Analysis of fMRI data by blind separation into independent spatial components.
about
Can we measure memes?Intrinsic Default Mode Network Connectivity Predicts Spontaneous Verbal Descriptions of Autobiographical Memories during Social ProcessingTask-related concurrent but opposite modulations of overlapping functional networks as revealed by spatial ICACorrespondence of the brain's functional architecture during activation and restLinking inter-individual differences in neural activation and behavior to intrinsic brain dynamicsFast bootstrapping and permutation testing for assessing reproducibility and interpretability of multivariate fMRI decoding modelsResearch advances in geriatric depressionNeural predictors of moment-to-moment fluctuations in cognitive flexibilityApplying FSL to the FIAC data: model-based and model-free analysis of voice and sentence repetition primingResting-State fMRI in MS: General Concepts and Brief Overview of Its ApplicationMultivoxel pattern analysis for FMRI data: a reviewGABA in the insula - a predictor of the neural response to interoceptive awarenessNetwork Connectivity in Epilepsy: Resting State fMRI and EEG-fMRI Contributions.Denoising the speaking brain: toward a robust technique for correcting artifact-contaminated fMRI data under severe motion.Whole-brain activity mapping onto a zebrafish brain atlas.Baseline effects of transcranial direct current stimulation on glutamatergic neurotransmission and large-scale network connectivity.A review of heterogeneous data mining for brain disorder identificationIndependent component analysis of the effect of L-dopa on fMRI of language processingA Supervoxel-Based Method for Groupwise Whole Brain Parcellation with Resting-State fMRI DataA general probabilistic model for group independent component analysis and its estimation methodsInvestigations into resting-state connectivity using independent component analysisThe impact of global signal regression on resting state correlations: are anti-correlated networks introduced?Independent component analysis of functional MRI: what is signal and what is noise?An algorithm for separation of mixed sparse and Gaussian sources.The nature of the language input affects brain activation during learning from a natural languageImplications of cortical balanced excitation and inhibition, functional heterogeneity, and sparseness of neuronal activity in fMRI.On consciousness, resting state fMRI, and neurodynamics.EXPLORING FUNCTIONAL CONNECTIVITY IN FMRI VIA CLUSTERING.Age related-changes in the neural basis of self-generation in verbal paired associate learningNeural substrate differences in language networks and associated language-related behavioral impairments in children with TBI: a preliminary fMRI investigationBICAR: a new algorithm for multiresolution spatiotemporal data fusionState-related functional integration and functional segregation brain networks in schizophrenia.Effect of scanner acoustic background noise on strict resting-state fMRI.Sensory processing during viewing of cinematographic material: computational modeling and functional neuroimagingData-driven analysis of analogous brain networks in monkeys and humans during natural visionEpileptic networks studied with EEG-fMRI.Spatiotemporal Segregation of Neural Response to Auditory Stimulation: An fMRI Study Using Independent Component Analysis and Frequency-Domain Analysis.A spectral graphical model approach for learning brain connectivity network of children's narrative comprehension.Changes in resting state effective connectivity in the motor network following rehabilitation of upper extremity poststroke paresisLeft-handedness and language lateralization in children.
P2860
Q21129421-5190B951-E3C3-4EBA-A946-52FB792720D1Q21558370-8E8B315E-3ECF-41A6-B8F5-E14651BB174FQ23891137-5A469D1E-07EF-4B79-A8BC-3E345872CD35Q23891366-4EBA172D-C70F-442D-A20B-2714CAA566A8Q23993539-D95D9456-B43F-40F5-AA89-862BC232C982Q24278566-E8DAFF1B-1156-4771-BDA6-BE48249147FBQ24642269-C667443F-BD69-4CE8-A59A-17CC08A28912Q24655950-7565129C-27AE-4F8E-87D9-F25E347FBB8CQ25864246-D36DEAFB-A4F9-475C-9B54-E0500A927649Q26785647-B16C91F0-70C9-407D-B1CC-9C03DF4D9599Q26829721-6C7F1F38-671D-4B4D-9000-CFE9162982C4Q26830571-6FF3B0F5-1823-41EC-96D6-3D1FFB3195ACQ27011741-6EDCF2EA-2433-431E-A8D5-0C36659F4DF9Q27307609-5AA73E1B-18D3-4455-AD02-1C93B284DDEDQ27313683-54BDA432-933C-487D-A2B1-771FBD42E2ACQ27324743-B4688A28-6B47-4E6F-B768-6D142A7B6894Q28076677-D9F2C2B8-45A8-491C-8F74-FE73CBD85C1BQ28475146-FE61DB1B-A7DA-418A-A86D-3CEC64CA571CQ28524441-773CCD68-1FB9-4046-A50A-3C37E1C202DDQ28728579-81FBC0C1-7653-4DD5-842F-86C1BC7DC4D1Q29614804-B075E3D0-1F2F-46F3-AF31-41F431A79820Q29619522-958187BC-CD90-4C55-B104-0EA25133ECD8Q30243293-5839A057-FD0B-48FF-BA13-236EC72A44AFQ30357227-9EC2949F-B395-46DE-817F-7780C7C19A27Q30371083-D306D149-BC19-454E-BDC6-A6457B513E36Q30373386-A83894FA-6F01-44DD-B836-144291FC2B55Q30389979-40B02BD2-1ED2-4E05-8C74-A8FF400D3BDBQ30410778-E029B71D-0B8D-4E03-86A3-D2EE0E40B4CEQ30415016-126D290B-4798-4357-84E9-2A75BBCEC1AFQ30422231-4CEACBE6-8CCC-4995-9109-E573CB5C3A7CQ30424378-1E8BA496-0432-44C4-8428-53B1C7A7E594Q30427300-386BFB9E-32B2-4523-A581-C105429F8A86Q30445729-63385582-AC5A-4762-A422-CC73F2A18409Q30446838-40509081-54A0-4EAE-B8CA-A36ED8993CF8Q30447185-EE0AC312-3EF4-486D-B41A-7D4C4B6C9034Q30448448-18DFD777-91B4-4A60-931F-50E477DA6590Q30452765-064A0002-22D4-4264-B44B-30063581021DQ30456038-3D9ACD37-902D-434C-AA58-476DAAFB5B27Q30457490-70CB10DD-855A-46B5-9FD9-685FB4F6A5AAQ30459020-5FEF78D5-DDA2-4232-A670-4C8AD99EA8BC
P2860
Analysis of fMRI data by blind separation into independent spatial components.
description
1998 nî lūn-bûn
@nan
1998 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
1998 թվականի հունվարին հրատարակված գիտական հոդված
@hy
1998年の論文
@ja
1998年論文
@yue
1998年論文
@zh-hant
1998年論文
@zh-hk
1998年論文
@zh-mo
1998年論文
@zh-tw
1998年论文
@wuu
name
Analysis of fMRI data by blind separation into independent spatial components.
@ast
Analysis of fMRI data by blind separation into independent spatial components.
@en
type
label
Analysis of fMRI data by blind separation into independent spatial components.
@ast
Analysis of fMRI data by blind separation into independent spatial components.
@en
prefLabel
Analysis of fMRI data by blind separation into independent spatial components.
@ast
Analysis of fMRI data by blind separation into independent spatial components.
@en
P2093
P1433
P1476
Analysis of fMRI data by blind separation into independent spatial components.
@en
P2093
P304
P356
10.1002/(SICI)1097-0193(1998)6:3<160::AID-HBM5>3.3.CO;2-R
P577
1998-01-01T00:00:00Z