Stability test of canonical correlation analysis for studying brain‐behavior relationships: The effects of subject‐to‐variable ratios and correlation strengths
| العنوان: | Stability test of canonical correlation analysis for studying brain‐behavior relationships: The effects of subject‐to‐variable ratios and correlation strengths |
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| المؤلفون: | Feng Liu, Yingchao Song, Chunshui Yu, Meng Liang, Xinxin Zhang, Qingqing Yang, Wen Qin |
| المصدر: | Human Brain Mapping |
| بيانات النشر: | Wiley, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Adult, Male, Multivariate statistics, Adolescent, behaviors, information science, Context (language use), Stability (probability), 050105 experimental psychology, Correlation, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Neuroimaging, Similarity (network science), parasitic diseases, Statistics, Humans, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, cardiovascular diseases, Gray Matter, Research Articles, Mathematics, neuroimaging, reliability, Radiological and Ultrasound Technology, Functional Neuroimaging, fungi, 05 social sciences, Brain, Reproducibility of Results, stability, Magnetic Resonance Imaging, Neurology, Canonical Correlation Analysis, cardiovascular system, Female, Neurology (clinical), Anatomy, Canonical correlation, 030217 neurology & neurosurgery, Research Article, Curse of dimensionality |
| الوصف: | Canonical correlation analysis (CCA), a multivariate approach to identifying correlations between two sets of variables, is becoming increasingly popular in neuroimaging studies on brain‐behavior relationships. However, the CCA stability in neuroimaging applications has not been systematically investigated. Although it is known that the number of subjects should be greater than the number of variables due to the curse of dimensionality, it is unclear at what subject‐to‐variable ratios (SVR) and at what correlation strengths the CCA stability can be maintained. Here, we systematically assessed the CCA stability, in the context of investigating the relationship between the brain structural/functional imaging measures and the behavioral measures, by measuring the similarity of the first‐mode canonical variables across randomly sampled subgroups of subjects from a large set of 936 healthy subjects. Specifically, we tested how the CCA stability changes with SVR under two different brain‐behavior correlation strengths. The same tests were repeated using an independent data set (n = 700) for validation. The results confirmed that both SVR and correlation strength affect greatly the CCA stability—the CCA stability cannot be guaranteed if the SVR is not sufficiently high or the brain‐behavior relationship is not sufficiently strong. Based on our quantitative characterization of CCA stability, we provided a practical guideline to help correct interpretation of CCA results and proper applications of CCA in neuroimaging studies on brain‐behavior relationships. Canonical correlation analysis (CCA) is becoming increasingly popular for studying brain‐behavior relationships. However, the CCA stability in neuroimaging applications has not been systematically investigated. Here, we systematically tested the CCA stability and confirmed that both subject‐to‐variable ratios and correlation strength affect greatly the CCA stability. |
| تدمد: | 1097-0193 1065-9471 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ddf5ea9a79b6505764e2ecbe712c8edTest https://doi.org/10.1002/hbm.25373Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....8ddf5ea9a79b6505764e2ecbe712c8ed |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 10970193 10659471 |
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