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3
Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness.脑成像数据的多模态融合：寻找复杂精神疾病中缺失环节的关键。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2016 May;1(3):230-244. doi: 10.1016/j.bpsc.2015.12.005.
4
Advances and pitfalls in the analysis and interpretation of resting-state FMRI data.静息态 fMRI 数据分析与解读的进展与误区。
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A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data.功能磁共振成像数据的独立成分分析及成像、基因和事件相关电位数据联合推断的独立成分分析综述。
Neuroimage. 2009 Mar;45(1 Suppl):S163-72. doi: 10.1016/j.neuroimage.2008.10.057. Epub 2008 Nov 13.
6
Whole brain voxel-wise analysis of single-subject serial DTI by permutation testing.通过置换检验对单受试者系列扩散张量成像进行全脑体素分析。
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Discussion on "Distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo.

作者信息

Shappell Heather, Simpson Sean L

机构信息

Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.

Laboratory for Complex Brain Networks, Department of Radiology, Wake Forest University School of Medicine, Winston Salem, North Carolina, USA.

出版信息

Biometrics. 2022 Sep;78(3):1106-1108. doi: 10.1111/biom.13589. Epub 2022 Mar 15.

DOI:10.1111/biom.13589
PMID:35290677
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9475488/
Abstract
摘要