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A genetically informed, group fMRI connectivity modeling approach: Application to schizophrenia
Aiping Liu
,
Xiaohui Chen
, Z. Jane Wang
, Qi Xu
, Silke Appel-Cresswell
, Martin J. McKeown
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Dive into the research topics of 'A genetically informed, group fMRI connectivity modeling approach: Application to schizophrenia'. Together they form a unique fingerprint.
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Keyphrases
Functional Magnetic Resonance Imaging
100%
Schizophrenia
100%
Genotype
100%
Modeling Approach
100%
Connectivity Modeling
100%
Region of Interest
75%
Brain Connectivity
75%
D-amino Acid Oxidase Activator
75%
Single nucleotide Polymorphism
50%
Connectivity Pattern
50%
Genetic Studies
25%
Control Subjects
25%
Phenotypic Data
25%
Information Integration
25%
Neuroimaging Data
25%
Accurately Model
25%
Putamen
25%
Group Regressions
25%
Genetic Influences
25%
Genotypic Variability
25%
Left Middle Frontal Gyrus
25%
Brain Connectivity Analysis
25%
Posterior Cingulate
25%
Regularized Regression Model
25%
Resting-state Functional Magnetic Resonance Imaging (rs-fMRI)
25%
Multimodal Analysis
25%
Neuroscience
Functional Magnetic Resonance Imaging
100%
D-Amino Acid Oxidase
100%
Single-Nucleotide Polymorphism
66%
Middle Frontal Gyrus
33%
Putamen
33%
Posterior Cingulate
33%