Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness.
about
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data.Multimodal Classification of Schizophrenia Patients with MEG and fMRI Data Using Static and Dynamic Connectivity Measures.Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders.Single-trial EEG-informed fMRI analysis of emotional decision problems in hot executive function.Refinement by integration: aggregated effects of multimodal imaging markers on adult ADHD.Multimodal Neuroimaging in Schizophrenia: Description and Dissemination.SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets.Multimodal Fusion with Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia.Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders.Diagnostic classification of unipolar depression based on resting-state functional connectivity MRI: effects of generalization to a diverse sample.Source Localization of Brain States Associated with Canonical Neuroimaging Postures.A family of locally constrained CCA models for detecting activation patterns in fMRI.A Method for Intertemporal Functional-Domain Connectivity Analysis: Application to Schizophrenia Reveals Distorted Directional Information Flow.Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning MachineDetection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy.Schizophrenia Shows Disrupted Links between Brain Volume and Dynamic Functional Connectivity.Adolescent Tuning of Association Cortex in Human Structural Brain Networks.Non-concomitant cortical structural and functional alterations in sensorimotor areas following incomplete spinal cord injury.Multimodal neural correlates of cognitive control in the Human Connectome Project.MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder.Moving Beyond ERP Components: A Selective Review of Approaches to Integrate EEG and Behavior.Variability in Resting State Network and Functional Network Connectivity Associated With Schizophrenia Genetic Risk: A Pilot Study.Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but ChallengingA Perspective of the Cross-Tissue Interplay of Genetics, Epigenetics, and Transcriptomics, and Their Relation to Brain Based Phenotypes in SchizophreniaMultimodal neuromarkers in schizophrenia via cognition-guided MRI fusionMultimodal canonical correlation reveals converging neural circuitry across trauma-related disorders of affect and cognition
P2860
Q31063019-75B4A73A-BD19-4200-BA4F-22E476721FB3Q31095968-502DFB7F-8B68-41CD-A3AA-8615F47F49A3Q31140578-08936532-CAC4-4B02-9764-EA39ED5DF017Q33854087-15DD25CD-EA7D-4B45-A8E3-6C4F531C37C5Q33917380-D1F6DFF0-B1B7-4750-948D-B30D664EAF9DQ38612786-0FCFF507-7D6E-4D97-922D-8211E6C4D7A0Q38622665-45D0A01C-6908-42FB-93FD-94CE780C9EE0Q38652208-DDC966B0-F3FB-4665-A8C5-18185651F82BQ38679048-6AA6C820-CFA2-4667-BA2D-9FE8611AD798Q38732918-FA184066-BFF6-4E7E-AA08-8234C45227D7Q38775840-0850A8FA-61B0-4ABD-9925-2EBFC510FEE0Q38962459-F3E234E0-F18E-4449-9301-B28D96B96835Q39044983-7AA596B0-5C4D-469A-B4F5-9AC5369793C9Q39473808-0BECDCBA-CC0F-45A9-860B-352F845B1FFDQ41699636-89ED5A7D-A37A-4178-AFCE-BD768583C9A8Q45949993-91288205-DC14-4C82-A029-4225D510D9C3Q47108562-6A547612-CFE6-4AC5-9C00-210E8ED4A84CQ47310360-E9CEB7B0-90E3-420E-B32B-AE68891E5454Q47555163-ECDAAFDF-214E-45D4-8D29-BEBD41880420Q47722326-3B00B1B6-692F-44FE-960B-41056A92B1D5Q50161691-2F4D3DFE-41D3-46E8-946B-6CA4DB1FD74EQ52597685-5FCA61DD-3F31-4DAB-AAE4-95C53DFE9EFCQ52653152-DA6CF330-1AE1-47A6-A8E1-0AB49797828CQ57170569-156CBF9D-0516-4A17-B63B-7A651E0B6DDFQ58712902-8F6FDB58-D05A-49DE-9595-B37D3241893CQ58803583-36DB71A7-3943-44FF-B32B-D736514EFFADQ59137337-A3A2ABFB-0488-4D16-AFA7-03E7E43CC02B
P2860
Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness.
description
2016 nî lūn-bûn
@nan
2016 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Multimodal fusion of brain ima ...... (s) in complex mental illness.
@ast
Multimodal fusion of brain ima ...... (s) in complex mental illness.
@en
type
label
Multimodal fusion of brain ima ...... (s) in complex mental illness.
@ast
Multimodal fusion of brain ima ...... (s) in complex mental illness.
@en
prefLabel
Multimodal fusion of brain ima ...... (s) in complex mental illness.
@ast
Multimodal fusion of brain ima ...... (s) in complex mental illness.
@en
P2860
P1476
Multimodal fusion of brain ima ...... (s) in complex mental illness.
@en
P2860
P304
P356
10.1016/J.BPSC.2015.12.005
P577
2016-05-01T00:00:00Z