精神分裂症(面向对象编程)
精神病
神经影像学
神经科学
生物
相似性(几何)
基因
表型
遗传相似性
基因调控网络
基因表达
大脑皮层
遗传学
心理学
医学
精神科
人口
人工智能
计算机科学
环境卫生
遗传多样性
图像(数学)
作者
Sarah E. Morgan,Jakob Seidlitz,Kirstie Whitaker,Rafael Romero-García,Nicholas E. Clifton,Cristina Scarpazza,Thérèse van Amelsvoort,Machteld Marcelis,Jim van Os,Gary Donohoe,David Mothersill,Aiden Corvin,Andrew Pocklington,Armin Raznahan,Philip McGuire,Petra E. Vértes,Edward T. Bullmore
标识
DOI:10.1073/pnas.1820754116
摘要
Schizophrenia has been conceived as a disorder of brain connectivity, but it is unclear how this network phenotype is related to the underlying genetics. We used morphometric similarity analysis of MRI data as a marker of interareal cortical connectivity in three prior case-control studies of psychosis: in total, n = 185 cases and n = 227 controls. Psychosis was associated with globally reduced morphometric similarity in all three studies. There was also a replicable pattern of case-control differences in regional morphometric similarity, which was significantly reduced in patients in frontal and temporal cortical areas but increased in parietal cortex. Using prior brain-wide gene expression data, we found that the cortical map of case-control differences in morphometric similarity was spatially correlated with cortical expression of a weighted combination of genes enriched for neurobiologically relevant ontology terms and pathways. In addition, genes that were normally overexpressed in cortical areas with reduced morphometric similarity were significantly up-regulated in three prior post mortem studies of schizophrenia. We propose that this combined analysis of neuroimaging and transcriptional data provides insight into how previously implicated genes and proteins as well as a number of unreported genes in their topological vicinity on the protein interaction network may drive structural brain network changes mediating the genetic risk of schizophrenia.
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