Method for multimodal analysis of independent source differences in schizophrenia: combining gray matter structural and auditory oddball functional data.
about
Exploring the psychosis functional connectome: aberrant intrinsic networks in schizophrenia and bipolar disorderA pilot multivariate parallel ICA study to investigate differential linkage between neural networks and genetic profiles in schizophrenia.Brain structure-function associations identified in large-scale neuroimaging data.State-related functional integration and functional segregation brain networks in schizophrenia.Differentiating hemispheric contributions to syntax and semantics in patients with left-hemisphere lesions.Correspondence between structure and function in the human brain at rest.Dysregulation of working memory and default-mode networks in schizophrenia using independent component analysis, an fBIRN and MCIC studyCanonical Correlation Analysis for Data Fusion and Group Inferences: Examining applications of medical imaging data.Canonical Correlation Analysis for Feature-Based Fusion of Biomedical Imaging Modalities and Its Application to Detection of Associative Networks in SchizophreniaHemispheric differences in hemodynamics elicited by auditory oddball stimuli.A method for multi-group inter-participant correlation: abnormal synchrony in patients with schizophrenia during auditory target detectionFeature-based fusion of medical imaging data.Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.Using joint ICA to link function and structure using MEG and DTI in schizophreniaThree-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.Function-structure associations of the brain: evidence from multimodal connectivity and covariance studiesFusion analysis of functional MRI data for classification of individuals based on patterns of activation.A method for multitask fMRI data fusion applied to schizophrenia.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.Structural and functional magnetic resonance imaging in psychiatric disorders.A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP dataFunctional brain networks in schizophrenia: a reviewBrain Structural Networks Associated with Intelligence and Visuomotor Ability.Aberrant Processing of Deviant Stimuli in Schizophrenia Revealed by Fusion of FMRI and EEG Data.Growth Charting of Brain Connectivity Networks and the Identification of Attention Impairment in YouthEEGIFT: group independent component analysis for event-related EEG data.A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function.A review of multivariate methods for multimodal fusion of brain imaging dataMedial prefrontal cortex pathology in schizophrenia as revealed by convergent findings from multimodal imaging.Functional and structural MR imaging in neuropsychiatric disorders, part 2: application in schizophrenia and autism.Convergent evidence from multimodal imaging reveals amygdala abnormalities in schizophrenic patients and their first-degree relativesA selective review of multimodal fusion methods in schizophrenia.Genetic associations of brain structural networks in schizophrenia: a preliminary studyMultimodal functional and structural imaging investigations in psychosis research.Longitudinal evidence for diminished frontal cortex function in aging.Assessing brain structural associations with working-memory related brain patterns in schizophrenia and healthy controls using linked independent component analysis.Predicting cognitive decline in subjects at risk for Alzheimer disease by using combined cerebrospinal fluid, MR imaging, and PET biomarkers
P2860
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P2860
Method for multimodal analysis of independent source differences in schizophrenia: combining gray matter structural and auditory oddball functional data.
description
2006 nî lūn-bûn
@nan
2006 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հունվարին հրատարակված գիտական հոդված
@hy
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
name
Method for multimodal analysis ...... itory oddball functional data.
@ast
Method for multimodal analysis ...... itory oddball functional data.
@en
type
label
Method for multimodal analysis ...... itory oddball functional data.
@ast
Method for multimodal analysis ...... itory oddball functional data.
@en
prefLabel
Method for multimodal analysis ...... itory oddball functional data.
@ast
Method for multimodal analysis ...... itory oddball functional data.
@en
P2093
P2860
P356
P1433
P1476
Method for multimodal analysis ...... itory oddball functional data.
@en
P2093
P2860
P356
10.1002/HBM.20166
P577
2006-01-01T00:00:00Z