
Despite many neuroimaging studies on schizophrenia showing brain abnormalities the exact time course of their occurrence is unknown. Studies of gray matter are a powerful tool in biological psychiatry and provide an unprecedented opportunity for brain structure investigations. Here we compared cross-sectional and longitudinal structural neuroimaging studies distinguishing high-risk subjects developing psychosis from those who did not. These investigations on gray matter volumes in the prodromal phase potentially identify core structural markers of impending psychoses and clarify dynamic changes underlying the transition. Subjects at high risk of psychosis show qualitatively similar albeit less severe gray matter abnormalities as patients with psychosis.
Cross-Sectional Studie, Brain Mapping, PubMed, High-risk, 610, Brain, Psychosi, Longitudinal Studie, Neuroimaging, Psychotic Disorder, Cross-Sectional Studies, Psychotic Disorders, 616, Schizophrenia, Humans, Longitudinal Studies, Gray matter, VBM, MRI, Human
Cross-Sectional Studie, Brain Mapping, PubMed, High-risk, 610, Brain, Psychosi, Longitudinal Studie, Neuroimaging, Psychotic Disorder, Cross-Sectional Studies, Psychotic Disorders, 616, Schizophrenia, Humans, Longitudinal Studies, Gray matter, VBM, MRI, Human
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 46 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
