Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition
about
Neural systems predicting long-term outcome in dyslexiaStructural brain alterations in individuals at ultra-high risk for psychosis: a review of magnetic resonance imaging studies and future directionsRevisiting the Basic Symptom Concept: Toward Translating Risk Symptoms for Psychosis into Neurobiological TargetsMachine learning approaches: from theory to application in schizophreniaNeuroimaging biomarkers to predict treatment response in schizophrenia: the end of 30 years of solitude?Predicting the risk of psychosis onset: advances and prospectsTowards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject levelTriangulating perspectives on functional neuroimaging for disorders of mental healthLongitudinal imaging pattern analysis (SPARE-CD index) detects early structural and functional changes before cognitive decline in healthy older adultsA review of feature reduction techniques in neuroimagingGenerative embedding for model-based classification of fMRI data.Alterations in the hippocampus and thalamus in individuals at high risk for psychosis.Identifying 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.Basic disturbances of information processing in psychosis prediction.Neuropsychological profiles in different at-risk states of psychosis: executive control impairment in the early--and additional memory dysfunction in the late--prodromal stateResearch in people with psychosis risk syndrome: a review of the current evidence and future directionsPredictive classification of individual magnetic resonance imaging scans from children and adolescents.Gray matter volumetric abnormalities associated with the onset of psychosis.Using genetic, cognitive and multi-modal neuroimaging data to identify ultra-high-risk and first-episode psychosis at the individual level.Neuroimaging-based biomarkers in psychiatry: clinical opportunities of a paradigm shift.Near-infrared spectroscopy in schizophrenia: a possible biomarker for predicting clinical outcome and treatment response.Annual research review: Current limitations and future directions in MRI studies of child- and adult-onset developmental psychopathologies.Structural and Functional Brain Abnormalities in Schizophrenia.Brain imaging during the transition from psychosis prodrome to schizophrenia.Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data.Applications of multivariate pattern classification analyses in developmental neuroimaging of healthy and clinical populationsProgressive structural brain changes in schizophrenia.Diffusion tensor imaging reliably differentiates patients with schizophrenia from healthy volunteers.Computational psychiatry as a bridge from neuroscience to clinical applications.Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis.Diagnosis of autism spectrum disorders using regional and interregional morphological features.Classification of first-episode schizophrenia patients and healthy subjects by automated MRI measures of regional brain volume and cortical thickness.On the generalizability of resting-state fMRI machine learning classifiers.Boosting power for clinical trials using classifiers based on multiple biomarkers.Accelerated brain aging in schizophrenia and beyond: a neuroanatomical marker of psychiatric disordersPattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescentsLooking for childhood-onset schizophrenia: diagnostic algorithms for classifying children and adolescents with psychosis.Prediction of post-earthquake depressive and anxiety symptoms: a longitudinal resting-state fMRI study.The 2nd Schizophrenia International Research Society Conference, 10-14 April 2010, Florence, Italy: summaries of oral sessions.
P2860
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P2860
Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition
description
2009 nî lūn-bûn
@nan
2009 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Use of neuroanatomical pattern ...... and predict disease transition
@ast
Use of neuroanatomical pattern ...... and predict disease transition
@en
type
label
Use of neuroanatomical pattern ...... and predict disease transition
@ast
Use of neuroanatomical pattern ...... and predict disease transition
@en
prefLabel
Use of neuroanatomical pattern ...... and predict disease transition
@ast
Use of neuroanatomical pattern ...... and predict disease transition
@en
P2093
P2860
P50
P1433
P1476
Use of neuroanatomical pattern ...... and predict disease transition
@en
P2093
Eva M Meisenzahl
Gisela Schmitt
Maximilian Reiser
Nikolaos Koutsouleris
Petra Decker
Thomas Zetzsche
P2860
P304
P356
10.1001/ARCHGENPSYCHIATRY.2009.62
P407
P50
P577
2009-07-01T00:00:00Z