICA method.
@ast
Performance of blind source se ...... ysis using a group ICA method.
@en
P2860
P1476
Performance of blind source se ...... ysis using a group ICA method.
@en
P2093
Nicolle Correa
Tülay Adali
P2860
P304
P356
10.1016/J.MRI.2006.10.017
P577
2006-12-08T00:00:00Z