Use of neuroanatomical pattern regression to predict the structural brain dynamics of vulnerability and transition to psychosis.
about
Towards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject levelIdentifying Individuals at High Risk of Psychosis: Predictive Utility of Support Vector Machine using Structural and Functional MRI Data.Early recognition and disease prediction in the at-risk mental states for psychosis using neurocognitive pattern classification.Gray matter volumetric abnormalities associated with the onset of psychosis.Gray matter alterations in schizophrenia high-risk youth and early-onset schizophrenia: a review of structural MRI findingsPrevalence of attenuated psychotic symptoms and their relationship with DSM-IV diagnoses in a general psychiatric outpatient clinic.Decoding continuous variables from neuroimaging data: basic and clinical applications.Accelerated brain aging in schizophrenia and beyond: a neuroanatomical marker of psychiatric disordersInterpreting a multivariate analysis of functional neuroimaging data.Neuroimaging findings in the at-risk mental state: a review of recent literature.Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers.Diagnostic neuroimaging across diseases.Progress and Future Directions in Research on the Psychosis Prodrome: A Review for Clinicians.Structural brain changes are associated with response of negative symptoms to prefrontal repetitive transcranial magnetic stimulation in patients with schizophrenia.Diagnosing tuberculosis with a novel support vector machine-based artificial immune recognition system.Multivariate patterns of brain-cognition associations relating to vulnerability and clinical outcome in the at-risk mental states for psychosis.Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals.Identification of psychopathic individuals using pattern classification of MRI images.White-matter microstructure in previously drug-naive patients with schizophrenia after 6 weeks of treatment.Predicting first episode psychosis in those at high risk for genetic or cognitive reasons.Structural and functional alterations in the brain during working memory in medication-naïve patients at clinical high-risk for psychosis.
P2860
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P2860
Use of neuroanatomical pattern regression to predict the structural brain dynamics of vulnerability and transition to psychosis.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
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2010年学术文章
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2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
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2010年學術文章
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2010年學術文章
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name
Use of neuroanatomical pattern ...... y and transition to psychosis.
@en
Use of neuroanatomical pattern ...... y and transition to psychosis.
@nl
type
label
Use of neuroanatomical pattern ...... y and transition to psychosis.
@en
Use of neuroanatomical pattern ...... y and transition to psychosis.
@nl
prefLabel
Use of neuroanatomical pattern ...... y and transition to psychosis.
@en
Use of neuroanatomical pattern ...... y and transition to psychosis.
@nl
P2093
P50
P1476
Use of neuroanatomical pattern ...... y and transition to psychosis.
@en
P2093
Eva M Meisenzahl
Gisela Schmitt
Markus Jäger
Maximilian Reiser
Nikolaos Koutsouleris
Petra Decker
P304
P356
10.1016/J.SCHRES.2010.08.032
P407
P577
2010-09-17T00:00:00Z