Detecting neuroimaging biomarkers for schizophrenia: a meta-analysis of multivariate pattern recognition studies
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Prefrontal gray matter volume mediates genetic risks for obesityDiagnostic potential of structural neuroimaging for depression from a multi-ethnic community sample.Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Consensus paper of the WFSBP Task Force on Biological Markers: Criteria for biomarkers and endophenotypes of schizophrenia part II: Cognition, neuroimaging and genetics.Promises, Pitfalls, and Basic Guidelines for Applying Machine Learning Classifiers to Psychiatric Imaging Data, with Autism as an Example.Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders.Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers.Classifying Schizophrenia Using Multimodal Multivariate Pattern Recognition Analysis: Evaluating the Impact of Individual Clinical Profiles on the Neurodiagnostic Performance.Supervised, Multivariate, Whole-Brain Reduction Did Not Help to Achieve High Classification Performance in Schizophrenia ResearchMulti-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients.Selection bias in the reported performances of AD classification pipelines.Detecting Neuroimaging Biomarkers for Psychiatric Disorders: Sample Size Matters.Dysfunction of Large-Scale Brain Networks in Schizophrenia: A Meta-analysis of Resting-State Functional Connectivity.Abnormalities in the effective connectivity of visuothalamic circuitry in schizophrenia.Aberrant Functional Whole-Brain Network Architecture in Patients With Schizophrenia: A Meta-analysis.Connectivity of the anterior insula differentiates participants with first-episode schizophrenia spectrum disorders from controls: a machine-learning study.On the integrity of functional brain networks in schizophrenia, Parkinson's disease, and advanced age: Evidence from connectivity-based single-subject classification.Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals.Individualized prediction of schizophrenia based on the whole-brain pattern of altered white matter tract integrity.Mapping the Schizophrenia Genes by Neuroimaging: The Opportunities and the Challenges.Individualized covariance profile of cortical morphology for auditory hallucinations in first-episode psychosis.Differences in atypical resting-state effective connectivity distinguish autism from schizophrenia.Brain Subtyping Enhances The Neuroanatomical Discrimination of Schizophrenia.Machine learning classification of first-episode schizophrenia spectrum disorders and controls using whole brain white matter fractional anisotropy.Diagnostic value of structural and diffusion imaging measures in schizophrenia.The Effects of Music Intervention on Functional Connectivity Strength of the Brain in Schizophrenia.Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework.Data Driven Classification Using fMRI Network Measures: Application to SchizophreniaRecognition of Schizophrenia with Regularized Support Vector Machine and Sequential Region of Interest Selection using Structural Magnetic Resonance ImagingStructural and functional brain abnormalities in drug-naive, first-episode, and chronic patients with schizophrenia: a multimodal MRI study
P2860
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P2860
Detecting neuroimaging biomarkers for schizophrenia: a meta-analysis of multivariate pattern recognition studies
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Detecting neuroimaging biomark ...... te pattern recognition studies
@en
type
label
Detecting neuroimaging biomark ...... te pattern recognition studies
@en
prefLabel
Detecting neuroimaging biomark ...... te pattern recognition studies
@en
P2093
P2860
P50
P921
P356
P1476
Detecting neuroimaging biomark ...... te pattern recognition studies
@en
P2093
Berend Malchow
Joseph Kambeitz
Lana Kambeitz-Ilankovic
Nikolaos Koutsouleris
Stefan Leucht
P2860
P2888
P304
P356
10.1038/NPP.2015.22
P407
P577
2015-01-20T00:00:00Z
P5875
P6179
1004781831