Is there an anatomical endophenotype for neurodevelopmental disorders? A review of dual disorder anatomical likelihood estimation (ALE) meta-analyses of grey matter volumes  

作　　者：MCALONAN Grainne M YU Kevin K CHAN Raymond C K CHUA Siew E CHEUNG Charlton 

机构地区：[1]Department of Psychiatry, the University of Hong Kong [2]State Key Laboratory for Brain and Cognitive Sciences, the University of Hong Kong [3]Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences

出　　处：《Chinese Science Bulletin》2011年第32期3376-3381,共6页

基　　金：The Autism Research Group in the Department of Psychiatry University of Hong Kong is grateful for donation funding from ING Asia/Pacific

摘　　要：The term "neurodevelopmental disorder" broadly encompasses conditions thought to arise early in development and includes schizophrenia, bipolar disorder and autism among others. These conditions share a number of genetic and environmental risk factors postulated to lead to common difficulties in socio-emotional processing, communication and cognitive function. The alternative position is that, while the same traits are affected across these conditions, the nature or direction in which they are modified may be distinct. MRI studies provide a rapidly expanding and rich database which we propose can be used to contribute to this debate. Anatomical likelihood estimation (ALE) is a method of meta-analysis applied to voxel-based MRI studies. We have adapted this method to explore the extent to which schizophrenia and bipolar disorder and schizophrenia and autism share a common brain structural phenotype. We will review this work here and discuss whether there is sufficient other evidence to justify a common framework for further research into the inter-relatedness of such conditions.The term ＂neurodevelopmental disorder＂ broadly encompasses conditions thought to arise early in development and includes schizophrenia, bipolar disorder and autism among others. These conditions share a number of genetic and environmental risk fac tors postulated to lead to common difficulties in socio-emotional processing, communication and cognitive function. The alterna- tive position is that, while the same traits are affected across these conditions, the nature or direction in which they are modified may be distinct. MRI studies provide a rapidly expanding and rich database which we propose can be used to contribute to this debate. Anatomical likelihood estimation （ALE） is a method of meta-analysis applied to voxel-based MRI studies. We have adapted this method to explore the extent to which schizophrenia and bipolar disorder and schizophrenia and autism share a common brain structural phenotype. We will review this work here and discuss whether there is sufficient other evidence to justi- fy a common framework for further research into the inter-relatedness of such conditions.

关 键 词：神经疾病 似然估计 审查工作 解剖 精神分裂症 稳定 质数 进修 

分 类 号：R749[医药卫生—神经病学与精神病学]