林李泽强 (2022-08-31 22:57):
#paper doi:10.1093/bioinformatics/btz128,Bioinformatics,2019,Brain annotation toolbox: exploring thefunctional and genetic associations of neuroimaging results. 过去以来,大多数神经影像学研究的结果(比如激活的簇/区域或大脑区域之间的功能连接),往往无法方便和系统地解释,导致生物学意义不明确。在这项研究中,作者开发了一个大脑注释工具箱,它可以为神经成像结果自动生成功能和基因注释。该工具包是基于Neurosynth数据库中的体素级功能描述以及Allen人脑图谱中的基因表达谱,将它们用于生成区域级神经成像结果的功能/基因信息。这个工具包是基于MATLAB的免费的开源工具包,可以帮助为新发现的具有未知功能的区域提供功能/基因注释。
Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results
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Abstract:
MOTIVATION: Advances in neuroimaging and sequencing techniques provide an unprecedented opportunity to map the function of brain regions and identify the roots of psychiatric diseases. However, the results from most neuroimaging studies, i.e. activated clusters/regions or functional connectivities between brain regions, frequently cannot be conveniently and systematically interpreted, rendering the biological meaning unclear.RESULTS: We describe a brain annotation toolbox that generates functional and genetic annotations for neuroimaging results. The voxel-level functional description from the Neurosynth database and gene expression profile from the Allen Human Brain Atlas are used to generate functional/genetic information for region-level neuroimaging results. The validity of the approach is demonstrated by showing that the functional and genetic annotations for specific brain regions are consistent with each other; and further the region by region functional similarity network and genetic similarity network are highly correlated for major brain atlases. One application of brain annotation toolbox is to help provide functional/genetic annotations for newly discovered regions with unknown functions, e.g. the 97 new regions identified in the Human Connectome Project. Importantly, this toolbox can help understand differences between psychiatric patients and controls, and this is demonstrated using schizophrenia and autism data, for which the functional and genetic annotations for the neuroimaging changes in patients are consistent with each other and help interpret the results.AVAILABILITY AND IMPLEMENTATION: BAT is implemented as a free and open-source MATLAB toolbox and is publicly available at http://123.56.224.61:1313/post/bat.SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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