An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques.
about
GABA in the insula - a predictor of the neural response to interoceptive awarenessA pilot multivariate parallel ICA study to investigate differential linkage between neural networks and genetic profiles in schizophrenia.Behavioral Interpretations of Intrinsic Connectivity NetworksDiscriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophreniaCombination of Resting State fMRI, DTI, and sMRI Data to Discriminate Schizophrenia by N-way MCCA + jICAThe MCIC collection: a shared repository of multi-modal, multi-site brain image data from a clinical investigation of schizophrenia.The utility of data-driven feature selection: re: Chu et al. 2012.Fusion analysis of functional MRI data for classification of individuals based on patterns of activation.Analysis of ANK3 and CACNA1C variants identified in bipolar disorder whole genome sequence data.Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness.Methods for cleaning the BOLD fMRI signal.Functional brain networks in schizophrenia: a reviewA CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophreniaVisual inspection of independent components: defining a procedure for artifact removal from fMRI data.Mining the mind research network: a novel framework for exploring large scale, heterogeneous translational neuroscience research data sourcesColonic pressure data processing based on independent component analysis.Automatic identification of functional clusters in FMRI data using spatial dependence.A review of multivariate methods for multimodal fusion of brain imaging dataChanges in brain functional network connectivity after stroke.A selective review of multimodal fusion methods in schizophrenia.De-noising with a SOCK can improve the performance of event-related ICA.High classification accuracy for schizophrenia with rest and task FMRI data.Effects of an alpha 7-nicotinic agonist on default network activity in schizophreniaA baseline for the multivariate comparison of resting-state networksResting-state temporal synchronization networks emerge from connectivity topology and heterogeneity.A robust classifier to distinguish noise from fMRI independent componentsNeural activity during interoceptive awareness and its associations with alexithymia-An fMRI study in major depressive disorder and non-psychiatric controls.Resting-state functional network connectivity in prefrontal regions differs between unmedicated patients with bipolar and major depressive disorders.Sub-patterns of language network reorganization in pediatric localization related epilepsy: a multisite studyEvaluating the effects of systemic low frequency oscillations measured in the periphery on the independent component analysis results of resting state networks.Time course based artifact identification for independent components of resting-state FMRI.Identification of imaging biomarkers in schizophrenia: a coefficient-constrained independent component analysis of the mind multi-site schizophrenia study.An automated method for identifying artifact in independent component analysis of resting-state FMRI.Resting-state functional connectivity emerges from structurally and dynamically shaped slow linear fluctuations.Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis.Environmental factors linked to depression vulnerability are associated with altered cerebellar resting-state synchronization.Convergent approaches for defining functional imaging endophenotypes in schizophreniaHigh-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia.
P2860
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P2860
An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques.
description
2009 nî lūn-bûn
@nan
2009 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
An ICA-based method for the id ...... oup-discriminative techniques.
@ast
An ICA-based method for the id ...... oup-discriminative techniques.
@en
type
label
An ICA-based method for the id ...... oup-discriminative techniques.
@ast
An ICA-based method for the id ...... oup-discriminative techniques.
@en
prefLabel
An ICA-based method for the id ...... oup-discriminative techniques.
@ast
An ICA-based method for the id ...... oup-discriminative techniques.
@en
P2860
P50
P1433
P1476
An ICA-based method for the id ...... oup-discriminative techniques.
@en
P2093
Godfrey D Pearlson
P2860
P356
10.1016/J.NEUROIMAGE.2009.01.026
P407
P577
2009-02-10T00:00:00Z