Brain volumes as predictor of outcome in recent-onset schizophrenia: a multi-center MRI study.
about
Neuroimaging biomarkers to predict treatment response in schizophrenia: the end of 30 years of solitude?Very poor outcome schizophrenia: clinical and neuroimaging aspects.Assessment of the increase in variability when combining volumetric data from different scanners.N-Acetylaspartate in the CNS: from neurodiagnostics to neurobiology.Interpreting scan data acquired from multiple scanners: a study with Alzheimer's disease.Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: procedure development using CaliBrain structural MRI data.The course of brain abnormalities in schizophrenia: can we slow the progression?Impact of scanner hardware and imaging protocol on image quality and compartment volume precision in the ADNI cohort.Progressive brain changes in schizophrenia related to antipsychotic treatment? A meta-analysis of longitudinal MRI studies.Quantitative and qualitative assessment of structural magnetic resonance imaging data in a two-center study.Internal capsule size associated with outcome in first-episode schizophrenia.Individualized prediction of illness course at the first psychotic episode: a support vector machine MRI study.Influence of signal intensity non-uniformity on brain volumetry using an atlas-based methodLongitudinal regional brain volume loss in schizophrenia: Relationship to antipsychotic medication and change in social function.Remission status and cortical thickness in childhood-onset schizophrenia.Dorsolateral prefrontal lobe volume and neurological soft signs as predictors of clinical social and functional outcome in schizophrenia: A longitudinal study.Exploring predictors of outcome in the psychosis prodrome: implications for early identification and intervention.Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients.The psychoses: cluster 3 of the proposed meta-structure for DSM-V and ICD-11.Beyond the first episode: candidate factors for a risk prediction model of schizophrenia.Neuroimaging schizophrenia: a picture is worth a thousand words, but is it saying anything important?The Neuro/PsyGRID calibration experiment: identifying sources of variance and bias in multicenter MRI studies.Longitudinal study examining abnormal white matter integrity using a tract-specific analysis in individuals with a high risk for psychosis.Automated tractography of the cingulate bundle in Alzheimer's disease: a multicenter DTI study.Biological Predictors of Clozapine Response: A Systematic Review
P2860
Q27000120-C53A8136-47E4-4C95-A793-15D055DE08B6Q31120582-06DB511B-0BF5-4CA3-8BA3-4FE913CBA9B5Q31139227-49447E91-15A4-4334-BB85-64AC30289A43Q33271816-33C05E54-4B48-4554-9F9C-97DAC650374AQ33306779-FA0376D4-48B7-41D3-B516-85AFEA3319CDQ33445999-597EAAF1-4674-4F52-A304-09138EBC6D65Q33951370-18843E69-AA70-4E0C-BF0C-038C290381C2Q34180980-AB61DF20-C812-4229-8E3D-64ED587B4746Q34351095-3195E237-A71A-4A9F-8357-4958976DADABQ34367588-A5B43BA0-DC99-443E-AF15-FF99E2D91861Q34901885-BAF5E420-F154-4B29-921E-69D7B22CF0A0Q35861759-67C7D074-33ED-4283-A325-38B60D5BB6A8Q36063182-8F23901A-8496-46C3-B417-8603C9EBE259Q36157849-31DC5825-EB3D-45F3-BA5D-EAD0259B3337Q36196626-02DC5BE0-7579-402B-AE40-83BC527C42DEQ36965611-2DA9080A-51B6-46C4-8015-670C5BE54F2EQ37350407-0203D9F9-2485-4737-8DAF-11A1726C7210Q37540389-CB455274-CF7C-4C07-8884-1D909C5B0518Q37606626-4AABE8C1-A7DD-40B9-846A-75A7EA403FE9Q37760933-467C4D71-0E2E-4980-8CB9-9D2CBB4AF107Q38080464-D3410E75-F64A-4D93-9ED6-A39E161AA7D7Q39769455-214F272F-2457-4EE2-995B-19D2BB4FAB56Q47794794-E8611826-24A2-470E-BF0C-4027059E8AA9Q48646302-A40CD970-A0B9-4210-829B-1DFFB23B9EACQ57174550-583C4C47-524F-4053-93C0-B3616CC15E60
P2860
Brain volumes as predictor of outcome in recent-onset schizophrenia: a multi-center MRI study.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh
2003年學術文章
@zh-hant
name
Brain volumes as predictor of ...... nia: a multi-center MRI study.
@en
Brain volumes as predictor of ...... nia: a multi-center MRI study.
@nl
type
label
Brain volumes as predictor of ...... nia: a multi-center MRI study.
@en
Brain volumes as predictor of ...... nia: a multi-center MRI study.
@nl
prefLabel
Brain volumes as predictor of ...... nia: a multi-center MRI study.
@en
Brain volumes as predictor of ...... nia: a multi-center MRI study.
@nl
P2093
P50
P1476
Brain volumes as predictor of ...... nia: a multi-center MRI study.
@en
P2093
Aart H Schene
Adriaan Lemstra
Durk Wiersma
Esther Caspers
Hugo G Schnack
Margriet M Sitskoorn
Neeltje E M van Haren
Peter M Dingemans
Rob J van den Bosch
P356
10.1016/S0920-9964(03)00018-5
P407
P577
2003-11-01T00:00:00Z