Subject order-independent group ICA (SOI-GICA) for functional MRI data analysis.
about
Likelihood-based population independent component analysisToward a neurometric foundation for probabilistic independent component analysis of fMRI data.Exploring Dynamic Brain Functional Networks Using Continuous "State-Related" Functional MRIDefault mode network differences between rigidity- and tremor-predominant Parkinson's diseaseDisrupted functional brain connectivity in partial epilepsy: a resting-state fMRI study.Determination of dominant frequency of resting-state brain interaction within one functional system.Aberrant functional organization within and between resting-state networks in ADDisrupted resting-state attentional networks in T2DM patients.Default mode network alterations during implicit emotional faces processing in first-episode, treatment-naive major depression patients.Association between abnormal default mode network activity and suicidality in depressed adolescents.The Lateralization of Intrinsic Networks in the Aging Brain Implicates the Effects of Cognitive TrainingAltered resting-state brain activity in obstructive sleep apneaIncreased frontal functional networks in adult survivors of childhood brain tumorsDisruption of cortical integration during midazolam-induced light sedation.Altered functional organization within and between resting-state networks in chronic subcortical infarction.PreSurgMapp: a MATLAB Toolbox for Presurgical Mapping of Eloquent Functional Areas Based on Task-Related and Resting-State Functional MRI.Disrupted effective connectivity of the sensorimotor network in amyotrophic lateral sclerosis.Resting-state networks in 6-to-10 year old children.Comparison of PCA approaches for very large group ICA.Resting state basal ganglia network in idiopathic generalized epilepsy.Abnormal salience network in normal aging and in amnestic mild cognitive impairment and Alzheimer's disease.An automated method for identifying an independent component analysis-based language-related resting-state network in brain tumor subjects for surgical planning.Tumor Tissue Detection using Blood-Oxygen-Level-Dependent Functional MRI based on Independent Component Analysis.Executive control network connectivity strength protects against relapse to cocaine use.Multiple Resting-State Networks Are Associated With Tremors and Cognitive Features in Essential Tremor.Functional Connectivity Alterations in Children with Spastic and Dyskinetic Cerebral Palsy
P2860
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P2860
Subject order-independent group ICA (SOI-GICA) for functional MRI data analysis.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մարտին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Subject order-independent group ICA (SOI-GICA) for functional MRI data analysis.
@ast
Subject order-independent group ICA (SOI-GICA) for functional MRI data analysis.
@en
Subject order-independent group ICA
@nl
type
label
Subject order-independent group ICA (SOI-GICA) for functional MRI data analysis.
@ast
Subject order-independent group ICA (SOI-GICA) for functional MRI data analysis.
@en
Subject order-independent group ICA
@nl
prefLabel
Subject order-independent group ICA (SOI-GICA) for functional MRI data analysis.
@ast
Subject order-independent group ICA (SOI-GICA) for functional MRI data analysis.
@en
Subject order-independent group ICA
@nl
P2093
P1433
P1476
Subject order-independent group ICA (SOI-GICA) for functional MRI data analysis.
@en
P2093
Chao-Zhe Zhu
Michael P Milham
Shuang-Ye Ma
P304
P356
10.1016/J.NEUROIMAGE.2010.03.039
P407
P577
2010-03-23T00:00:00Z