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Updated: Sep 15, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

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较长的扫描可以提高预测能力并降低大脑相关性研究的成本

Leon Qi Rong Ooi1,2,3,4,5, Csaba Orban2,3,5, Shaoshi Zhang1,2,3,4,5

  • 1Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore.

Nature
|July 16, 2025
PubMed
概括

优化全脑关联研究 (BWAS) 需要平衡样本大小和功能磁共振成像 (fMRI) 扫描时间. 较长的扫描效率高达30分钟,但更大的样本最终会产生更高的预测准确度.

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Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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