about
Quantifying functional connectivity in multi-subject fMRI data using component modelsTemplate based rotation: a method for functional connectivity analysis with a priori templatesAssessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia.Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI DataElectroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition studyA group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders.Parallel group independent component analysis for massive fMRI data sets.Spatial Variance in Resting fMRI Networks of Schizophrenia Patients: An Independent Vector Analysis.Resting-state functional network connectivity in prefrontal regions differs between unmedicated patients with bipolar and major depressive disorders.Building an EEG-fMRI Multi-Modal Brain Graph: A Concurrent EEG-fMRI Study.Segregation between the parietal memory network and the default mode network: effects of spatial smoothing and model order in ICA.Rumination and Default Mode Network Subsystems Connectivity in First-episode, Drug-Naive Young Patients with Major Depressive Disorder.Antidepressant Effects of Electroconvulsive Therapy Unrelated to the Brain's Functional Network Connectivity alterations at an Individual LevelAn improved multi-objective optimization-based CICA method with data-driver temporal reference for group fMRI data analysis.Olanzapine modulates the default-mode network homogeneity in recurrent drug-free schizophrenia at rest.Large-scale sparse functional networks from resting state fMRI.Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling.Identifying dynamic functional connectivity biomarkers using GIG-ICA: Application to schizophrenia, schizoaffective disorder, and psychotic bipolar disorder.Transcranial direct current stimulation effects on neural processing in post-stroke aphasia.Abnormal cognitive network interactions in Lennox-Gastaut syndrome: A potential mechanism of epileptic encephalopathy.Artifact removal in the context of group ICA: A comparison of single-subject and group approaches.A Novel Feature-Map Based ICA Model for Identifying the Individual, Intra/Inter-Group Brain Networks across Multiple fMRI Datasets.Structurofunctional resting-state networks correlate with motor function in chronic stroke.Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia.Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis.Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study.Changing brain connectivity dynamics: From early childhood to adulthood.Tumor Tissue Detection using Blood-Oxygen-Level-Dependent Functional MRI based on Independent Component Analysis.Thalamocortical functional connectivity in Lennox-Gastaut syndrome is abnormally enhanced in executive-control and default-mode networks.Characteristics of Resting-State Functional Connectivity in Intractable Unilateral Temporal Lobe Epilepsy Patients with Impaired Executive Control Function.Ten Key Observations on the Analysis of Resting-state Functional MR Imaging Data Using Independent Component Analysis.Functional Connectivity Parcellation of the Human Thalamus by Independent Component Analysis.When three is greater than five: EEG and fMRI signatures of errors in numerical and physical comparisons.Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but ChallengingIdentification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix FactorizationApplication of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs
P2860
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P2860
description
2012 nî lūn-bûn
@nan
2012 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Group information guided ICA for fMRI data analysis.
@ast
Group information guided ICA for fMRI data analysis.
@en
type
label
Group information guided ICA for fMRI data analysis.
@ast
Group information guided ICA for fMRI data analysis.
@en
prefLabel
Group information guided ICA for fMRI data analysis.
@ast
Group information guided ICA for fMRI data analysis.
@en
P1433
P1476
Group information guided ICA for fMRI data analysis.
@en
P2093
P304
P356
10.1016/J.NEUROIMAGE.2012.11.008
P407
P577
2012-11-27T00:00:00Z