Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.
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Structural cerebral variations as useful endophenotypes in schizophrenia: do they help construct "extended endophenotypes"?The role of inflammation in schizophreniaPredicting the risk of psychosis onset: advances and prospectsUse of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transitionGray matter alterations in schizophrenia high-risk youth and early-onset schizophrenia: a review of structural MRI findingsA review of neuroimaging studies of young relatives of individuals with schizophrenia: a developmental perspective from schizotaxia to schizophrenia.Deconstructing psychosis with human brain imaging.Brain structure and function changes during the development of schizophrenia: the evidence from studies of subjects at increased genetic risk.Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: procedure development using CaliBrain structural MRI data.A Review of Challenges in the Use of fMRI for Disease Classification / Characterization and A Projection Pursuit Application from Multi-site fMRI Schizophrenia Study.The anatomy of first-episode and chronic schizophrenia: an anatomical likelihood estimation meta-analysisThe 2nd Schizophrenia International Research Society Conference, 10-14 April 2010, Florence, Italy: summaries of oral sessions.Immune System and SchizophreniaFunctional Magnetic Resonance Imaging - Implications for Detection of Schizophrenia.The impact of substance use on brain structure in people at high risk of developing schizophrenia.Disease prediction in the at-risk mental state for psychosis using neuroanatomical biomarkers: results from the FePsy study.MRI brain volume abnormalities in young, nonpsychotic relatives of schizophrenia probands are associated with subsequent prodromal symptoms.Grey matter and cognitive deficits in young relatives of schizophrenia patients.A novel approach to probabilistic biomarker-based classification using functional near-infrared spectroscopyNeurobiology of the early course of schizophrenia.Exploring predictors of outcome in the psychosis prodrome: implications for early identification and intervention.Psychosis prediction and clinical utility in familial high-risk studies: selective review, synthesis, and implications for early detection and intervention.Beyond the first episode: candidate factors for a risk prediction model of schizophrenia.Do we have any solid evidence of clinical utility about the pathophysiology of schizophrenia?Chances and risks of predicting psychosis.Neuroimaging schizophrenia: a picture is worth a thousand words, but is it saying anything important?Self-disturbances as a possible premorbid indicator of schizophrenia risk: a neurodevelopmental perspective.Gamma oscillation deficits and the onset and early progression of schizophrenia.Speed of facial affect intensity recognition as an endophenotype of first-episode psychosis and associated limbic-cortical grey matter systems.Clinical psychopathology in youth at familial high risk for psychosis.Extensive brain structural network abnormality in first-episode treatment-naive patients with schizophrenia: morphometrical and covariation study.Inflammation in Schizophrenia: Pathogenetic Aspects and Therapeutic Considerations.Abnormalities in connectivity of white-matter tracts in patients with familial and non-familial schizophrenia
P2860
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P2860
Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.
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2006 nî lūn-bûn
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2006 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
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2006 թվականի դեկտեմբերին հրատարակված գիտական հոդված
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2006年の論文
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2006年論文
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2006年論文
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2006年論文
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2006年論文
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2006年論文
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2006年论文
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Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.
@ast
Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.
@en
Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.
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Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.
@ast
Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.
@en
Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.
@nl
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Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.
@ast
Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.
@en
Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.
@nl
P2093
P2860
P50
P356
P1433
P1476
Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.
@en
P2093
David G C Owens
Eve C Johnstone
Stephen M Lawrie
P2860
P2888
P356
10.1186/1741-7015-4-29
P407
P577
2006-12-07T00:00:00Z
P5875
P6179
1045400218